JP6464003B2 - Fall detection terminal and program - Google Patents

Description

  The present invention relates to a fall detection terminal having a function of detecting a fall of a user (carrier).

  2. Description of the Related Art Conventionally, there is known an apparatus that detects a human body movement (motion) with a sensor and detects a fall from the detected data (see, for example, Patent Document 1). And when a body movement is detected after a fall detection, since there is no need for a report, the technique which cancels a fall detection is also proposed.

JP 2002-360522 A

  However, there are various modes of falls, and in the conventional method, there is a case where the fall detection is erroneously canceled. For example, when falling from a staircase, a strong impact is first generated by the fall, but thereafter, not only a strong impact but also a weak impact is repeatedly generated along with the operation of falling down the staircase. For this reason, there is a risk of detecting the impact (body movement) while the stairs are falling and erroneously automatically canceling the fall detection.

  The present invention has been made in view of the above-described problems, and an object thereof is to provide a fall detection terminal capable of performing appropriate automatic cancellation in consideration of falling from a staircase.

  The fall detection terminal according to the present invention is a fall detection terminal that is carried by a user and detects the fall of the user. The fall detection terminal detects a fall of the fall detection terminal and outputs a motion data. The fall detection means for detecting an impact generated in the fall detection terminal, detecting the fall of the user based on the magnitude of the impact, and detecting the user's body movement from the motion data, and the fall determination A cancellation processing means for canceling the fall detection when a predetermined body movement is detected within a predetermined cancellation determination time after the fall detection by the means, and an altitude sensor for detecting the altitude of the fall detection terminal. The cancellation processing means, when the occurrence pattern of a plurality of impacts matches a specific pattern indicating the occurrence of impact due to stairs falling, and the decrease in altitude is a predetermined value or more, To prohibit the serial canceled.

  With this configuration, motion data indicating the user's motion is acquired by the motion sensor, and the user's fall is detected from the motion data, and it is determined whether the user has fallen. The body motion of the user is detected from the motion data, and if the body motion is detected within the cancel determination time after the fall detection, the fall detection is automatically canceled. In this case, the altitude of the fall detection terminal is detected. If a plurality of impact generation patterns match a specific pattern indicating the occurrence of impact due to a stairs falling, and the altitude reduction is equal to or greater than a predetermined value, cancellation of the fall detection is prohibited. Therefore, even when body movement is detected after a fall is detected, if an impact pattern that seems to fall down a staircase occurs and there is a large drop in altitude, automatic cancellation is not performed and a fall abnormality is determined. Thereby, when canceling the fall detection, appropriate automatic cancellation can be performed in consideration of the fall (falling down) from the stairs.

  In the fall detection terminal of the present invention, the cancellation processing unit may determine that the specific pattern matches the specific pattern when an impact exceeding a predetermined reference is continuously detected.

  With this configuration, when a certain amount of impact (impact greater than a predetermined reference) is continuously detected, it is appropriately determined that an impact pattern that seems to fall down a staircase has occurred.

  In the fall detection terminal of the present invention, the cancel processing means may determine that the specific pattern matches the specific pattern when an impact exceeding a predetermined reference is detected a predetermined number of times.

  With this configuration, when a certain degree of impact (impact exceeding a predetermined reference) is detected with high frequency (predetermined number of times or more), it is appropriately determined that an impact pattern that seems to fall down a staircase has occurred.

  In the fall detection terminal according to the present invention, the fall determination means detects an impact using a first reference in order to determine whether or not the user has fallen, and the cancellation processing means includes: In order to determine whether or not the specific pattern is met, the impact may be detected using a second reference lower than the first reference.

  With this configuration, it is possible to detect an impact for determining whether or not the user has fallen (falling determination), and to detect an impact pattern that is likely to fall on a staircase (step falling determination). So different criteria are used. By using a standard (second standard) that is lower than the standard for shock detection (first standard) for determining the fall as the standard for detecting the shock for determining the stairs to fall, a relatively small impact at the time of stairs falling. Even when a large impact is mixed, it is possible to appropriately determine whether or not an impact pattern that seems to fall down the stairs has occurred.

  In the fall detection terminal of the present invention, the cancellation processing unit extracts an exclusion period that matches the specific pattern, and the predetermined body movement is detected in a period other than the exclusion period after the fall detection. In this case, the fall detection may be canceled.

