JP7575588B2 - Method and device for adjusting warning threshold, electronic device, and storage medium - Google Patents

Description

The present disclosure relates to the technical field of intelligent driving, and in particular to a method and device for adjusting a warning threshold for driver behavior detection, an electronic device, and a storage medium.

The Driver Monitoring System (DMS) can identify the driver's driving state through images collected by a camera pointed at the driver's face. If the system identifies the driver as engaging in risky behavior such as distraction, fatigue, making a phone call, drinking water or smoking, it can issue a real-time warning to ensure the driver's safe driving.

This disclosure provides a technical means for adjusting warning thresholds for driver behavior detection.

According to one aspect of the present disclosure, there is provided a method for adjusting a warning threshold for driver behavior detection, the method including receiving false warning feedback information indicating the occurrence of a false warning based on a first behavior detection result of the driver, acquiring the first behavior detection result of the driver, and adjusting a warning parameter threshold corresponding to the first behavior detection result of the driver based on the false warning feedback information.

In one or more possible embodiments, adjusting the warning parameter threshold corresponding to the driver's first behavior detection result based on the false warning feedback information includes issuing first attention prompting information to prompt a user to adjust the warning parameter threshold corresponding to the driver's first behavior detection result in response to the false warning feedback information, and adjusting the warning parameter threshold corresponding to the driver's first behavior detection result in response to receiving a warning parameter threshold adjustment command transmitted from the user in response to the first attention prompting information.

In one or more possible embodiments, the method for adjusting a warning threshold for driver behavior detection further includes identifying a behavior type corresponding to the first behavior detection result of the driver, and adjusting the warning parameter threshold corresponding to the first behavior detection result of the driver includes adjusting the warning parameter threshold for the behavior type corresponding to the first behavior detection result of the driver.

In one or more possible embodiments, adjusting the warning parameter threshold corresponding to the driver's first behavior detection result includes increasing or decreasing the warning parameter threshold corresponding to the driver's first behavior detection result by a predetermined adjustment step width.

In one or more possible embodiments, the driver behavior detection warning threshold adjustment method further includes identifying a type of the false warning, and the type of the false warning includes at least one of a type of falsely warning a first dangerous driving behavior as a second dangerous driving behavior having a behavior type different from the first dangerous driving behavior, and a type of issuing a warning when the dangerous driving behavior does not occur.

In one or more possible embodiments, after receiving the false alarm feedback information, the method further includes obtaining first video data that triggered the false alarm, the first video data including video data of a predetermined driver behavior, and storing the first video data in a false alarm video library.

In one or more possible embodiments, obtaining the first video data that triggered the false alarm includes obtaining the first video data within a predetermined period of time before the false alarm feedback information was received, or obtaining the first video data transmitted by a user prior to issuing the false alarm feedback information.

In one or more possible embodiments, the method for adjusting the warning threshold for driver behavior detection further includes, after adjusting the warning parameter threshold corresponding to the first behavior detection result of the driver, acquiring second video data including video data of the predetermined behavior of the driver, detecting the driving behavior based on the second video data and the adjusted warning parameter threshold to obtain a second behavior detection result, and, when false warning feedback information for the second behavior detection result is received, adjusting the warning parameter threshold corresponding to the second behavior detection result.

In one or more possible embodiments, the method further includes reading a warning parameter threshold corresponding to at least one predetermined type of driving behavior, and the obtaining of the driver's first behavior detection result includes identifying a target predetermined type to which the driver's driving behavior belongs, and identifying the driver's first behavior detection result based on the warning parameter threshold corresponding to the driving behavior of the target predetermined type.

In one or more possible embodiments, adjusting the warning parameter threshold corresponding to the driver's first behavior detection result includes adjusting the warning parameter threshold corresponding to the target predetermined type of driving behavior, and the driver behavior detection warning threshold adjustment method further includes storing the adjusted warning parameter threshold corresponding to the target predetermined type of driving behavior.

In one or more possible embodiments, the predetermined type of driving behavior includes at least one of a yawning behavior, an eye closing behavior, and a head shaking behavior, the warning parameter threshold corresponding to the yawning behavior includes at least one of a mouth opening width threshold and a yawn duration threshold, the warning parameter threshold corresponding to the eye closing behavior includes at least one of an eye closing width threshold and an eye closing duration threshold, and the warning parameter threshold corresponding to the head shaking behavior includes a head posture swing angle threshold.

According to one aspect of the present disclosure, there is provided a driver behavior detection warning threshold adjustment device including a receiving module that receives false warning feedback information indicating the occurrence of a false warning based on a driver's first behavior detection result, an acquisition module that acquires the driver's first behavior detection result, and an adjustment module that adjusts a warning parameter threshold corresponding to the driver's first behavior detection result based on the false warning feedback information.

In one or more possible embodiments, the adjustment module issues first attention prompting information to prompt a user to adjust a warning parameter threshold corresponding to a first behavior detection result of the driver in response to the false warning feedback information, and adjusts a warning parameter threshold corresponding to a first behavior detection result of the driver in response to receiving a warning parameter threshold adjustment command transmitted from the user in response to the first attention prompting information.

In one or more possible embodiments, the driver behavior detection warning threshold adjustment device further includes an identification module that identifies a behavior type corresponding to the driver's first behavior detection result, and the adjustment module adjusts the warning parameter threshold of the behavior type corresponding to the driver's first behavior detection result.

In one or more possible embodiments, the adjustment module increases or decreases the warning parameter threshold corresponding to the driver's first behavior detection result by a predetermined adjustment step size.

In one or more possible embodiments, the driver behavior detection warning threshold adjustment device further includes an identification module that identifies the type of the false warning, and the type of the false warning includes at least one of a type that falsely warns a first dangerous driving behavior as a second dangerous driving behavior whose behavior type is different from the first dangerous driving behavior, and a type that issues a warning when the dangerous driving behavior does not occur.

