JP7094728B2 - Electronic devices, event detection methods and programs - Google Patents

Description

Embodiments of the present invention relate to electronic devices, event detection methods and programs.

In recent years, electronic devices such as drive recorders that can be attached to vehicles have been developed.

In such electronic devices, for example, an event (for example, an accident) that occurs in a vehicle is detected based on a physical quantity (sensor data) measured by a sensor, but the event is erroneous. There is a need for a mechanism to suppress detection.

Japanese Unexamined Patent Publication No. 2013-164869

Therefore, an object to be solved by the present invention is to provide an electronic device, an event detection method, and a program capable of suppressing false detection of an event occurring in a vehicle.

According to the embodiment, an electronic device attached to a vehicle is provided. The electronic device includes a first sensor, a second sensor, and a detection means. The first sensor measures a first physical quantity including an acceleration generated with respect to the vehicle. The second sensor measures a second physical quantity including an angular velocity generated with respect to the vehicle or an acceleration generated in a second direction different from the first direction in which the acceleration is generated . The detection means extracts the first maximum value from the first physical quantity measured by the first sensor for a certain period of time, extracts the second maximum value from the second physical quantity measured by the second sensor for a certain period of time, and describes the above. Regarding the relationship between the first maximum value, the second maximum value, and the first time when the first maximum value is measured by the first sensor and the second time when the second maximum value is measured by the second sensor. Based on this, an event that has occurred in the vehicle is detected.

The figure which shows an example of the usage mode of the electronic device which concerns on embodiment. The figure which shows an example of the system configuration of an electronic device. A block diagram showing an example of the functional configuration of an electronic device. A flowchart showing an example of a processing procedure of an electronic device. The flowchart which shows an example of the processing procedure of sensor data processing. A flowchart showing an example of the processing procedure of the event detection processing. A flowchart showing another example of the processing procedure of the event detection process.

Hereinafter, embodiments will be described with reference to the drawings.

FIG. 1 is a diagram showing an example of a usage mode of an electronic device according to the present embodiment. As shown in FIG. 1, the electronic device 10 can be realized as a drive recorder or the like attached to and used in a vehicle 1 such as an automobile.

In the present embodiment, the electronic device 10 will be described as a drive recorder, but the electronic device 10 may be a device attached to the vehicle 1, for example, a device incorporated in a car navigation system or a cigar of an automobile. It may be realized as a device that operates by being inserted into a socket or other in-vehicle device. Further, the electronic device 10 may be a smartphone, a tablet terminal, or the like fixed to a holder attached to the vehicle.

The electronic device 10 according to the present embodiment has a function of detecting various events (events) that occur in the vehicle 1 to which the electronic device 10 is attached, in addition to the function of a normal drive recorder. In the present embodiment, the electronic device 10 detects, for example, that the vehicle 1 has caused an accident as an event.

FIG. 2 shows an example of the system configuration of the electronic device 10 shown in FIG. In FIG. 2, it is assumed that the electronic device 10 is a drive recorder.

As shown in FIG. 2, the electronic device 10 includes a CPU 11, a non-volatile memory 12, a main memory 13, a camera 14, a liquid crystal display (LCD) 15, a first sensor 16, a second sensor 17, and wireless communication. A device 18 and the like are provided.

The CPU 11 is a processor configured to control the operation of each component of the electronic device 10. The CPU 11 executes various programs loaded from the non-volatile memory 12 into the main memory 13, for example. The program executed by the CPU 11 includes, for example, an operating system and a program for detecting the above-mentioned event (hereinafter referred to as an event detection program).

The camera 14 includes, for example, a CCD-type or MOS-type image sensor that captures an image of the front of the driver's seat of the vehicle 1. The camera 14 constantly captures an image while the power of the electronic device 10 is turned on. The image taken by the camera 14 is stored in, for example, a non-volatile memory 12. The camera 14 can capture not only moving images but also still images.

The LCD 15 is a display device capable of displaying, for example, an image taken by a camera 14.

The first sensor 16 and the second sensor 17 are used to detect the event that occurs in the vehicle 1 described above. The first sensor 16 measures the first physical quantity generated for the vehicle 1 and outputs sensor data representing the first physical quantity. The second sensor 17 measures the second physical quantity generated for the vehicle 1 and outputs sensor data representing the second physical quantity. It is assumed that the first physical quantity measured by the first sensor 16 and the second physical quantity measured by the second sensor 17 are different physical quantities.