  With this configuration, it is determined whether or not to cancel the fall detection based on the body movement in a period other than the period (exclusion period) in which an impact pattern that seems to fall down the stairs occurs. As a result, it is possible to appropriately determine whether or not to cancel the fall detection based on the body motion that is not affected by the fall of the stairs (or is less affected by the fall of the stairs).

  The program of the present invention is a program executed by a fall detection terminal that detects a user's fall, and includes a motion sensor that detects movement of the fall detection terminal and outputs motion data to the fall detection terminal. An altitude sensor that detects the altitude of the fall detection terminal, and the program detects a shock generated in the fall detection terminal from the motion data based on the magnitude of the impact. A predetermined body motion is detected within a predetermined cancel determination time after the fall detection by the process of detecting the user's fall and the body motion of the user from the motion data and detecting the fall. In this case, a process of canceling the fall detection is executed, and in the canceling process, a plurality of impact generation patterns indicate the occurrence of impact due to stairs falling. Match the pattern, and when the high reduction is a predetermined value or more, prohibits the cancellation.

  Also with this program, similarly to the above terminal, motion data indicating the user's motion is acquired by the motion sensor, and the user's fall is detected from the motion data to determine whether the user has fallen. . The body motion of the user is detected from the motion data, and if the body motion is detected within the cancel determination time after the fall detection, the fall detection is automatically canceled. In this case, the altitude of the fall detection terminal is detected. If a plurality of impact generation patterns match a specific pattern indicating the occurrence of impact due to a stairs falling, and the altitude reduction is equal to or greater than a predetermined value, cancellation of the fall detection is prohibited. Therefore, even when body movement is detected after the fall is detected, automatic cancellation is not performed if an impact pattern that seems to fall down a staircase occurs and there is a significant decrease in altitude. Thereby, when canceling the fall detection, appropriate automatic cancellation can be performed in consideration of the fall (falling down) from the stairs.

  According to the present invention, it is possible to perform appropriate automatic cancellation in consideration of falling from the stairs.

It is a block diagram of a fall detection terminal in an embodiment of the present invention. It is a figure which shows an example of the acceleration data for demonstrating fall detection. It is a figure which shows an example of the acceleration and atmospheric | air pressure data at the time of falling from a staircase. It is a flowchart for operation | movement description of the fall detection terminal in embodiment of this invention.

  Hereinafter, a fall detection terminal according to an embodiment of the present invention will be described with reference to the drawings. In the present embodiment, a case of a fall detection terminal used in a monitoring system or the like that detects the fall of an elderly person is exemplified. The function of the fall detection terminal (fall detection function) can be realized by a program stored in a memory or the like of the terminal.

  The fall detection terminal is a terminal device carried by a user (such as an elderly person). For example, the fall detection terminal is composed of a wristband type (watch type) wearable terminal, and a user (such as an elderly person) is worn on the wrist or arm. The fall detection terminal may be a pendant type that hangs from the neck, a head-mounted type that is attached to the head or ear, or a waist-mounted type such as a belt type.

  First, the configuration of the fall detection terminal of the present embodiment will be described with reference to the drawings. FIG. 1 is a block diagram showing the configuration of the fall detection terminal of the present embodiment. As shown in FIG. 1, the fall detection terminal 1 includes an acceleration sensor 2, a mounting sensor 3, an altitude sensor 4, and an emergency button 5. The fall detection terminal 1 includes an operation display unit 6, a vibration unit 7, a power supply unit 8, a wireless communication unit 9, and a monitoring control unit 10.

  The acceleration sensor 2 is a sensor having a function of detecting a user's movement and outputting movement data (acceleration data) indicating the movement of the user, and is composed of, for example, a three-axis acceleration sensor. The acceleration sensor 2 outputs acceleration data detected at a predetermined sampling period. The mounting sensor 3 is a sensor having a function of detecting a mounting state (whether or not it is mounted) on a human body (arm). For example, a capacitive sensor or the like can be used to electrically detect contact and proximity of a human body mounting site. It consists of sensors that can be detected automatically. The altitude sensor 4 is a sensor having a function of detecting a change in the height of the terminal using a change in atmospheric pressure or the like, and is composed of, for example, an atmospheric pressure sensor. The emergency button 5 is an operation unit (emergency operation unit) for a user to make an emergency report in an emergency.

