JP2016177437A - Fall detection terminal and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a fall detection terminal capable of performing appropriate automatic cancellation in consideration of spasm after a fall.SOLUTION: A fall detection terminal 1 comprises: an acceleration sensor 2 that detects the movement of a user to output acceleration data indicating the movement of the 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 prohibits cancellation if a pattern of the body movement in the cancellation determination time matches a specific pattern indicating a body movement caused by spasm.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, 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 a fallen person causes convulsions, the body movement due to the convulsions may be detected and the fall detection may be automatically canceled erroneously.

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

  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 movement is detected within the determination time, and the cancellation processing means has a body movement pattern due to convulsions in the cancellation determination time. If the specified pattern is matched, the cancellation is prohibited.

  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. At this time, if the body movement pattern at the cancellation determination time matches a pattern (specific pattern) indicating body movement due to convulsions, cancellation of the fall detection is prohibited. Therefore, even if body movement is detected after the fall is detected, if it is a small body movement that seems to be convulsions, automatic cancellation is not performed and the fall abnormality is determined. Thus, when canceling the fall detection, appropriate automatic cancellation can be performed in consideration of the convulsions after the fall.

  In the fall detection terminal of the present invention, the cancellation processing unit may determine that the specific pattern matches the specific pattern when body movements greater than or equal to a predetermined reference are detected at a frequency exceeding a predetermined reference frequency.

  With this configuration, when body movements exceeding a predetermined reference are detected at a frequency exceeding a predetermined reference frequency, it is determined that the specific pattern (a pattern indicating body movement due to convulsions) is detected, and cancellation of fall detection is appropriately prohibited. The

  In the fall detection terminal of the present invention, the cancellation processing means detects the presence or absence of body movement above the predetermined reference for each predetermined time interval, and the section in which body movement above the predetermined reference is detected. When there is a predetermined number or more within the cancellation determination time, it may be determined that the specific pattern is met.

  With this configuration, when there are a predetermined number of sections in which the body motion exceeding the predetermined standard is detected within the cancellation determination time, it is determined that the specific pattern (pattern indicating body motion due to convulsions) is met, and the fall detection is appropriately cancelled. Prohibited.

  In the fall detection terminal of the present invention, the fall detection terminal further includes an altitude sensor that detects altitude, and the cancellation processing means matches the pattern of body movement at the cancellation determination time with the specific pattern, And when the altitude change in the cancellation determination time is less than a predetermined value, the cancellation may be prohibited.

  With this configuration, if the pattern of body movement at the cancellation determination time matches a specific pattern (pattern showing body movement due to convulsions) and the altitude change at the cancellation determination time is less than a predetermined value, cancellation of fall detection is prohibited Is done. In the case of convulsions after a fall, there is little change in altitude. Therefore, by using the altitude change as a reference, appropriate automatic cancellation can be performed in consideration of convulsions after a fall.

  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, determines a fall of the user, and detects the user's body movement from the motion data; When the predetermined body movement is detected within a predetermined cancellation determination time after the fall detection by the process of performing the fall abnormality determination, the process of canceling the fall detection is executed, and in the canceling process, When the pattern of body movement at the cancellation determination time matches a specific pattern indicating body movement due to convulsions, the cancellation is prohibited.

  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. At this time, if the body movement pattern at the cancellation determination time matches a pattern (specific pattern) indicating body movement due to convulsions, cancellation of the fall detection is prohibited. Therefore, even if a body motion is detected after the fall is detected, if it is a small body motion that seems to be convulsions, automatic cancellation is not performed. Thus, when canceling the fall detection, appropriate automatic cancellation can be performed in consideration of the convulsions after the fall.

  According to the present invention, it is possible to perform appropriate automatic cancellation in consideration of convulsions after a fall.

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 data at the time of causing convulsion 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, 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.

  In the cancellation processing unit 17, an automatic cancellation process is performed in consideration of convulsions after a fall. Specifically, the cancellation processing unit 17 executes the automatic canceling process when the body movement is caused by convulsions even when the body movement is detected such that the automatic cancellation process is performed. do not do.

  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 body movement due to convulsions (convulsion determination processing) is executed. For example, when acceleration changes occur frequently (that is, at a high frequency), or when relatively small acceleration peaks occur frequently, it is determined that the body motion is likely to occur.

  In this case, the presence / absence of an altitude change (whether there has been an altitude change greater than a predetermined altitude difference) may be confirmed from the output of the altitude sensor 4. If the change in acceleration indicates body movement that seems to be convulsions and there is almost no difference in altitude between when the fall is detected (or at the start of the cancellation determination time) and after the cancellation determination time has elapsed, it is determined that the movement is due to convulsions. Is done.

  In this way, even when the body movement that is the target of the automatic cancellation process is detected when the cancellation determination time has elapsed, the cancellation processing unit 17 performs body movement due to convulsions (body to be excluded from the automatic cancellation process). If it is determined that the automatic cancel process is performed, the automatic cancel process is prohibited.