In one or more possible embodiments, the system further includes a storage module that acquires first video data that triggers the false warning, the first video data including video data of a predetermined driver behavior, and stores the first video data in a false warning video library.

In one or more possible embodiments, the storage module obtains the first video data within a predetermined period of time before the false alarm feedback information is received, or obtains the first video data transmitted by a user prior to issuing the false alarm feedback information.

In one or more possible embodiments, the adjustment module further acquires second video data including video data of the driver's specified behavior after adjusting the warning parameter threshold corresponding to the first behavior detection result of the driver, detects a driving behavior based on the second video data and the adjusted warning parameter threshold to obtain a second behavior detection result, and adjusts the warning parameter threshold corresponding to the second behavior detection result when false warning feedback information is received for the second behavior detection result.

In one or more possible embodiments, the system further includes a reading module that reads a warning parameter threshold value corresponding to at least one predetermined type of driving behavior, and the acquisition module identifies a target predetermined type to which the driving behavior of the driver belongs, and identifies a first behavior detection result of the driver based on the warning parameter threshold value corresponding to the driving behavior of the target predetermined type.

In one or more possible embodiments, the adjustment module adjusts the warning parameter threshold corresponding to the target predetermined type of driving behavior, and the driver behavior detection warning threshold adjustment device further includes a storage module that stores the adjusted warning parameter threshold corresponding to the target predetermined type of driving behavior.

In one or more possible embodiments, the predetermined type of driving behavior includes at least one of a yawning behavior, an eye closing behavior, and a head shaking behavior, the warning parameter threshold corresponding to the yawning behavior includes at least one of a mouth opening width threshold and a yawn duration threshold, the warning parameter threshold corresponding to the eye closing behavior includes at least one of an eye closing width threshold and an eye closing duration threshold, and the warning parameter threshold corresponding to the head shaking behavior includes a head posture swing angle threshold.

According to one aspect of the present disclosure, there is provided an electronic device including a processor and a memory that stores instructions executable by the processor, the processor being configured to call up the instructions stored in the memory and execute the above-mentioned driver behavior detection warning threshold adjustment method.

According to one aspect of the present disclosure, there is provided a computer-readable storage medium having stored therein computer program instructions, which, when executed by a processor, realizes the above-described method for adjusting a warning threshold for driver behavior detection.

According to one aspect of the present disclosure, there is provided a computer program that includes computer-readable code, and when the computer-readable code runs on an electronic device, causes a processor of the electronic device to execute instructions for implementing the above-described method for adjusting a warning threshold for driver behavior detection.

In an embodiment of the present disclosure, false warning feedback information indicating the occurrence of a false warning based on a first behavior detection result of a driver is received, and then the first behavior detection result of the driver is acquired, and a warning parameter threshold corresponding to the first behavior detection result of the driver can be adjusted according to the false warning feedback information. In this manner, by adjusting the warning parameter threshold, it is possible to improve the detection accuracy of driving behavior, reduce the occurrence of false warnings, and improve the driving experience of the driver.

The above general description and the following detailed description are merely illustrative and interpretive, and are not intended to limit the present disclosure. Other features and aspects of the present disclosure will become clearer by describing the exemplary embodiments in detail below with reference to the drawings.

The drawings incorporated herein as part of this specification are suitable for the embodiments of the present disclosure and are used to explain the technical solutions of the present disclosure together with the specification.
FIG. 1 shows a flowchart of a warning threshold adjustment method for driver behavior detection according to an embodiment of the present disclosure. FIG. 2 illustrates a flowchart of an example of a method for adjusting a warning threshold for driver behavior detection according to an embodiment of the present disclosure. FIG. 3 illustrates a block diagram of a warning threshold adjustment device for driver behavior detection according to an embodiment of the present disclosure. FIG. 4 illustrates a block diagram of an example of an electronic device according to an embodiment of the present disclosure. FIG. 5 illustrates a block diagram of an example of an electronic device according to an embodiment of the present disclosure.

Various exemplary embodiments, features, and aspects of the present disclosure are described in detail below with reference to the drawings. In the drawings, like reference numbers represent functionally identical or similar elements. While various aspects of the embodiments are illustrated in the drawings, the drawings are not necessarily drawn to scale unless otherwise indicated.

The term "exemplary" as used herein means "serving as an example, example, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or superior over other embodiments.

The term "and/or" in this specification describes a related relationship with a related object and indicates that three relationships can exist. For example, A and/or B may indicate three cases: only A exists, both A and B exist, and only B exists. In addition, the term "at least one" in this specification indicates any one of a plurality of elements, or any combination of at least two of a plurality of elements. For example, including at least one of A, B, and C may indicate including any one or more elements selected from the set consisting of A, B, and C.

In addition, in order to better explain the present disclosure, many specific details are shown in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can be similarly implemented without any specific details. In some examples, detailed descriptions of methods, means, elements and circuits that are well known to those skilled in the art are not provided in order to emphasize the gist of the present disclosure.

With this technology, if it detects that the driver is fatigued, making a phone call, drinking water, smoking, or engaging in other risky behavior, a warning can be issued to remind the driver to drive safely. However, false warnings can occur due to factors such as individual differences between drivers, the accuracy of detecting driving behavior, and unreasonable settings of related warning parameter thresholds. In the case of false warnings, feedback is then given to each manufacturer, who typically completes the DMS system, but this makes it difficult to meet the needs of drivers.

The driver behavior detection warning threshold adjustment technique according to the embodiment of the present disclosure can be applied to DMS systems, automated or assisted driving systems, urban traffic, traffic movement, and other situations. For example, if the DMS system falsely warns the driver of a laughing behavior as a fatigue behavior of yawning, the driver can press a false warning button, and the DMS system can improve the occurrence of false warnings in the DMS system and improve the driver's driving experience by increasing the warning parameter threshold of the yawning behavior and classifying the laughing behavior as a normal driving behavior. In some embodiments, the adjusted warning parameter threshold and video data may be stored locally or in the cloud to facilitate future reuse and comparison.