The first sensor 16 and the second sensor 17 measure, for example, an acceleration sensor capable of measuring the acceleration generated with respect to the vehicle 1, a gyro sensor capable of measuring the angular speed generated with respect to the vehicle 1, and the position of the vehicle 1. A GNSS (Global Navigation Satellite System) sensor, a GPS (Global Positioning System) sensor, or the like can be used.

The wireless communication device 18 is a device configured to execute wireless communication with an external device (for example, a server device or the like) via a network.

The electronic device 10 according to the present embodiment includes a memory card interface (I / F) 19, and is configured so that the memory card 20 can be inserted. The memory card 20 inserted via the memory card interface 19 can store, for example, an image (an image taken by the camera 14) stored in the non-volatile memory 12. If the memory card 20 is inserted into another electronic device, the image taken by the camera 14 can be displayed on the other electronic device or the like.

FIG. 3 is a block diagram showing an example of the functional configuration of the electronic device 10 according to the present embodiment. Here, the functional configuration for detecting the event generated in the vehicle 1 described above will be mainly described.

As shown in FIG. 3, the electronic device 10 includes a data acquisition unit 101, a data processing unit 102, an event detection unit 103, and an event processing unit 104.

In the present embodiment, a part or all of each part 101 to 104 is realized by causing the CPU 11 described above to execute the event detection program, that is, by software. A part or all of each part 101 to 104 may be realized by hardware such as an IC (Integrated Circuit), or may be realized as a combination of software and hardware.

The data acquisition unit 101 acquires sensor data (hereinafter referred to as first sensor data) output from the first sensor 16. Similarly, the data acquisition unit 101 acquires the sensor data output from the second sensor 17 (hereinafter referred to as the second sensor data).

When the data acquisition unit 101 acquires the first sensor data and the second sensor data, the data acquisition unit 101 assigns an occurrence time to each of the sensor data. The occurrence time given to the sensor data corresponds to the time when the physical quantity represented by the sensor data occurs for the vehicle 1, that is, the time when the physical quantity is measured.

The data processing unit 102 processes the first sensor data and the second sensor data acquired by the data acquisition unit 101, and the first physical quantity represented by the first sensor data and the second sensor data represented by the second sensor data. 2 Acquire the physical quantity.

The event detection unit 103 detects an event that has occurred in the vehicle 1 based on the first and second physical quantities acquired by the data processing unit 102 and the occurrence time given to the first and second sensor data. ..

That is, in the present embodiment, in addition to the first physical quantity measured by the first sensor 16 and the second physical quantity measured by the second sensor 17, the time relationship in which the first physical quantity and the second physical quantity are measured is determined. Detect events in consideration.

When an event is detected, the event processing unit 104 executes processing according to the event.

Hereinafter, the processing procedure of the electronic device 10 according to the present embodiment will be described with reference to the flowchart of FIG.

First, when the power of the electronic device 10 is turned on and the electronic device 10 is started, the first sensor 16 and the second sensor 17 provided in the electronic device 10 start measurement.

When the measurement by the first sensor 16 and the second sensor 17 is started, the data acquisition unit 101 acquires the first sensor data output from the first sensor 16 and the second sensor data output from the second sensor 17. (Step S1). The first sensor 16 is configured to output the first sensor data, for example, at predetermined time intervals after the start of measurement. The same applies to the second sensor 17.

Next, the data processing unit 102 executes sensor data processing on the first sensor data and the second sensor data acquired in step S1 (step S2). The sensor data processing is a process for extracting information (data) necessary for event detection processing from the first sensor data and the second sensor data. The details of this sensor data processing will be described later.

The event detection unit 103 executes the event detection process using the result of the sensor data process (step S3). The event detection process is a process for detecting an event that has occurred in the vehicle 1. The details of this event detection process will be described later.

The event processing unit 104 determines whether or not an event has been detected by the event detection unit 103 as a result of the event detection processing (step S4).

When it is determined that an event has been detected (YES in step S4), the event processing unit 104 executes processing according to the detected event (hereinafter referred to as event processing). A specific example of this event processing will be described later.