  The operation display unit 6 includes, for example, a touch panel display, and includes a function for displaying various information such as abnormality notification (information display function) and a function for performing various input operations such as a cancel operation (input operation function). Yes. The vibration unit 7 is composed of a vibration device or the like, and has a function of notifying a user of an abnormality or operation acceptance by a stimulus by vibration. The power supply unit 8 includes a battery such as a battery. The wireless communication unit 9 has a function of performing wireless communication with a security terminal 12 installed in a remote monitoring center 11 via, for example, a mobile communication network. In addition, the wireless communication unit 9 has a function of performing wireless communication with a security terminal (not shown) installed in the house by Bluetooth (registered trademark) or specific low power wireless.

  The monitoring control unit 10 is an emergency monitor having a function of performing emergency monitoring based on input from each sensor (acceleration sensor 2, wearing sensor 3, altitude sensor 4) and operation unit (emergency button 5, operation display unit 6). A life monitoring unit 14 having a function of performing life monitoring, and a fall monitoring unit 15 having a function of performing fall monitoring. In addition, the monitoring control unit 10 has a function of controlling each unit of the fall detection terminal 1.

  The emergency monitoring unit 13 has a function of making an emergency report to the monitoring center 11 when the user operates the emergency button 5 in response to an emergency response. For example, if the emergency button 5 is kept pressed for 2 seconds, it is determined that the emergency is abnormal, the emergency abnormality is notified to the monitoring center 11, and the fact that the abnormality is confirmed is notified to the surroundings by vibration, screen, sound, light, or the like. Since the emergency abnormality is an abnormality caused by conscious operation, the cancel operation is not accepted. In addition, even if a life abnormality or a fall abnormality (described later) occurs, if an emergency abnormality occurs, the emergency abnormality takes priority.

  Based on the output of the acceleration sensor 2, the life monitoring unit 14 monitors whether the user (carrier or wearer) is moving to an extent that occurs in daily life, and confirms that the state where the user cannot move due to sudden illness or the like continues. It has a function to report. The life monitoring unit 14 performs life monitoring when in the wearing state (mounted state). For example, a user's movement (body movement) is detected from the output of the acceleration sensor 2, and it is determined that there is a life abnormality if body movement at the daily life level does not occur continuously for a certain period (for example, 1 hour). If it is determined that the life is abnormal, the user is notified by vibration, screen, sound, light, or the like. The life monitoring unit 14 cancels the life abnormality when the body movement is detected during a predetermined cancel time (for example, 10 seconds) or a cancel operation is input after determining / notifying the life abnormality ( Do not report errors). The body movement detection process is the same as the process in the fall monitoring (described later).

  Here, the basic logic of fall detection will be described. The fall monitoring unit 15 analyzes the change in acceleration based on the output (acceleration data) of the acceleration sensor 2, and detects a fall by extracting a fall event in which a feature that seems to fall is present. The fall monitoring unit 15 has a function of performing various fall determinations (fall detection). The fall monitoring unit 15 includes a fall determination unit 16 as a configuration for that purpose.

FIG. 2 shows an example of acceleration data for explaining the fall detection. The fall determination unit 16 may detect “impact” from the output of the acceleration sensor 2 and detect the fall based on the detection result (evaluation value). In this case, the fall determination unit 16 detects an acceleration peak equal to or higher than a predetermined threshold (for example, 30 m / sec ² ) from the acceleration data to be processed for the fall determination. Then, an acceleration change amount H (accumulated value of acceleration change) is obtained for a certain period including the acceleration peak time (for example, 100 msec, 50 msec before and after the peak). The fall determination unit 16 determines that the user has fallen if the acceleration change amount H is equal to or greater than a predetermined fall reference value (for example, 50 m / sec ² ). That is, a fall event is detected.

For example, by using the following formula 1, the absolute value of the difference from the immediately preceding acceleration is obtained for acceleration data (scalarized acceleration data a1, a2,..., A5) within a predetermined period (for example, 100 msec). The acceleration change amount H is calculated by integrating over this period. The acceleration change amount H may be calculated for each of the three axes (X axis, Y axis, Z axis) of the acceleration sensor, and may be calculated as the sum or average of the three axes.
H = | a1-a2 | + | a2-a3 | +... || a4-a5 | (Formula 1)

  Note that the fall determination unit 16 may perform the fall determination (fall detection) based on the acceleration value (peak value P) at the acceleration peak. Further, the fall determination unit 16 may perform the fall determination (fall detection) based on the ratio H / P between the acceleration change amount H and the peak value P. In addition, the fall determination unit 16 does not obtain the acceleration change amount H for a certain period before and after the acceleration peak, but obtains the acceleration change amount H for a certain period before and after the sequentially input acceleration data, or every certain period. In addition, the acceleration change amount H during the period may be obtained and the fall determination (fall detection) may be performed. In addition, the fall determination unit 16 may detect “free fall characteristics” from the output of the acceleration sensor 2 and detect the fall based on the detection result (evaluation value). Alternatively, the fall determination unit 16 may detect “impact” and “free fall characteristics” from the output of the acceleration sensor 2 and detect the fall based on each detection result (evaluation value).