The driver behavior detection warning threshold adjustment method according to the embodiment of the present disclosure may be performed by a terminal device, a server, or other type of electronic device. Here, the terminal device may be a user equipment (UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (PDA), a handheld device, a computing device, an in-vehicle device, or a wearable device. In some possible embodiments, the driver behavior detection warning threshold adjustment method may be realized by a processor invoking computer-readable instructions stored in a memory. Alternatively, the method may be performed by a server.

Figure 1 shows a flowchart of a method for adjusting a warning threshold for driver behavior detection according to an embodiment of the present disclosure. As shown in Figure 1, the method for adjusting a warning threshold for driver behavior detection includes steps S11 to S13.

In step S11, false warning feedback information is received.

In an embodiment of the present disclosure, the electronic device can receive false warning feedback information, and the false warning feedback information can indicate the occurrence of a false warning based on a first behavior detection result of the driver. While the driver is driving the vehicle, first video data collected for the driver is acquired, and the driving behavior of the driver can be detected based on the first video data to obtain a first behavior detection result. The first behavior detection result may include information such as a behavior type of the driving behavior, a behavior parameter, and whether or not it corresponds to a dangerous driving behavior. The dangerous driving behavior may be a behavior that affects safe driving performed by the driver while driving, and for example, yawning behavior, closing eyes behavior, etc. may be determined to correspond to dangerous driving behavior. If the first behavior detection result is a dangerous driving behavior, a warning can be issued. If the warning is a false warning, that is, if there is an error in the warning, the user (e.g., the driver) can feed back the false warning to the electronic device by performing a preset operation. For example, the false warning can be fed back to the electronic device by a predetermined operation of pressing a false warning button. In some embodiments, a user (e.g., a driver) may provide feedback of the false warning to the electronic device by a preset voice, a preset gesture, or the like. This disclosure does not limit the specific method of triggering the false warning feedback information.

In some embodiments, after receiving the false warning feedback information, the type of false warning may be further identified. For example, the false warning feedback information may have information for identifying the type of false warning. The type of false warning can be identified based on the false warning feedback information. The type of false warning can be predefined according to a specific situation, such as an error in the warning content or an error in the warning time. As a selectable form, the type of false warning may include at least one of a type of falsely warning the first dangerous driving behavior as a second dangerous driving behavior whose behavior type is different from the first dangerous driving behavior, and a type of issuing a warning when the dangerous driving behavior does not occur. For example, a behavior of closing the eyes (first dangerous driving behavior) is falsely warned as a behavior of yawning (second dangerous driving behavior). Or, a warning is issued in the case of normal driving of the driver (i.e., a warning is issued when the dangerous driving behavior does not occur). The dangerous driving behavior includes, but is not limited to, one or more of a behavior of closing the eyes, a behavior of yawning, a behavior of smoking, a behavior of drinking water, and a behavior of making a phone call. By identifying the type of false warning, it is possible to further analyze the type of false warning and provide useful information for improving the warning function of driver behavior detection.

In step S12, the first behavior detection result of the driver is obtained.

In an embodiment of the present disclosure, after receiving the false warning feedback information, a first behavior detection result of the driver may be obtained. For example, the false warning that occurred may be identified based on a time of receiving the false warning feedback information. For example, the most recent warning issued before the time of receiving the false warning feedback information may be identified as the false warning that occurred. Then, based on the false warning, a first behavior detection result of the driver that triggered the false warning may be obtained. The first behavior detection result may be obtained by performing behavior detection based on video data of the driver before issuing the false warning. In some embodiments, the warning of the dangerous driving behavior may have a behavior detection result of the dangerous driving behavior. Correspondingly, after identifying the false warning that triggered the false warning feedback information, a first behavior detection result of the driver may be extracted from the false warning feedback information. In some embodiments, after detecting that the driver has a dangerous driving behavior, a behavior detection result and a warning of the driver may be recorded. Correspondingly, after identifying the false warning that triggered the false warning feedback information, a first behavior detection result recorded together with the false warning may be obtained from the stored record.

In step S13, the warning parameter threshold corresponding to the driver's first behavior detection result is adjusted based on the false warning feedback information.

In the embodiment of the present disclosure, the risky driving behavior may correspond to one or more warning parameter thresholds. When it is detected that a behavior parameter of a certain driving behavior of the driver has reached the corresponding warning parameter threshold, the driving behavior of the driver can be determined to be a risky driving behavior, and a warning is issued. The behavior parameter may be a parameter representing the driving behavior. For example, the behavior parameter of the yawning behavior may include at least one of a mouth opening width and a yawning duration, the behavior parameter of the eye closing behavior may include at least one of an eye closing width and an eye closing duration, and the behavior parameter of the head shaking behavior may include a head posture shaking angle. Here, since the false warning feedback information indicates the occurrence of a false warning based on the first behavior detection result of the driver, it can be determined that the setting of the warning parameter threshold corresponding to the first behavior detection result is not sufficiently reasonable, and therefore the warning parameter threshold corresponding to the first behavior detection result can be adjusted. For example, the warning parameter threshold corresponding to the first behavior detection result is increased or decreased.
Here, the mouth opening width may be a value of the ratio of the mouth height to the width. The yawning duration may be a duration during which the mouth opening width reaches a mouth opening width threshold. The eye closing width may be a value of the ratio of the eye height to the width. The eye closing duration may be an integrated duration during which the eye closing width in one statistical period is smaller than the eye closing width threshold. The head pose swing angle may include at least one of a yaw angle, a pitch angle, and a roll angle.