On the other hand, if it is determined that the event has not been detected (NO in step S4), the process of step S5 is not executed.

Next, it is determined whether or not the power of the electronic device 10 is turned off (step S6). When it is determined that the power of the electronic device 10 is not turned off (NO in step S6), the process returns to step S1 described above and the process is repeated. On the other hand, when it is determined that the power of the electronic device 10 has been turned off (YES in step S6), the process shown in FIG. 4 is terminated.

As described above, according to the process shown in FIG. 4, it is possible to detect an event generated in the vehicle 1 while the power of the electronic device 10 is on.

Next, the sensor data processing (processing in step S2) and event detection processing (processing in step S3) shown in FIG. 4 will be described in detail.

First, an example of the processing procedure for sensor data processing will be described with reference to the flowchart of FIG. This sensor data processing is executed by the data processing unit 102 after the first and second sensor data are acquired by the data acquisition unit 101 as described above.

The data processing unit 102 adds the first sensor data and the second sensor data acquired by the data acquisition unit 101 to the ring buffer (not shown) (step S11). The first and second sensor data added to the ring buffer in step S11 are raw data of the first and second physical quantities represented by the first and second sensor data. If a process for converting the sensor data (first and second sensor data) into a physical quantity (first and second physical quantity) is required, the process is executed before the process of step S11.

Here, the ring buffer is a kind of buffer (area) for temporarily storing data, and is used cyclically by connecting the tip and the end. According to such a ring buffer, when new sensor data (first and second sensor data) is added in step S11 described above, the oldest sensor data among the sensor data stored in the ring buffer is used. Is overwritten by the new sensor data (that is, the oldest sensor data is discarded). As a result, the ring buffer can hold sensor data for a certain period of time according to the capacity of the ring buffer. The capacity of the ring buffer shall be predetermined.

Next, the data processing unit 102 determines whether or not a predetermined condition is satisfied (step S12). The condition in step S12 is a condition for determining whether or not to execute the processing after step S13. For example, a predetermined time has elapsed from the execution of the previous sensor data processing, and the previous sensor data processing. Includes that a predetermined number of sensor data has been added to the ring buffer after the execution of.

If it is determined that the condition is not satisfied (NO in step S12), the process returns to step S11 described above and the process is repeated. In this case, for example, the sensor data (first sensor data and second sensor data) newly acquired by the data acquisition unit 101 are added to the ring buffer.

On the other hand, when it is determined that the condition is satisfied (YES in step S12), the data processing unit 102 acquires the sensor data from the ring buffer (step S13). In this step S13, the data processing unit 102 acquires all the sensor data stored in the ring buffer (that is, for a certain period of time). The sensor data acquired in step S13 includes the above-mentioned first and second sensor data.

The data processing unit 102 executes preprocessing on the sensor data (first and second sensor data) acquired in step S13 (step S14). The pre-processing performed on the sensor data includes offset processing, leveling processing, and the like.

Here, it is assumed that the first sensor 16 described above is, for example, an acceleration sensor (3-axis acceleration sensor) capable of measuring acceleration in each axis direction of three orthogonal axes (x-axis, y-axis and z-axis). In the case of such an acceleration sensor, the gravitational acceleration is measured in the z-axis direction, but the gravitational acceleration may not be necessary for detecting an event in the present embodiment. In this case, offset processing for removing the gravitational acceleration (offset) measured by the acceleration sensor may be executed as preprocessing.

Further, although the sensor data acquired in step S13 is time-series data, even if a leveling process (for example, moving average or the like) for leveling (smoothing) the time-series data is executed as preprocessing. good.

The preprocessing executed in step S14 may be another process as long as it is a process for removing unnecessary components (noise) from the sensor data. Further, the preprocessing in step S14 may be executed as necessary and may be omitted.

Next, the data processing unit 102 extracts the first feature quantity from the first sensor data (first physical quantity) among the sensor data for which the preprocessing was executed in step S14 (step S15).

