JP2016177459A - Fall detection terminal and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a fall detection terminal capable of appropriately performing automatic cancellation of a fall detection in accordance with a body movement of a user.SOLUTION: A fall detection terminal comprises: an acceleration sensor 2 that outputs acceleration data indicating the movement of a user; a fall determination part 16 that detects a fall of the user from the acceleration data to determine whether the user has fallen or not; and a cancellation processing part 17 that detects a body movement of the user from the acceleration data and cancels a fall detection if a predetermined body movement is detected within a predetermined cancellation determination time after the fall detection. The cancellation processing part 17 detects a predetermined first body movement and a continuous second body movement smaller than the first body movement and cancels the fall detection if the first body movement or the second body movement is detected.SELECTED DRAWING: Figure 1

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, the way a person moves after a fall is detected is irregular. Usually, a person can move little or only slowly after a fall that leads to an emergency. However, even if it does not lead to an emergency situation, it may move only slowly. On the other hand, even after a fall that leads to an emergency, the injured part may be touched or the body may be moved with pain. Therefore, if the fall detection is canceled on the basis of the presence or absence of body movement as in the conventional device, the fall detection that should not be canceled may be erroneously canceled.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide a fall detection terminal capable of automatically canceling fall detection appropriately in accordance with a user's body movement.

  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. A fall determination means for detecting a fall of the user and determining a fall abnormality of the user; a body movement of the user from the motion data; and a predetermined cancellation after the fall detection by the fall determination means Cancellation processing means for canceling the fall detection when a predetermined body motion is detected within the determination time, and the cancellation processing means is a predetermined first body motion and a duration smaller than the first body motion. The second body movement is detected, and the fall detection is canceled when the first body movement or the second body movement is detected.

  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. At this time, the user's body movement is detected from the movement data, and a large body movement (first body movement) or a small continuous body movement (second body movement) is detected in a predetermined cancellation determination time after the fall detection. If this happens, the fall detection is automatically canceled. Therefore, automatic cancellation is also performed when a large body movement is detected after the fall is detected, and automatic cancellation is also performed when a small continuous body movement is detected after the fall is detected. Thus, when canceling the fall detection, appropriate automatic cancellation can be performed according to the user's body movement.

  In the fall detection terminal of the present invention, the cancellation processing unit detects a body movement in which the user's movement change amount is a predetermined reference amount or more as the first body movement, and the user's movement change amount is Continuous body movement smaller than a reference amount may be detected as the second body movement.

  With this configuration, it is possible to appropriately detect a large body motion (a body motion in which the user's motion change amount is equal to or greater than a predetermined reference amount) as the first body motion. In addition, small continuous body movement (continuous body movement in which the movement change amount of the user is smaller than the reference amount) can be appropriately detected as the second body movement. Therefore, it is possible to appropriately determine whether to cancel automatically for large body movements and small body movements.

  In the fall detection terminal of the present invention, the cancellation processing unit obtains the motion change amount for each predetermined time interval from the motion data, and the motion change amount is equal to or greater than the reference amount in the cancellation determination time. The second body movement may be detected when there are a predetermined number or more of sections.

  With this configuration, when there are a predetermined number or more of intervals (time intervals) in which the amount of motion change is greater than or equal to the reference amount, the second body movement (small continuous body movement) is appropriately detected. Can do. Therefore, it is possible to appropriately determine whether to cancel automatically for small body movements.

  In the fall detection terminal of the present invention, the cancellation processing means may detect the second body movement when the integrated value of the movement change amount at the cancellation determination time is a predetermined value or more.

  With this configuration, it is possible to appropriately detect the second body movement (small continuous body movement) when the integrated value of the movement change amount during the cancellation determination time is equal to or greater than a predetermined value. Therefore, it is possible to appropriately determine whether to cancel automatically for small body movements.

  In the fall detection terminal of the present invention, the cancellation processing unit obtains the motion change amount for each predetermined time interval from the motion data, and the motion change amount is equal to or greater than a first reference value during the cancellation determination time. Is detected as the first body motion, and a section where the motion change amount is equal to or larger than a second reference value smaller than the first reference value in the cancel determination time is the first predetermined number. You may detect as said 2nd body movement, when there exists more than 2nd predetermined number.

  With this configuration, when there are more than a first predetermined number of sections (temporal sections) in which the amount of motion change is greater than or equal to the first reference value within the cancellation determination time, they are appropriately detected as first body movements (large body movements). be able to. In addition, when there are more than a second predetermined number (a predetermined number greater than the first predetermined number) than the second predetermined value (a predetermined number greater than the first predetermined number), the movement change amount is equal to or greater than the second reference value (a reference value smaller than the first reference value). It can be appropriately detected as two body movements (small continuous body movements). Therefore, it is possible to appropriately determine whether to cancel automatically for large body movements and small body movements.