In some embodiments, in response to the false warning feedback information, a first attention-calling information is issued to prompt the user to adjust the warning parameter threshold corresponding to the first behavior detection result of the driver. The output form of the first attention-calling information may include a plurality of forms such as a voice attention-calling, a screen output, etc. For example, in response to the false warning feedback information, the electronic device may call the user to adjust the warning parameter threshold corresponding to the first behavior detection result in the form of a voice attention-calling, or the electronic device may pop up the first attention-calling information on the screen, or may directly display a setting page for the warning parameter threshold on the screen. The user may adjust the warning parameter threshold corresponding to the first behavior detection result in response to the first attention-calling information. For example, the user may issue a warning parameter threshold adjustment command to the electronic device by voice, or may issue a warning parameter threshold adjustment command to the electronic device by manually correcting the warning parameter threshold corresponding to the first behavior detection result on the setting page of the screen. The electronic device adjusts the warning parameter threshold corresponding to the first behavior detection result of the driver in response to receiving the warning parameter threshold adjustment command transmitted from the user based on the first attention-calling information. In this way, the warning parameter threshold corresponding to the first behavior detection result can be adjusted according to the user's needs, and the user's needs for flexible setting of the warning parameter threshold can be met. Here, the user and the driver may be the same person. In this way, when a false warning occurs, the driver can adjust the warning parameter threshold in a timely manner. In some embodiments, the user and the driver may be different people. For example, the user may have the right to adjust the warning parameter threshold. In this way, the driver can realize timely adjustment of the warning parameter threshold without modifying the warning parameter threshold by himself, and can improve the stability of driving.

In some embodiments, a behavior type corresponding to the driver's first behavior detection result may be further identified. When adjusting the warning parameter threshold corresponding to the driver's first behavior detection result, the warning parameter threshold of the behavior type corresponding to the driver's first behavior detection result may be adjusted.

In an embodiment of the present disclosure, the driving behavior of the driver may include a plurality of behavior types. The electronic device may issue a warning for a predetermined type of driving behavior. The predetermined type of driving behavior may be dangerous driving behavior. Here, the corresponding warning parameter threshold may be different depending on the behavior type of the driving behavior. In this way, when the above-mentioned false warning feedback information is received, first, the behavior type corresponding to the first behavior detection result of the driver may be identified, and then the warning parameter threshold of the behavior type corresponding to the first detection result of the driver may be adjusted. In this way, automatic adjustment of the warning parameter threshold can be realized, and pinpoint adjustment can be made to the warning parameter threshold of a specific behavior type, thereby improving the accuracy of the adjustment of the warning parameter threshold.

In one example, the predetermined type of driving behavior includes at least one of a yawning behavior, an eye closing behavior, and a head shaking behavior. Here, the warning parameter threshold corresponding to the yawning behavior includes at least one of a mouth opening width threshold and a yawn duration threshold. The warning parameter threshold corresponding to the eye closing behavior includes at least one of an eye closing width and an eye closing duration threshold. The warning parameter threshold corresponding to the head shaking behavior includes a head posture shaking angle threshold.

In some embodiments, when adjusting the warning parameter threshold corresponding to the driver's first behavior detection result, the warning parameter threshold corresponding to the driver's first behavior detection result may be increased or decreased by a predetermined adjustment step width.
Here, the predetermined adjustment step width can be set according to the actual application scene, so the present disclosure does not limit this. In some embodiments, a corresponding adjustment step width can be set for the warning parameter threshold for each behavior type. For example, when the first behavior detection result includes a yawning behavior and the warning parameter threshold is a mouth opening width threshold, the adjustment step width of the mouth opening width threshold may be set to a value of 0.1, 0.2, etc. When the warning parameter threshold is a yawning duration threshold, the adjustment step width of the yawning duration threshold may be set to a value of 0.5s, 1s, etc. By increasing or decreasing the warning parameter threshold corresponding to the driver's first behavior detection result by a predetermined adjustment step width, the warning parameter threshold after adjustment does not become too large or too small, and the adjustment width of the warning parameter threshold can be set within a reasonable range, thereby realizing accurate adjustment.

In the embodiment of the present disclosure, when a false warning about a driving behavior occurs, the occurrence of a false warning can be reduced by adjusting the warning parameter threshold corresponding to the driving behavior. In some embodiments, after receiving the false warning feedback information, the first video data that triggered the false warning may be further acquired. For example, based on the false warning warning time, video data within a predetermined period including the false warning warning time may be cut out as the first video data. For example, video data 10 s before and after the warning time is cut out to be the first video data including video data of the driver's predetermined behavior. The first video data is then stored in the false warning video library. Alternatively, the first video data within a predetermined period before the false warning feedback information is received may be acquired. Furthermore, the first video data transmitted by the user before issuing the false warning feedback information may be acquired. For example, in an actual scene, when playing back the recording information that triggered the warning, the user selects one video clip from the recording and uploads it as the first video data that triggered the false warning. By acquiring the data selected and uploaded by the user, the video data of the driver at the time of the occurrence of the false warning can be more accurately identified. In this manner, the first video data that triggered the false alarm can be stored and used for future analysis of the false alarm or recheck of the alarm result. Here, the false alarm video library may be in a local storage device. In some embodiments, the false alarm video library may be in a cloud server, and the present disclosure is not limited in this respect. The predetermined behavior may be any behavior performed by the driver.

In some embodiments, the second video data may be acquired after adjusting the warning parameter threshold corresponding to the first behavior detection result of the driver. The second video data may include video data of the predetermined behavior of the driver. That is, after adjusting the warning parameter threshold corresponding to the first behavior detection result of the driver, the driver may repeatedly perform the predetermined behavior, and the electronic device may acquire second video data of the predetermined behavior repeatedly performed by the driver. Based on the second video data and the adjusted warning parameter threshold, the driving behavior may be detected to obtain a second behavior detection result. The second behavior detection result may include information such as the behavior type of the driving behavior, behavior parameters, and whether or not it corresponds to a dangerous driving behavior. If the second behavior detection result is a dangerous driving behavior, a warning may be issued. When false warning feedback information for the second behavior detection result is received, if the driver performs the predetermined behavior again, the issued warning is still considered to be a false warning, so the warning parameter threshold corresponding to the second behavior detection result may be further adjusted until a false warning is not issued when the driver performs the same predetermined behavior again. In this way, the warning parameter threshold can be continuously adjusted to meet the needs of the user.