Moreover, the fall monitoring unit 15 has a function of automatically canceling the fall detection. The fall monitoring unit 15 includes a cancellation processing unit 17 as a configuration for that purpose. The cancellation processing unit 17 performs automatic cancellation processing based on body movement detection. That is, even if a fall is detected, the user is considered not in a dangerous state if a body movement is detected thereafter, so the cancellation processing unit 17 automatically cancels the fall detection. In this body motion detection (automatic canceling process), body motion of a predetermined delay time (for example, 3 seconds) is ignored from the time point when the fall is detected (or the peak time point), and the subsequent cancel determination time (for example, 15 seconds). The presence or absence of body movement during the period is determined. The presence or absence of body movement is determined by observing the peak value of acceleration or the amount of change. For example, body movement is detected when a peak value equal to or greater than a predetermined threshold (for example, 12 m / sec ² ) is detected a predetermined number of times, or when the sum of the peak values exceeds a certain value. Alternatively, when the total amount of acceleration change in a certain period (for example, several seconds) or body movement determination time exceeds a certain value, or when the amount of acceleration change per unit time exceeds a certain value, Detect motion. If no body movement is detected before the cancellation determination time elapses after the fall is detected, the fall determination unit 16 determines the fall abnormality.

  Moreover, in this cancellation process part 17, the automatic cancellation process which considered the fall from a staircase is performed. Specifically, the cancellation processing unit 17 is a case where body movement that causes automatic cancellation processing is detected, but when the body movement is caused by a fall from a staircase, Do not execute the automatic cancellation process.

  That is, during the cancellation determination time after the fall detection, a process (body movement detection process) for detecting the body movement that is the target of the automatic cancellation process is executed, and at the same time, excluded from the target of the automatic cancellation process Processing for determining acceleration change due to stairs falling (step falling determination processing) is executed. For example, when a continuous (long-lasting) impact occurs, it is determined that the acceleration is likely to fall down a staircase.

  In this case, the presence / absence of an altitude change (whether there has been an altitude change greater than a predetermined altitude difference) is confirmed from the output of the altitude sensor 4. If a change in acceleration that seems to fall down the stairs is detected, and if there is a large difference in altitude between when the fall is detected (or at the start of the cancellation judgment time) and after the cancellation judgment time has elapsed, it is determined that the body movement is caused by the stairs falling. The

  In this way, when the cancellation determination time has elapsed, the cancellation processing unit 17 determines that the acceleration change due to the stairs falling occurs even if the body motion that is the target of the automatic cancellation processing is detected. In this case, the detected body movement is regarded as a body movement that should be excluded from the automatic cancellation process, and the automatic cancellation process is prohibited.

FIG. 3 is a diagram illustrating an example of acceleration and atmospheric pressure data when the vehicle falls from the stairs. In FIG. 3, the acceleration data is shown by a solid line, and the atmospheric pressure data is shown by a one-dot chain line. For example, the cancellation processing unit 17 detects and counts an acceleration peak of a predetermined value (for example, 20 m / sec ² ) or more during a predetermined cancel determination time (for example, 10 seconds) from the fall detection time T1. If the number of extracted peaks is equal to or greater than a predetermined number (for example, 5) and the altitude drop (decrease) is equal to or greater than a predetermined value (for example, 2 m = about 0.23 hPa), the stairs fall Is determined. Here, the magnitude of the impact that occurs when the stairs fall is not always as large as when a fall is detected, and it is assumed that the size of the impact is mixed. For this reason, the reference value (for example, 20 m / sec ² ) of the acceleration peak extracted for the staircase fall determination is set smaller than the reference value (for example, 30 m / sec ² ) used for the fall detection.