  The program of the present invention is a program executed by a fall detection terminal that detects a fall of a user, and the fall detection terminal is provided with a motion sensor that detects movement of the terminal and outputs motion data. The program detects a fall of the user from the motion data and performs a fall abnormality determination for determining a fall abnormality of the user, and a movement of the user from the motion data. And a process of canceling the fall detection when a predetermined body movement is detected during a predetermined cancel determination time after the fall detection by the process of performing the fall abnormality determination. In the processing, a predetermined first body movement and a second body movement that is smaller than the first body movement are detected, and the fall detection is performed when the first body movement or the second body movement is detected. To cancel.

  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. . At this time, the user's body movement is detected from the movement data, and a large body movement (first body movement) or a small continuous body movement (second body movement) is detected in a predetermined cancellation determination time after the fall detection. If this happens, the fall detection is automatically canceled. Therefore, automatic cancellation is also performed when a large body movement is detected after the fall is detected, and automatic cancellation is also performed when a small continuous body movement is detected after the fall is detected. Thus, when canceling the fall detection, appropriate automatic cancellation can be performed according to the user's body movement.

  According to the present invention, it is possible to automatically cancel the fall detection appropriately in accordance with the body movement of the user.

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. (A) It is a figure which shows an example of the acceleration data in case there is no body movement after falling. (B) It is a figure which shows an example of the acceleration data in case there exists a general motion after falling. (C) It is a figure which shows an example of the acceleration data in case there exists a continuous body movement after falling. 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 Equation 1 below, the absolute value of the difference from the previous acceleration is obtained for acceleration data (scalarized acceleration data a1, a2,..., A5) within a predetermined period (eg, 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, the detection of the peak value above the predetermined threshold and the number of detections, the total of the detected peak values, the amount of change in acceleration per unit time, the change in acceleration during a certain period (for example, several seconds) or body movement determination time A predetermined body motion is detected based on the total amount. If a predetermined body movement is not detected by the elapse of the cancellation determination time after the fall detection, the fall determination unit 16 determines the fall abnormality.

  Specifically, the cancellation processing unit 17 performs automatic cancellation processing by detecting two types of body movements (first body movement and second body movement) after the fall is detected and before the cancellation determination time elapses. .

  FIG. 3 is a diagram showing an example of acceleration data, where (a) is data when there is no body movement after falling, (b) is data when there is general movement (first body movement) after falling, ( c) Data when there is a continuous body movement (second body movement) after a fall. As shown in FIG. 3A, if body movement is not detected by the time when the cancellation determination time elapses after the fall is detected, the cancellation processing unit 17 does not perform the automatic cancellation process, and the fall determination unit 16 detects a fall abnormality. Determine.

On the other hand, as shown in FIG. 3B, after detecting a fall (ignoring a predetermined delay time) and detecting a relatively fast and large body movement (general movement) before the cancellation determination time elapses. The cancellation processing unit 17 automatically cancels the fall detection. For example, if the acceleration change amount H per unit time exceeds the first threshold value (e.g. 40 m / sec ^2), or a predetermined reference value (e.g., 15 m / sec ²⁾ or more acceleration peak value is detected In such a case, the fall detection is automatically canceled.

Further, as shown in FIG. 3 (c), after a fall detection (ignoring a predetermined delay time), a relatively slow and small body movement (small body movement) is performed to some extent until the cancellation determination time elapses. If the detection is continued, the cancellation processing unit 17 automatically cancels the fall detection. For example, a section in which the acceleration change amount H per unit time is less than a first threshold (for example, 40 m / sec ² ) and greater than or equal to a ^second threshold (for example, 10 m / sec ² ) is counted. When it is detected (for example, 10 times) or more, or when the total value obtained by integrating the acceleration change amount H in the cancel determination time exceeds a certain value (for example, 150 m / sec ² ), the fall detection is automatically canceled.

In this way, the cancellation processing unit 17 detects the first body movement and the second body movement (continuous body movement smaller than the first body movement), and the first body movement or the second body movement is detected. Cancel the fall detection. Specifically, the cancellation processing unit 17 detects a body motion in which the user's acceleration change amount H is equal to or greater than a reference amount (for example, 40 m / sec ² ) as the first body motion, and the user's acceleration change amount H is the reference amount. Continuous body movement smaller than the amount (for example, 40 m / sec ² ) is detected as the second body movement.

Further, the cancellation processing unit 17 obtains an acceleration change amount H for each predetermined time interval (for example, 1 second) from the acceleration data, and the acceleration change amount H is equal to or greater than a reference amount (for example, 10 m / sec ² ) in the cancel determination time. May be detected as the second body movement when there are a predetermined number (for example, 10) or more. Alternatively, the cancellation processing unit 17 may detect the second body movement when the integrated value of the acceleration change amount H in the cancellation determination time is a predetermined value (for example, 150 m / sec ² ) or more.