In the above step S11, the false warning feedback information may be received. In some embodiments, after receiving the false warning feedback information, the warning parameter threshold corresponding to at least one predetermined type of driving behavior may be read. For example, the warning parameter threshold corresponding to at least one predetermined type of driving behavior may be read in a local storage device. The warning parameter threshold corresponding to at least one predetermined type of driving behavior may be stored in the local storage device after the previous adjustment. Alternatively, the warning parameter threshold corresponding to at least one predetermined type of driving behavior may be read from the threshold setting information transmitted from the cloud server. The electronic device uploads the facial image collected for the driver's face to the cloud server. The cloud server may identify the driver's facial image, and based on the identification result, search for the stored warning parameter threshold corresponding to at least one predetermined type of driving behavior of the driver, and then transmit the warning parameter threshold corresponding to at least one predetermined type of driving behavior to the electronic device by including it in the threshold setting information.

Furthermore, when obtaining the first behavior detection result of the driver, first, a target predetermined type, which is a predetermined type to which the driving behavior of the driver belongs, may be identified, and then the first behavior detection result of the driver may be identified based on a warning parameter threshold corresponding to the driving behavior of the target predetermined type. For example, the driving behavior of the driver may be detected based on the first video data using a driving behavior identification algorithm or a trained driver behavior detection neural network, etc., and a target predetermined type, which is a predetermined type to which the driving behavior of the driver belongs, may be identified, and then, by comparing the behavior parameters of the driver's driving behavior with the warning parameter threshold corresponding to the driving behavior of the target predetermined type, it is possible to determine whether the driving behavior of the driver is a dangerous driving behavior and obtain the first behavior detection result. In this way, when false warning feedback information is received, the warning parameter threshold corresponding to at least one previously adjusted predetermined type of driving behavior may be read, and personalized setting of the warning parameter threshold may be realized.

In some embodiments, the warning parameter threshold corresponding to the target predetermined type of driving behavior may be further adjusted, and then the adjusted warning parameter threshold corresponding to the target predetermined type of driving behavior may be stored. For example, the adjusted warning parameter threshold corresponding to the target predetermined type of driving behavior may be stored in a local storage device, or the adjusted warning parameter threshold corresponding to the target predetermined type of driving behavior may be uploaded to a cloud server, so that the stored warning parameter threshold can be recalled when a false warning for the target predetermined type of driving behavior reoccurs in the future, thereby reducing the reoccurrence of false warnings.

The technology according to the embodiment of the present disclosure uses a warning parameter threshold adjustment mechanism to modify and record warning parameter thresholds when false warnings occur, reducing the occurrence of false warnings. At the same time, the video data that triggered the false warning is stored, facilitating further optimization in the future and reducing the time, cost, and effort required for developers to collect training data.

Below, an example of a driver behavior detection warning threshold adjustment technique according to an embodiment of the present disclosure will be described. FIG. 2 shows a flowchart of an example of a driver behavior detection warning threshold adjustment method according to an embodiment of the present disclosure.

In S21, first video data showing the driver laughing loudly is acquired.
Here, the DMS camera can be installed in one or more areas of the vehicle, such as the A-pillar, instrument panel, center console, etc., ensuring that the camera can accurately identify the driver's facial information and driving behavior without being blocked by obstacles such as the steering wheel or affected by reflected light.

In S22, the driving behavior is detected from the first video data to obtain a first behavior detection result of the driver, and since the first behavior detection result is the dangerous driving behavior of yawning, a warning is issued.

In S23, false warning feedback information is received indicating the occurrence of a false warning based on the first behavior detection result.

At S24, the first video data is stored in a false alarm video library.

In S25, the warning parameter threshold corresponding to the yawning behavior is adjusted according to the false warning feedback information.

In S26, second video data is acquired showing the driver laughing out loud.

In S27, it is determined whether a false warning occurs based on the second behavior detection result for the second video data. If a false warning occurs based on the second behavior detection result for the second video data, the process returns to S25, but if not, S28 is executed.

At S28, the adjusted warning parameter threshold corresponding to the yawning behavior is recorded and stored.

It should also be understood that in the above exemplary flowchart, after each adjustment of the warning parameter threshold, the adjusted warning parameter threshold is stored in a cache, and if the same false warning still occurs based on the adjusted warning parameter threshold, the adjusted warning parameter threshold can be further adjusted. The above-mentioned adjustment of the warning parameter threshold is repeated until no warning is issued for the same type of driver behavior, and the adjusted warning parameter threshold is stored in memory for a long term.

It should be understood that the above method embodiments mentioned in this disclosure can be combined with each other to form embodiments as long as the principles and logic are not violated. Due to space limitations, detailed descriptions are omitted in this disclosure. Those skilled in the art should understand that in the above method according to the specific embodiment, the execution order of each step is specifically determined by its function and internal logic.

The present disclosure further provides a driver behavior detection warning threshold adjustment device, electronic device, computer-readable storage medium, and program. Any of these can be used to realize any one of the driver behavior detection warning threshold adjustment methods according to the present disclosure. For the corresponding technical means and explanations, refer to the corresponding description of the method, and detailed explanations will be omitted.

3 shows a block diagram of a warning threshold adjustment device for driver behavior detection according to an embodiment of the present disclosure. As shown in FIG. 3, the device includes:
a receiving module 31 for receiving false warning feedback information indicating the occurrence of a false warning based on a first behavior detection result of a driver;
an acquisition module 32 for acquiring a first behavior detection result of the driver;
and an adjustment module 33 for adjusting a warning parameter threshold corresponding to a first behavior detection result of the driver based on the false warning feedback information.