FIG. 3 is a diagram illustrating an example of acceleration data when a convulsion occurs after a fall. For example, when a certain time interval (for example, a 1 second interval) is counted as a peak of acceleration equal to or greater than a predetermined value (for example, 12 m / sec ² ), the number of such peaks is equal to or greater than a predetermined number (for example, 3). Then, turn on the flag. Similar processing is executed for all sections (for example, section 1, section 2,..., Section n) included in the cancellation determination time. When the cancellation determination time has elapsed and the number of flags is a predetermined number (for example, 10) or more and the altitude difference is less than a predetermined value (for example, 0.5 m), body movement due to convulsions Judge that there is. If it is determined that the movement is due to convulsions, the cancellation processing unit 17 does not perform automatic cancellation processing, and the fall determination unit 16 determines the fall abnormality.

  The altitude difference condition may be omitted. That is, when the cancellation determination time has elapsed, if the number of flags is a predetermined number (for example, 10) or more, it may be determined that the body movement is due to convulsions. Further, the fall determination unit 16 may determine the fall abnormality when it is determined that the body movement is caused by convulsions without waiting for the cancellation determination time.

  As described above, the cancel processing unit 17 prohibits automatic cancellation of the fall detection when the pattern of the body movement at the cancellation determination time matches the pattern (specific pattern) indicating the body movement due to the convulsions. In addition, the cancellation processing unit 17 automatically detects the fall when the pattern of body movement at the cancellation determination time matches the specific pattern and the altitude change at the cancellation determination time is less than a predetermined value (for example, less than 0.5 m). Cancellation may be prohibited.

In this case, the cancel processing unit 17 determines that the specific pattern matches the specific pattern when body movements of a predetermined reference (for example, 12 m / sec ² ) or more are detected at a frequency exceeding a predetermined reference frequency. Specifically, the cancellation processing unit 17 detects the presence or absence of body movements greater than or equal to a predetermined reference (for example, 12 m / sec ² ) for each predetermined time interval (for example, one second period), When there is a predetermined number (for example, 10) or more sections within the cancel determination time, it is determined that the specific pattern matches.

  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). In addition, a convulsions determination process is performed to determine whether the user's body movement is a body movement due to convulsions from the acceleration data (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). If no body movement is detected, the overturn abnormality is determined without performing the automatic canceling process (S8). If a body movement is detected, it is determined whether or not it is a body movement due to convulsions (S9). If it is determined that the body movement is not caused by convulsions, an automatic cancellation process is performed to turn the fall flag OFF (S10). On the other hand, if it is determined that the body movement is due to convulsions, the fall abnormality is determined without performing the automatic canceling process (S8).

  According to such a fall detection terminal 1 of the present embodiment, motion data indicating the user's movement is acquired by the motion sensor, and whether or not the user has fallen is detected from the movement data. Is determined. 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. At this time, if the body movement pattern at the cancellation determination time matches a pattern (specific pattern) indicating body movement due to convulsions, cancellation of the fall detection is prohibited. Therefore, even if a body motion is detected after the fall is detected, if it is a small body motion that seems to be convulsions, automatic cancellation is not performed. Thus, when canceling the fall detection, appropriate automatic cancellation can be performed in consideration of the convulsions after the fall.

  Further, in the present embodiment, when body motion that exceeds a predetermined reference frequency is detected at a frequency that exceeds a predetermined reference frequency, it is determined that the movement matches a specific pattern (a pattern indicating body motion due to convulsions), and the fall detection is canceled. Properly prohibited.

  Further, in the present embodiment, when there are a predetermined number or more of sections in which the body movement exceeding the predetermined reference is detected within the cancellation determination time, it is determined that the specific pattern (pattern indicating body movement due to convulsions) is met, and falls are detected. Cancellation is appropriately prohibited.

  In the present embodiment, the fall detection is performed when the pattern of body movement at the cancellation determination time matches a specific pattern (pattern indicating body movement due to convulsions) and the altitude change at the cancellation determination time is less than a predetermined value. Cancellation of is prohibited. In the case of convulsions after a fall, there is little change in altitude. Therefore, by using the altitude change as a reference, appropriate automatic cancellation can be performed in consideration of convulsions after a fall.

  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 of being able to perform appropriate automatic cancellation considering the convulsions after the fall, and is used in a monitoring system or the like 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 (5)

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 fall detection terminal, wherein the cancellation processing means prohibits the cancellation when the pattern of body movement at the cancellation determination time matches a specific pattern indicating body movement due to convulsions.   The fall detection terminal according to claim 1, wherein the cancel processing means determines that the specific pattern matches the specific pattern when body movements greater than or equal to a predetermined reference are detected at a frequency exceeding a predetermined reference frequency.   The cancellation processing means detects the presence or absence of body movements greater than or equal to the predetermined reference for each predetermined time interval, and there are a predetermined number or more of the intervals in which body movements greater than or equal to the predetermined reference are detected within the cancellation determination time. The fall detection terminal according to claim 2, wherein the fall detection terminal is determined to match the specific pattern. The fall detection terminal further includes an altitude sensor for detecting altitude,
The cancellation processing means prohibits the cancellation when a pattern of body movement at the cancellation determination time matches the specific pattern and an altitude change at the cancellation determination time is less than a predetermined value. The fall detection terminal according to any one of 3 above. 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 in a computer, and determines a fall abnormality of the user;
If the predetermined body movement is detected within a predetermined cancellation determination time after the fall detection by the process of detecting the fall of the user from the motion data and performing the fall abnormality determination, the fall detection is canceled. Processing to
And execute
In the canceling process,
A program that prohibits the cancellation when a pattern of body movement at the cancellation determination time matches a specific pattern indicating body movement due to convulsions.

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