Further, the cancellation processing unit 17 obtains an acceleration change amount for each predetermined time interval (for example, 1 second) from the acceleration data, and the acceleration change amount H is the first reference value (for example, 40 m / sec ² ) at the cancel determination time. You may detect as a 1st body movement, when the above area has more than 1st predetermined number (for example, 1 piece). In addition, the cancellation processing unit 17 has a second predetermined number (for example, the number of sections where the acceleration change amount H is equal to or larger than the second reference value (for example, 10 m / sec ² ) smaller than the first reference value during the cancellation determination time). If there are 10) or more, the second body movement may be detected.

  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 the fall of the user from the 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). When the general movement is detected after the fall (S5), the fall flag is turned OFF (S6). Also, when a continuous small body motion is detected after a fall (S7), the fall flag is turned OFF (S6). The above processing (steps S4 to S7) is repeated until the cancellation time elapses. When neither the main body motion nor the continuous small body motion is detected (S8), the fall abnormality is determined (S9).

  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. At this time, the user's body movement is detected from the acceleration data, and a large body movement (first body movement) or a small continuous body movement (second body movement) is detected in a predetermined cancellation determination time after the fall detection. If this happens, the fall detection is automatically canceled.

  Therefore, since automatic cancellation is performed when large body movement is detected after the fall is detected, the fall detection is canceled promptly in situations where it is clear that the risk is low, such as walking after the fall. . In addition, even if small continuous body movement is detected after a fall is detected, even if the movement after the fall is relatively small and slow, there is a risk that the movement will continue for a while. The fall detection is canceled when it is confirmed that the state is low. Thus, when canceling the fall detection, appropriate automatic cancellation can be performed according to the user's body movement.

  In the present embodiment, a large body motion (a body motion in which the user's acceleration change amount is greater than or equal to a predetermined reference amount) is appropriately detected as the first body motion. Further, small continuous body movement (continuous body movement in which the user's acceleration change amount is smaller than the reference amount) is appropriately detected as the second body movement.

  Further, in the present embodiment, when there are a predetermined number or more of intervals (temporal intervals) in which the acceleration change amount is greater than or equal to the reference amount, appropriate as the second body movement (small continuous body movement). Detected.

  Further, in the present embodiment, when the integrated value of the acceleration change amount at the cancellation determination time is equal to or greater than a predetermined value, it is appropriately detected as the second body movement (small continuous body movement).

  In the present embodiment, the first body movement (large body movement) is performed when there is a section (temporal section) in which the acceleration change amount is greater than or equal to the first reference value within a first predetermined number within the cancellation determination time. Appropriately detected. In addition, when there are more than a second predetermined number (a predetermined number greater than the first predetermined number) than the second predetermined value (a predetermined number greater than the first predetermined number), the acceleration change amount is equal to or greater than the second reference value (a reference value smaller than the first reference value). Two body movements (small continuous body movements) are appropriately detected.

  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 an effect that it is possible to automatically cancel the fall detection appropriately according to the user's body movement, and the monitoring system for detecting the fall of the elderly Is 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 judging means for detecting the fall of the user from the motion data and judging the fall of the user;
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,
With
The cancellation processing means includes
Detecting a predetermined first body motion and a second body motion that is smaller than the first body motion, and canceling the fall detection when the first body motion or the second body motion is detected. A fall detection terminal. The cancellation processing means includes
A body movement in which the user's movement change amount is a predetermined reference amount or more is detected as the first body movement, and a continuous body movement in which the user's movement change amount is smaller than the reference amount is used as the second body movement. The fall detection terminal according to claim 1 to detect. The cancellation processing means includes
The motion change amount is obtained for each predetermined time interval from the motion data, and is detected as the second body motion when there are a predetermined number or more of the motion change amount equal to or more than the reference amount in the cancellation determination time. The fall detection terminal according to claim 2.   The fall detection terminal according to claim 2, wherein the cancellation processing means detects the second body movement when an integrated value of the movement change amount at the cancellation determination time is a predetermined value or more.   The cancellation processing unit obtains the motion change amount for each predetermined time interval from the motion data, and the cancel determination time includes a first predetermined number or more of the intervals where the motion change amount is equal to or greater than a first reference value. And when there is a second predetermined number or more greater than the first predetermined number in the cancellation determination time, the movement change amount is equal to or greater than a second reference value smaller than the first reference value. The fall detection terminal according to claim 2, wherein the fall detection terminal is detected as the second body movement. 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 movement of the fall detection terminal and outputs movement data,
The program detects a fall of the user from the motion data to a computer, and performs a fall abnormality determination for judging a fall abnormality of the user;
The body motion of the user is detected from the motion data, and if a predetermined body motion is detected at a predetermined cancellation determination time after the fall detection by the process of performing the fall abnormality determination, the fall detection is canceled. Processing,
And execute
In the canceling process,
Detecting a predetermined first body motion and a second body motion that is smaller than the first body motion, and canceling the fall detection when the first body motion or the second body motion is detected. A featured program.

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