In some embodiments, the adjustment module 33 issues first warning information prompting a user to adjust a warning parameter threshold corresponding to the first behavior detection result of the driver in response to the false warning feedback information, and adjusts the warning parameter threshold corresponding to the first behavior detection result of the driver in response to receiving a warning parameter threshold adjustment command transmitted from the user in response to the first warning information.

In some embodiments, the device further includes an identification module that identifies a behavior type corresponding to the first behavior detection result of the driver, and the adjustment module adjusts the warning parameter threshold of the behavior type corresponding to the first behavior detection result of the driver.

In some embodiments, the adjustment module 33 increases or decreases the warning parameter threshold corresponding to the driver's first behavior detection result by a predetermined adjustment step size.

In some embodiments, the device further includes an identification module that identifies the type of the false alarm, and the type of the false alarm includes at least one of a type that falsely indicates a first risky driving behavior as a second risky driving behavior having a behavior type different from the first risky driving behavior, and a type that issues a warning when the risky driving behavior does not occur.

In some embodiments, the system further includes a storage module that obtains first video data that triggers the false warning, the first video data including video data of a predetermined driver behavior, and stores the first video data in a false warning video library.

In some embodiments, the storage module obtains the first video data within a predetermined period of time before the false alarm feedback information is received, or obtains the first video data transmitted by a user prior to issuing the false alarm feedback information.

In some embodiments, the adjustment module 33 further adjusts the warning parameter threshold corresponding to the first behavior detection result of the driver, acquires second video data including video data of the specified behavior of the driver, detects the driving behavior based on the second video data and the adjusted warning parameter threshold to obtain a second behavior detection result, and adjusts the warning parameter threshold corresponding to the second behavior detection result when false warning feedback information regarding the second behavior detection result is received.

In some embodiments, the system further includes a reading module that reads a warning parameter threshold value corresponding to at least one predetermined type of driving behavior, and the acquisition module 32 identifies a target predetermined type to which the driving behavior of the driver belongs, and identifies a first behavior detection result of the driver based on the warning parameter threshold value corresponding to the driving behavior of the target predetermined type.

In some embodiments, the adjustment module 33 adjusts the warning parameter threshold corresponding to the target predetermined type of driving behavior, and the device further includes a storage module that stores the adjusted warning parameter threshold corresponding to the target predetermined type of driving behavior.

In some embodiments, the predetermined type of driving behavior includes at least one of a yawning behavior, an eye closing behavior, and a head shaking behavior, the warning parameter threshold corresponding to the yawning behavior includes at least one of a mouth opening width threshold and a yawn duration threshold, the warning parameter threshold corresponding to the eye closing behavior includes at least one of an eye closing width threshold and an eye closing duration threshold, and the warning parameter threshold corresponding to the head shaking behavior includes a head posture shaking angle threshold.

In some embodiments, the functions or modules of the apparatus according to the embodiments of the present disclosure can be utilized to perform the methods described in the above method embodiments, and for specific implementations thereof, reference may be made to the description of the above method embodiments, and detailed description thereof will be omitted here for brevity.

An embodiment of the present disclosure further provides a computer-readable storage medium having computer program instructions stored thereon, the computer-readable storage medium implementing the above method when executed by a processor. The computer-readable storage medium may be a non-volatile computer-readable storage medium.

An embodiment of the present disclosure further provides an electronic device including a processor and a memory that stores instructions executable by the processor, the processor being configured to execute the method by calling the instructions stored in the memory.

An embodiment of the present disclosure further provides a computer program product including computer readable code that, when executed in a device, causes a processor of the device to execute instructions for implementing a method for adjusting a warning threshold for driver behavior detection according to any of the above embodiments.

An embodiment of the present disclosure further provides another computer program product, which is a computer program having computer-readable instructions stored therein, the instructions being executed to cause a computer to perform operations of the driver behavior detection warning threshold adjustment method according to any of the above embodiments.

An embodiment of the present disclosure further provides a computer program that includes computer-readable code, the computer-readable code operating in an electronic device causing a processor of the electronic device to execute instructions for implementing the above-described method for adjusting a warning threshold for driver behavior detection.

The electronic device may be provided as a terminal, a server or other form of device.

FIG. 4 shows a block diagram of an electronic device 800 according to an embodiment of the present disclosure. For example, the electronic device 800 may be a terminal such as a mobile phone, a computer, a digital broadcasting terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, or a personal digital assistant.

With reference to FIG. 4, electronic device 800 may include one or more of a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814, and a communication component 816.

The processing component 802 typically controls the overall operation of the electronic device 800, such as operations related to display, phone calls, data communication, camera operation, and recording operation. The processing component 802 may include one or more processors 820 that execute instructions to perform all or some of the steps of the above methods. The processing component 802 may also include one or more modules for interaction with other components. For example, the processing component 802 may include a multimedia module for interaction with the multimedia component 808.

Memory 804 is configured to store various types of data to support operation on electronic device 800. These data include, by way of example, instructions for any application programs or methods operating on electronic device 800, contact data, phone book data, messages, pictures, videos, etc. Memory 804 can be implemented by various types of volatile or non-volatile storage devices, such as, for example, static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks, or combinations thereof.

The power component 806 provides power to each component of the electronic device 800. The power component 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the electronic device 800.

The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and a user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). When the screen includes a touch panel, it may be implemented as a touch screen that receives input signals from a user. The touch panel may include one or more touch sensors to detect touches, slides, and gestures on the touch panel. The touch sensors may detect not only the boundaries of a touch or slide behavior, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. When the electronic device 800 is in an operational mode, such as a photography mode or a capture mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may have a fixed optical lens system or a focal length and optical zoom capability.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a record mode, and a voice recognition mode. The received audio signals may be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, the audio component 810 further includes a speaker for outputting the audio signals.