As described above, when the first sensor 16 is a 3-axis accelerometer, the first feature quantity extracted from the first sensor data in step S15 is the acceleration measured by the 3-axis accelerometer for a certain period of time. Can be the maximum value (maximum acceleration) of. In this case, the first feature amount may be, for example, the maximum value of the acceleration (absolute value) of each axis measured by the 3-axis acceleration sensor, or the first feature amount of each axis measured by the 3-axis acceleration sensor. It may be the maximum value of the absolute value of the acceleration vector (that is, the maximum value of the vector composite value) representing the direction of the acceleration (acceleration generated with respect to the vehicle 1) calculated by the acceleration.

Here, as described above, the first sensor data output from the first sensor 16 is given a time (occurrence time) at which the first physical quantity represented by the first sensor data is measured.

Therefore, the data processing unit 102 acquires the occurrence time (hereinafter referred to as the first occurrence time) assigned to the first sensor data from which the first feature amount has been extracted (step S16). When the first feature amount is the maximum acceleration measured by the acceleration sensor as described above, the first occurrence time is the time when the maximum acceleration is measured.

Further, the data processing unit 102 extracts the second feature amount from the second sensor data (second physical quantity) of the sensor data for which the preprocessing was executed in step S14 (step S17).

When the second sensor 17 is, for example, a gyro sensor, the second feature amount extracted from the second sensor data in step S16 is the maximum value of the angular velocities (absolute values) measured by the gyro sensor for a certain period of time. (Maximum angular velocity) and the like.

Here, as described above, the second sensor data output from the second sensor 17 is given a time (occurrence time) at which the second physical quantity represented by the second sensor data is measured.

Therefore, the data processing unit 102 acquires the occurrence time (hereinafter referred to as the second occurrence time) assigned to the second sensor data from which the second feature amount has been extracted (step S18). When the second feature amount is the maximum angular velocity measured by the gyro sensor as described above, the second occurrence time is the time when the maximum angular velocity is measured.

According to the sensor data processing shown in FIG. 5 described above, the first feature amount extracted from the first sensor data, the first occurrence time given to the first sensor data, and the second sensor data extracted from the second sensor data. It is possible to acquire the two feature quantities and the second occurrence time assigned to the second sensor data.

The first feature amount extracted in step S15 and the second feature amount extracted in step S17 are feature amounts other than those described above as long as they serve as a guideline for detecting an event generated in the vehicle 1. (Value) may be extracted.

Next, an example of the processing procedure of the event detection processing will be described with reference to the flowchart of FIG. This event detection process is executed by the event detection unit 103 after the sensor data processing is executed by the data processing unit 102 as described above.

Here, a case where the first sensor 16 is an acceleration sensor, the second sensor 17 is a gyro sensor, and the vehicle 1 to which the electronic device 10 is attached detects that an accident has occurred will be mainly described. ..

The event detection unit 103 determines whether or not the first feature amount extracted from the first sensor data by executing the above-mentioned sensor data processing satisfies a predetermined condition (hereinafter referred to as the first condition). Is determined (step S21).

As described above, when the first feature amount is, for example, the maximum value of the acceleration measured by the acceleration sensor for a certain period of time, the first condition is that the first feature amount is equal to or higher than a predetermined value (threshold value). Including being.

The first condition described here is an example, and other conditions may be defined as the first condition as long as it is a condition for detecting an event using the first feature amount.
2). When it is determined that the first feature amount satisfies the first condition (YES in step S21), the condition that the second feature amount extracted from the second sensor data by executing the sensor data processing is predetermined. It is determined whether or not (hereinafter, referred to as the second condition) is satisfied (step S2).
As described above, when the second feature amount is, for example, the maximum value of the angular velocities measured for a certain period of time by the gyro sensor, the second condition is that the second feature amount is equal to or higher than a predetermined value (threshold value). Including being.

The second condition described here is an example, and other conditions may be defined as the second condition as long as it is a condition for detecting an event using the second feature amount.

Here, when it is determined that the second feature amount satisfies the second condition, it is presumed that an impact is applied to the vehicle 1 because, for example, an acceleration and an angular velocity of a certain value or more are generated with respect to the vehicle 1. It is conceivable to detect an event that the vehicle 1 has caused an accident.

However, for example, when the door of the vehicle 1 is closed with a relatively strong force, the first feature amount (maximum acceleration measured by the acceleration sensor) may exceed the threshold value.