The determination of stairs fall is not the difference in altitude from the number of peaks between the fall detection time T1 and the predetermined cancellation judgment time, but the peak number and altitude between the fall detection time T1 and the time point T2 when the continuous impact ends. Differences may be used. Here, the impact end time T2 may be the last impact within the cancellation determination time (for example, an impact of 20 m / sec ² or more), and the next impact (for example, 20 m / sec ² or more) within a predetermined time (for example, 3 seconds). The point of time when no impact is detected. Alternatively, the peak number and altitude difference between the time T1 when the fall is detected and the present time may be repeatedly obtained, and it may be determined that the stairs have fallen when the peak number and altitude difference conditions are met.

Further, the determination time of the stairs fall is not based on the time T1 when the fall is detected, but the time T2 when the last impact (for example, an impact of 20 m / sec ² or more) is detected, or a predetermined past time based on the current time. (For example, 10 seconds). In addition, when there is a continuous impact (for example, an impact of 20 m / sec ² or more) before the fall detection time T1, a determination period for stair fall may be set starting from the first impact. Further, the period used for the determination of the stairs fall (for example, the period from T1 to T2) may be excluded from the period used for the automatic cancellation determination (period for detecting body movement for automatic cancellation). When it is determined that the stairs have fallen, a period in which an impact has been continuously generated since the fall detection time T1 (a period in which it is recognized that the stairs have fallen) may be excluded from the period used for the automatic cancellation determination.

In this way, the cancellation processing unit 17 matches a specific pattern in which a plurality of impact generation patterns indicate the occurrence of an impact due to a stairs fall, and a decrease in altitude is a predetermined value (for example, 2 m = about 0.23 hPa) or more. In some cases, cancellation is prohibited. In this case, the cancellation processing unit 17 determines that it matches the specific pattern when an impact exceeding a predetermined reference (for example, 20 m / sec ² ) is continuously detected. Specifically, the cancellation processing unit 17 determines that a specific pattern is met when an impact greater than or equal to a predetermined reference (for example, 20 m / sec ² ) is detected a predetermined number of times (for example, 5) within a predetermined period.

In addition, the fall determination unit 17 detects an impact using a first reference (for example, 40 m / sec ² ) in order to determine whether or not the user has fallen, and the cancellation processing unit 17 specifies In order to determine whether or not the pattern matches, the impact is detected using a ^second reference (for example, 20 m / sec ² ) lower than the first reference. Further, the cancellation processing unit 17 extracts an exclusion period (for example, a period from T1 to T2) that matches the specific pattern, and body movement is detected in a period other than the exclusion period after the fall detection (for example, a period after T2). In such a case, the fall detection may be canceled.

  Next, the operation of the fall detection terminal 1 of the present embodiment will be described with reference to the flowchart of FIG. In the fall detection terminal 1 of the present embodiment, first, a fall detection process for detecting a fall of a user from acceleration data is performed (S1). If it is determined that the vehicle has fallen (S2), the fall flag is turned ON (S3). Next, body motion detection processing for detecting the user's body motion from the acceleration data is performed (S4). Further, a stairs fall determination process for detecting an acceleration change (impact pattern) that satisfies the stairs fall condition from the acceleration data is performed (S5). The above processing (steps S4 and S5) is repeated until the cancel time elapses (S6).

  Then, it is determined whether or not the user's body movement is detected (S7). When the body movement to be automatically canceled is not detected, the overturn abnormality is determined without performing the automatic cancellation process (S8). When the body movement to be automatically canceled is detected, it is determined whether or not the acceleration change due to the stairs falling is detected (S9). When the stairs fall is not detected, the automatic cancellation process is performed and the fall flag is turned off (S10). On the other hand, when the stairs fall is detected, the overturn abnormality is determined without performing the automatic canceling process (S8).

  According to such a fall detection terminal 1 of the present embodiment, acceleration data indicating the user's movement is acquired by the acceleration sensor 2, and whether the user falls is detected from the acceleration data. It is determined whether or not. Then, when the user's body movement is detected from the acceleration data, and the body movement is detected within the cancel determination time after the fall detection, the fall detection is automatically canceled. If a plurality of impact occurrence patterns match a specific pattern indicating the occurrence of impact due to stairs falling and the altitude drop is a predetermined value (for example, 2 m = about 0.23 hPa) or more, the fall detection is performed. Cancellation is prohibited. Therefore, even when body movement is detected after the fall is detected, automatic cancellation is not performed if an impact pattern that seems to fall down a staircase occurs and there is a significant decrease in altitude. Thereby, when canceling the fall detection, appropriate automatic cancellation can be performed in consideration of the fall (falling down) from the stairs.