The I/O interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, a click wheel, buttons, etc. These buttons may include, but are not limited to, a home button, volume buttons, a start button, and a lock button.

The sensor component 814 includes one or more sensors for evaluating the state of each aspect of the electronic device 800. For example, the sensor component 814 can detect the on/off state of the electronic device 800, the relative positioning of components such as the display and keypad of the electronic device 800, and the sensor component 814 can further detect changes in the position of the electronic device 800 or certain components of the electronic device 800, the presence or absence of contact between the user and the electronic device 800, the orientation or acceleration or deceleration of the electronic device 800, and temperature changes of the electronic device 800. The sensor component 814 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor component 814 may further include an optical sensor for use in imaging applications, such as a complementary metal oxide semiconductor (CMOS) or charge-coupled device (CCD) image sensor. In some embodiments, the sensor component 814 may further include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 816 is configured to realize wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 can access a wireless network based on a communication standard, such as a wireless network (WiFi), a second generation mobile communication technology (2G), or a third generation mobile communication technology (3G), or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be realized by radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the electronic device 800 may be implemented with one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processors (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic elements and may be used to perform the above method.

In an exemplary embodiment, a non-volatile computer readable storage medium, such as a memory 804, is further provided that includes computer program instructions that, when executed by the processor 820 of the electronic device 800, can cause the method to be performed.

FIG. 5 illustrates a block diagram of an electronic device 1900 according to an embodiment of the present disclosure. For example, the electronic device 1900 may be provided as a server. Referring to FIG. 5, the electronic device 1900 includes a processing component 1922 including one or more processors, and a memory resource, represented by a memory 1932, for storing instructions executable by the processing component 1922, such as an application program. The application program stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. The processing component 1922 is also configured to perform the above method by executing the instructions.

The electronic device 1900 may further include a power component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input/output (I/O) interface 1958. The electronic device 1900 can operate based on an operating system stored in memory 1932, such as a Microsoft server operating system (Windows Server ^™ ), a graphical user interface operating system from Apple (Mac OS X ^™ ), a multi-user, multi-process computer operating system (Unix ^™ ), a free and open source Unix-like operating system (Linux ^™ ), an open source code Unix-like operating system (FreeBSD ^™ ), or the like.

In an exemplary embodiment, a non-volatile computer readable storage medium, such as memory 1932, is further provided that includes computer program instructions that, when executed by processing component 1922 of electronic device 1900, can cause the method described above to be performed.

The present disclosure may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions for causing a processor to implement aspects of the present disclosure.

A computer readable storage medium may be a tangible device capable of storing and storing instructions for use in an instruction execution device. A computer readable storage medium may be, for example, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. Further specific examples (non-exhaustive list) of computer readable storage media include portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disk read only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, mechanically encoded devices such as punch cards or slot-in protrusion structures on which instructions are stored, and any suitable combination of the above. As used herein, a computer readable storage medium is not to be construed as a momentary signal itself, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagated via a waveguide or other transmission medium (e.g., pulsed light passing through a fiber optic cable), or electrical signals transmitted via electrical wires.

The computer readable program instructions described herein may be downloaded from a computer readable storage medium into each computing/processing device, or may be downloaded to an external computer or external storage device over a network, such as the Internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and/or edge servers. A network adapter card or network interface within each computing/processing device receives the computer readable program instructions from the network and transfers the computer readable program instructions for storage in a computer readable storage medium within each computing/processing device.

Computer program instructions for carrying out the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine language instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source or target code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk, C++, and general procedural programming languages such as "C" or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. When a remote computer is involved, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet Service Provider). In some embodiments, the state information of the computer-readable program instructions may be used to personalize electronic circuitry, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), to execute the computer-readable program instructions to achieve aspects of the present disclosure.

Although aspects of the present disclosure have been described herein with reference to flowcharts and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present disclosure, it should be understood that each block of the flowcharts and/or block diagrams, and combinations of blocks in the flowcharts and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing device, such that when these instructions are executed by the processor of the computer or other programmable data processing device, an apparatus is produced that implements the functions/behavior specified in one or more blocks of the flowcharts and/or block diagrams. These computer-readable program instructions may be stored on a computer-readable storage medium to cause a computer, programmable data processing device, and/or other device to operate in a particular manner. Thus, a computer-readable storage medium having instructions stored thereon includes an article of manufacture having instructions that implement each aspect of the functions/behavior specified in one or more blocks of the flowcharts and/or block diagrams.

The computer-readable program instructions may be loaded into a computer, other programmable data processing device, or other device, and cause the computer, other programmable data processing device, or other device to perform a series of operational steps to produce a computer-implemented process. In this manner, the instructions executed on the computer, other programmable data processing device, or other device implement the functions/behavior specified in one or more blocks of the flowcharts and/or block diagrams.

The flowcharts and block diagrams in the drawings illustrate possible system architectures, functions, and operations of systems, methods, and computer program products according to several embodiments of the present disclosure. In this regard, each block in the flowcharts or block diagrams may represent a module, program segment, or part of instructions, which includes one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions depicted in the blocks may be implemented out of the order depicted in the drawings. For example, two consecutive blocks may be executed substantially in parallel, or may be executed in reverse order depending on the function. It should also be noted that each block in the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts, may be implemented by a dedicated system based on hardware that executes the specified function or behavior, or may be implemented by a combination of dedicated hardware and computer instructions.

The computer program product may be embodied in hardware, software, or a combination thereof. In one alternative embodiment, the computer program product is embodied as a computer storage medium. In another alternative embodiment, the computer program product is embodied as a software product, such as a software development kit (SDK).