Further, the electronic device 10 (for example, a drive recorder) is manually attached to the vehicle 1, but if this attachment work is not performed normally and there is a defect, it seems that an impact due to an accident or the like has not occurred. Even in this case, the electronic device 10 may rotate and the second feature amount (maximum angular velocity measured by the gyro sensor) may exceed the threshold value.

Therefore, in the present embodiment, when it is determined in step S21 that the first feature amount satisfies the first condition, and in step S22 it is determined that the second feature amount satisfies the second condition (step S22). YES), and further execute the process of step S23. Specifically, the event detection unit 103 has a condition in which the first occurrence time acquired in step S16 shown in FIG. 5 and the second occurrence time acquired in step S18 are predetermined (hereinafter, the third condition). It is determined whether or not the notation) is satisfied (step S23).

Here, in general, when an accident occurs in which the vehicle 1 collides with another vehicle or the like, the vehicle 1 may rotate after the impact is applied to the vehicle 1. Assuming such a situation, the electronic device 10 attached to the vehicle 1 measures the maximum acceleration as the impact applied to the vehicle 1, and immediately after that, the maximum angular velocity corresponding to the rotation of the vehicle 1 is measured. Is expected.

In this case, the above-mentioned third condition can be, for example, that the first occurrence time is earlier than the second occurrence time (that is, the second occurrence time-the first occurrence time> 0).

When it is determined that the first occurrence time and the second occurrence time (time relationship) satisfy such a third condition, that is, the maximum angular velocity is measured after the maximum acceleration is measured (YES in step S23). ), The event detection unit 103 detects an event that the vehicle 1 has caused an accident (step S24).

On the other hand, when it is determined in step S21 that the first feature amount does not satisfy the first condition, when it is determined in step S22 that the second feature amount does not satisfy the second condition, or in step S23, the first occurrence time. If it is determined that the second occurrence time does not satisfy the third condition, the above-mentioned event is not detected (step S25).

When an event is detected in the event detection process shown in FIG. 6 described above, the event process is executed in step S5 shown in FIG.

Here, when the electronic device 10 is, for example, a drive recorder, the non-volatile memory 12 provided in the electronic device 10 stores an image in front of the driver's seat of the vehicle 1 constantly taken by the camera 14. There is.

When the event that the vehicle 1 has caused an accident is detected as described above, as the event processing, for example, an image taken in a predetermined period including the first and second occurrence times is inserted into the electronic device 10. A process such as saving to the stored memory card 20 can be executed. In this case, the sensor data measured at a predetermined time including the first and second occurrence times (for example, the sensor data stored in the ring buffer when an event is detected) is also stored in the memory card 20. You may do it. Further, as the event processing, a processing of transmitting these images and sensor data to an external server device of the electronic device 10 may be executed. According to such event processing, it is possible to appropriately store images and sensor data for later verifying the accident that occurred in the vehicle 1 described above.

Further, as the event processing, a process of notifying the server device of the occurrence of an event (sending an event occurrence notification) may be executed. According to such event processing, it is possible to promptly report an accident that has occurred in the vehicle 1 and provide a rush service to the accident site.

The event processing described here is an example, and other processing may be executed as the event processing.

As described above, in the present embodiment, the first sensor 16 for measuring the first physical quantity generated for the vehicle 1 and the second sensor 17 for measuring the second physical quantity generated for the vehicle 1 are provided, and the first physical quantity is provided. (1st feature quantity), the time when the first physical quantity was measured (first occurrence time), the second physical quantity, and the time when the second physical quantity was measured (second occurrence time), which occurred in the vehicle 1. Detect an event.

Specifically, the first physical quantity (for example, acceleration) satisfies the first condition, the second physical quantity (for example, angular velocity) satisfies the second condition, and the relationship between the first occurrence time and the second occurrence time is the first. An event is detected when the three conditions are met.

In the present embodiment, with such a configuration, the time of occurrence of the first physical quantity and the second physical quantity (that is, the first condition) is set as compared with the case where the event is detected only from the first physical quantity and the second physical quantity, for example. Since the event is detected in consideration of the temporal context of the first physical quantity to be satisfied and the second physical quantity to satisfy the second condition), it is possible to suppress erroneous detection of the event.