In the present embodiment, when a certain large impact (for example, an impact of 20 m / sec ² or more) is continuously detected, it is appropriately determined that an impact pattern that seems to fall down a staircase has occurred. Further, in this embodiment, when a certain large impact (for example, an impact of 20 m / sec ² or more) is detected with high frequency (for example, 5 or more), it is appropriately determined that an impact pattern that seems to fall down a staircase has occurred. Determined.

Further, in the present embodiment, for impact detection for determining whether or not the user has fallen (fall determination) and for determining whether or not an impact pattern that seems to be stairs has fallen (step fall determination). Different criteria are used for the impact detection. By using a criterion (for example, 20 m / sec ² ) lower than the criterion for detecting the impact (for example, 40 m / sec ² ) as a criterion for detecting the impact for determining the fall of the stairs, an impact pattern that seems to be a stairs to fall is obtained. It can be appropriately determined whether or not it has occurred.

  Further, in the present embodiment, whether or not to cancel the fall detection based on body movements in a period (for example, a period after T2) other than a period (a period from T1 to T2) in which an impact pattern that seems to fall down the stairs occurs. Is determined. As a result, it is possible to appropriately determine whether or not to cancel the fall detection based on the body motion that is not affected by the fall of the stairs (or is less affected by the fall of the stairs).

  The embodiments of the present invention have been described above by way of example, but the scope of the present invention is not limited to these embodiments, and can be changed or modified according to the purpose within the scope of the claims. is there.

  As described above, the fall detection terminal according to the present invention has the effect of being able to perform appropriate automatic cancellation considering fall from the stairs, and is used in a monitoring system that detects the fall of an elderly person. Useful.

DESCRIPTION OF SYMBOLS 1 Fall detection terminal 2 Acceleration sensor 3 Wear sensor 4 Altitude sensor 5 Emergency button 6 Operation display part 7 Vibration part 8 Power supply part 9 Wireless communication part 10 Monitoring control part 11 Monitoring center 12 Security terminal 13 Emergency monitoring part 14 Life monitoring part 15 Fall Monitoring unit 16 Fall determination unit (Fall determination means)
17 Cancellation processing section (cancellation processing means)

Claims (6)

In a fall detection terminal that is carried by a user and detects the fall of the user,
A motion sensor that detects movement of the fall detection terminal and outputs movement data;
A fall determination means for detecting an impact generated in the fall detection terminal from the movement data, and detecting the fall of the user based on the magnitude of the impact;
Cancellation processing for detecting the user's body movement from the movement data and canceling the fall detection when a predetermined body movement is detected within a predetermined cancellation determination time after the fall detection by the fall determination means Means,
An altitude sensor for detecting the altitude of the fall detection terminal;
With
The cancellation processing means prohibits the cancellation when a plurality of impact occurrence patterns match a specific pattern indicating the occurrence of impact due to a stairs fall and the altitude decrease is a predetermined value or more. A fall detection terminal.   The fall detection terminal according to claim 1, wherein the cancellation processing unit determines that the specific pattern is matched when an impact equal to or greater than a predetermined reference is continuously detected.   The fall detection terminal according to claim 2, wherein the cancel processing means determines that the specific pattern matches when an impact equal to or greater than a predetermined reference is detected a predetermined number of times or more. The fall determination means detects an impact using the first reference in order to determine whether or not the user has fallen,
The overturn detection according to claim 3, wherein the cancellation processing means detects an impact using a second reference lower than the first reference in order to determine whether or not the specific pattern is met. Terminal.   The cancellation processing means extracts an exclusion period that matches the specific pattern, and cancels the fall detection when the predetermined body movement is detected in a period other than the exclusion period after the fall detection. The fall detection terminal in any one of claim | item 1 -4. A program executed on a fall detection terminal that detects a user's fall,
The fall detection terminal is provided with a motion sensor that detects the movement of the fall detection terminal and outputs motion data, and an altitude sensor that detects the altitude of the fall detection terminal,
The program detects a shock generated in the fall detection terminal from the motion data in a computer, and detects the user's fall based on the magnitude of the shock;
The body motion of the user is detected from the motion data, and if a predetermined body motion is detected within a predetermined cancellation determination time after the fall detection by the process of detecting the fall, the fall detection is canceled. Processing,
And execute
In the canceling process,
A program for prohibiting the cancellation when a plurality of impact generation patterns match a specific pattern indicating the occurrence of an impact due to a stairs falling and the decrease in altitude is a predetermined value or more.

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