Although the embodiments of the present disclosure have been described above, the above description is merely illustrative and not exhaustive, and is not limited to the embodiments disclosed. Various modifications and alterations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terms chosen in this specification are intended to favorably interpret the principles, practical applications, or improvements to existing technology of the embodiments, or to allow other skilled in the art to understand the embodiments disclosed herein.

Claims (14)

receiving false warning feedback information indicating an occurrence of a false warning based on a first behavior detection result of a driver;
Obtaining a first behavior detection result of the driver;
Adjusting a warning parameter threshold corresponding to a first driver behavior detection result based on the false warning feedback information;
Including,
The method further includes identifying a behavior type corresponding to a first behavior detection result of the driver;
The above-mentioned adjusting the warning parameter threshold corresponding to the first behavior detection result of the driver includes:
A method for adjusting a warning threshold for driver behavior detection, comprising adjusting a warning parameter threshold for a behavior type corresponding to a first behavior detection result of a driver, the corresponding warning parameter threshold differing depending on the behavior type . The above-mentioned, adjusting the warning parameter threshold corresponding to the first behavior detection result of the driver based on the false warning feedback information,
issuing first attention calling information to prompt a user to adjust a warning parameter threshold corresponding to a first behavior detection result of the driver in response to the false warning feedback information;
adjusting a warning parameter threshold corresponding to a first behavior detection result of the driver in response to receiving a warning parameter threshold adjustment command transmitted from a user in response to the first attention calling information;
The method for adjusting a warning threshold value for driver behavior detection according to claim 1, further comprising: The above-mentioned adjusting the warning parameter threshold corresponding to the first behavior detection result of the driver includes:
3. The method for adjusting a warning threshold for detecting a driver's behavior according to claim 1, further comprising increasing or decreasing a warning parameter threshold corresponding to a result of the first detection of the driver's behavior by a predetermined adjustment step width. and identifying a type of the false alarm.
The type of the false alarm is:
A type in which a first risky driving behavior is erroneously warned as a second risky driving behavior having a different behavior type from the first risky driving behavior;
A type that issues a warning if the dangerous driving behavior does not occur;
3. The method for adjusting a warning threshold value for driver behavior detection according to claim 1 , further comprising: After receiving the false alarm feedback information, further
Obtaining a first video data including video data of a predetermined behavior of a driver, the first video data triggering the false warning;
storing the first video data in a false alarm video library;
3. The method for adjusting a warning threshold value for driver behavior detection according to claim 1 , further comprising: The acquiring of the first video data that triggered the false alarm includes:
Obtaining the first video data within a predetermined period before the false alarm feedback information is received; or
The method for adjusting a warning threshold for detecting a driver's behavior according to claim 5 , further comprising obtaining the first video data transmitted before a user issues the false warning feedback information. After adjusting the warning parameter threshold corresponding to the first behavior detection result of the driver,
acquiring second video data including video data of the predetermined behavior of a driver;
Detecting a driving behavior based on the second video data and the adjusted warning parameter threshold to obtain a second behavior detection result.
adjusting a warning parameter threshold corresponding to the second behavior detection result when receiving false warning feedback information for the second behavior detection result;
The method for adjusting a warning threshold value for driver behavior detection according to claim 5 , further comprising: reading a warning parameter threshold corresponding to at least one predetermined type of driving behavior;
The acquiring of the first behavior detection result of the driver includes:
Identifying a target predetermined type to which the driving behavior of the driver belongs;
The method for adjusting a warning threshold for driver behavior detection according to claim 1 or 2 , further comprising: identifying a first behavior detection result of the driver based on a warning parameter threshold corresponding to the target predetermined type of driving behavior. The above-mentioned adjusting the warning parameter threshold corresponding to the first behavior detection result of the driver includes:
adjusting warning parameter thresholds corresponding to the target predetermined type of driving behavior;
The method for adjusting a warning threshold value for detecting a driver's behavior includes:
The method of claim 8, further comprising: storing the adjusted warning parameter threshold corresponding to the target predetermined type of driving behavior. The predetermined type of driving behavior includes at least one of a yawning behavior, an eye closing behavior, and a head shaking behavior,
The warning parameter threshold corresponding to the yawning behavior includes at least one of a mouth opening width threshold and a yawning duration threshold;
The warning parameter threshold corresponding to the eye-closing behavior includes at least one of an eye-closing width threshold and an eye-closing duration threshold,
The method for adjusting a warning threshold for driver behavior detection according to claim 8 , wherein the warning parameter threshold corresponding to the head shaking behavior includes a head posture shaking angle threshold. a receiving module that receives false warning feedback information indicating an occurrence of a false warning based on a first behavior detection result of the driver;
an acquisition module for acquiring a first behavior detection result of the driver;
an adjustment module for adjusting a warning parameter threshold corresponding to a first behavior detection result of a driver based on the false warning feedback information;
Equipped with
The vehicle control system further includes an identification module that identifies a behavior type corresponding to the first behavior detection result of the driver,
The adjustment of the warning parameter threshold corresponding to the first behavior detection result of the driver by the adjustment module includes:
A warning threshold adjustment device for driver behavior detection, characterized in that the adjustment module includes adjusting a warning parameter threshold for a behavior type corresponding to a first behavior detection result of the driver, and the corresponding warning parameter threshold differs depending on the behavior type . A processor;
a memory for storing instructions executable by a processor;
The electronic device, characterized in that the processor is configured to call instructions stored in the memory and execute the method for adjusting a warning threshold for driver behavior detection according to any one of claims 1 to 10 . A computer-readable storage medium having computer program instructions stored therein, the computer-readable storage medium being characterized in that, when the computer program instructions are executed by a processor, the computer-readable storage medium realizes the method for adjusting a warning threshold for driver behavior detection according to any one of claims 1 to 10 . A computer program comprising computer-readable code, the computer-readable code, when executed in an electronic device, causing a processor of the electronic device to execute instructions for implementing the method for adjusting a warning threshold for driver behavior detection according to any one of claims 1 to 10 .