Further, in the present embodiment, the event detection accuracy is further improved by executing the preprocessing for removing unnecessary components of the first physical quantity (first sensor data) and the second physical quantity (second sensor data). It is possible to make it.

Here, in the present embodiment, for example, the case where the first sensor 16 is an acceleration sensor, the second sensor 17 is a gyro sensor, and an event that the vehicle 1 has caused an accident has been mainly described. As described above, the first sensor 16 and the second sensor 17 may be other sensors that measure physical quantities other than acceleration and angular velocity. As the first sensor 16 or the second sensor 17, for example, a GNSS sensor or the like can be used in addition to the acceleration sensor and the gyro sensor, but when such a sensor is used, the vehicle 1 measured by the sensor is used. It is possible to extract and use the amount of change in position, speed, etc. as the above-mentioned feature amount.

Further, in the present embodiment, the first physical quantity measured by the first sensor 16 and the second physical quantity measured by the second sensor 17 are different physical quantities, but the different physical quantities are measured by, for example, triaxial acceleration. The acceleration in the X-axis direction, the acceleration in the Y-axis direction, and the like may be used. In this case, the first sensor 16 and the second sensor 17 may be provided with different acceleration sensors, or the first sensor 16 and the second sensor 17 may be integrated and provided with one three-axis acceleration sensor. May be.

Further, in the present embodiment, as described above, when an accident such as the vehicle 1 colliding with another vehicle or the like occurs, the vehicle 1 rotates after the impact is applied to the vehicle 1. The third condition is that the first occurrence time (time when the maximum acceleration is measured) is earlier than the second occurrence time (time when the maximum angular velocity is measured). The event detected by the device 10 is not limited to the event that the vehicle 1 has caused an accident.

That is, the above-mentioned third condition is, for example, depending on the combination of the first physical quantity measured by the first sensor 16 and the second physical quantity measured by the second sensor 17, the content (type) of the detected event, and the like. The first occurrence time may be later than the second occurrence time.

Further, in the present embodiment, whether the third condition is satisfied mainly based on the order of generation of the first feature amount (for example, measurement of maximum acceleration) and generation of the second feature amount (for example, measurement of maximum angular velocity). Although it has been explained that whether or not it is determined, in addition to the order, the difference between the first occurrence time and the second occurrence time (that is, the interval between the measurement of the maximum acceleration and the measurement of the maximum angular velocity) is predetermined. The third condition may be that it is equal to or less than the value (threshold).

Further, the order of the generation of the first feature amount and the generation of the second feature amount is irrelevant, and the third condition is that the difference between the first occurrence time and the second occurrence time is not more than a predetermined value. May be good.

Further, in the present embodiment, the event detection process shown in FIG. 6 described above has been described as being executed, but the event is detected based on the first physical quantity, the first occurrence time, the second physical quantity, and the second occurrence time. If so, a process different from the event detection process shown in FIG. 6 may be executed.

Specifically, instead of the event detection process shown in FIG. 6, for example, the event detection process as shown in FIG. 7 may be executed. In the event detection process shown in FIG. 7, for example, an event is detected when the first feature amount satisfies the first condition and the second feature amount does not satisfy the second condition, which is the event shown in FIG. It is different from the detection process. In the present embodiment, other than the event detection process shown in FIG. 7, for example, the relationship between the first physical quantity and the first threshold value, the relationship between the second physical quantity and the second threshold value, and the first occurrence time and the second threshold value. Events can be detected according to various combinations of relationships with the time of occurrence.

That is, if it is possible to appropriately detect an event while suppressing false detection, the above-mentioned event detection process is a combination of a first physical quantity (first feature quantity) and a second physical quantity (second feature quantity). It may be changed as appropriate according to the content of the detected event.

In the present embodiment, the process shown in FIG. 4 is executed in the electronic device 10, but a part of the process may be executed by, for example, an external server device.

Further, in the present embodiment, the sensor data is stored in the ring buffer as described above, but the sensor data processing and the event detection processing executed by the electronic device 10 are stored in the ring buffer. It is executed based on the sensor data for a certain period of time. In this case, if the capacity of the ring buffer is excessively large, it may not be possible to detect the event properly if multiple events occur within a certain period of time when the sensor data is stored in the ring buffer. There is. On the other hand, if the capacity of the ring buffer is excessively small, it may hinder efficient processing. Therefore, in the present embodiment, the capacity (size) of the ring buffer may be changed by, for example, a user of the electronic device 10 or an administrator of an external server device.

Further, since various threshold values and the like set in the first to third conditions in the above-mentioned event detection process also affect the event detection accuracy, the user of the electronic device 10 or the administrator of the server device, etc. It may be possible to change by.

The capacity of the ring buffer and various threshold values described above may be automatically updated. Specifically, for example, information indicating correctness for the result of the above-mentioned event detection process (event detection or event non-detection) is registered (accumulated) in the server device based on an instruction from a user or the like or a reference to another database. By doing so, the capacity of the ring buffer and various thresholds can be automatically updated so that the result of the event detection process that was an error becomes correct.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and variations thereof are included in the scope of the invention described in the claims and the equivalent scope thereof, as are included in the scope and gist of the invention.

10 ... electronic equipment, 11 ... CPU, 12 ... non-volatile memory, 13 ... main memory, 14 ... camera, 15 ... LCD, 16 ... first sensor, 17 ... second sensor, 18 ... wireless communication device, 19 ... memory card Interface, 20 ... Memory card, 101 ... Data acquisition unit, 102 ... Data processing unit, 103 ... Event detection unit, 104 ... Event processing unit.

Claims (7)

In electronic devices attached to vehicles
The first sensor that measures the first physical quantity including the acceleration generated for the vehicle, and
A second sensor that measures a second physical quantity including an angular velocity generated with respect to the vehicle or an acceleration generated in a second direction different from the first direction in which the acceleration is generated.
The first maximum value is extracted from the first physical quantity measured by the first sensor for a certain period of time, and the second maximum value is extracted from the second physical quantity measured by the second sensor for a certain period of time. The vehicle is based on the relationship between the second maximum value and the first time when the first maximum value is measured by the first sensor and the second time when the second maximum value is measured by the second sensor. An electronic device equipped with a detection means for detecting an event that has occurred in. In the detection means, when the first maximum value satisfies the first condition, the second maximum value satisfies the second condition, and the relationship between the first time and the second time satisfies the third condition. The electronic device according to claim 1, which detects the event. The first condition is that the first maximum value is equal to or higher than the first threshold value, the second condition is that the second maximum value is equal to or higher than the second threshold value, and the third condition is that the second maximum value is equal to or higher than the second threshold value. The electronic device according to claim 2 , wherein the first time is before the second time . The detection means determines the event according to a combination of the relationship between the first physical quantity and the first threshold value, the relationship between the second physical quantity and the second threshold value, and the relationship between the first time and the second time. The electronic device according to claim 1 to be detected. The electronic device according to claim 1, further comprising a processing means for executing a pretreatment for removing an unnecessary component of the first physical quantity and the second physical quantity. It is an event detection method executed by electronic devices installed in vehicles.
The step of acquiring the first physical quantity including the acceleration generated for the vehicle measured by the first sensor, and
A step of acquiring a second physical quantity including an angular velocity generated for the vehicle or an acceleration generated in a second direction different from the first direction in which the acceleration is generated measured by the second sensor.
The first maximum value is extracted from the first physical quantity measured by the first sensor for a certain period of time, and the second maximum value is extracted from the second physical quantity measured by the second sensor for a certain period of time. The vehicle is based on the relationship between the second maximum value and the first time when the first maximum value is measured by the first sensor and the second time when the second maximum value is measured by the second sensor. An event detection method that includes a step to detect an event that has occurred in. A program executed by the computer of an electronic device installed in a vehicle.
To the computer
The step of acquiring the first physical quantity including the acceleration generated for the vehicle measured by the first sensor, and
A step of acquiring a second physical quantity including an angular velocity generated for the vehicle or an acceleration generated in a second direction different from the first direction in which the acceleration is generated measured by the second sensor.
The first maximum value is extracted from the first physical quantity measured by the first sensor for a certain period of time, and the second maximum value is extracted from the second physical quantity measured by the second sensor for a certain period of time. The vehicle is based on the relationship between the second maximum value and the first time when the first maximum value is measured by the first sensor and the second time when the second maximum value is measured by the second sensor. A program to execute a step to detect an event that occurred in.

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