WO2016068513A1 - Procédé de détection de chute - Google Patents
Procédé de détection de chute Download PDFInfo
- Publication number
- WO2016068513A1 WO2016068513A1 PCT/KR2015/010655 KR2015010655W WO2016068513A1 WO 2016068513 A1 WO2016068513 A1 WO 2016068513A1 KR 2015010655 W KR2015010655 W KR 2015010655W WO 2016068513 A1 WO2016068513 A1 WO 2016068513A1
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- WIPO (PCT)
- Prior art keywords
- measured
- fall
- value
- specific variable
- user
- Prior art date
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0446—Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
Definitions
- the present invention relates to a fall detection method, and more particularly, to a fall detection method that is worn on the user's body to detect it before colliding with the floor in the case of fall and allow additional protective equipment to operate.
- Health care services are emerging to help people live in their lives.
- the proportion of the elderly and the elderly who are inconvenient to move is increasing, complementing the manpower and systems that can care for and manage them. This is required.
- the existing fall detection method it can be classified into three types that fall into the image-based fall detection method, the fall detection method by the combination of the sensor installed at the point where the fall of the patient occurs.
- An image-based fall detection method is a method of obtaining image data through an imaging device and processing the signal using a signal processing technique to find out whether a fall has occurred. It is sensitive to lighting, and when the patient is covered by an external material such as a blanket, it is difficult to determine the exact position of the patient, and precise detection is difficult because it detects the fall in an indirect manner through signal processing.
- the method of detecting the fall of the patient by using a combination of sensors installed at the point where the fall of the patient occurs there is a disadvantage that it is difficult to implement the accuracy of the fall detection is vulnerable to disturbance factors due to the external material around the bed.
- the existing fall detection system is used as a system for notifying a nurse by text message when a sick old person falls in a bed in some hospitals, but a camera and its attached control device, or a plurality of sensors and its attached parts. Since installation and professional management of special devices including control devices are required, there is a limitation that it is difficult to use them in a general home.
- the fall detection method has a problem of not only protecting the user by fundamentally detecting the fall of the user and operating a protective device before the collision with the floor, but only having a function of informing the fall after the fall accident.
- the present invention is to solve the conventional problems, through the inertial sensor mounted on the user's body to set the threshold value of a specific variable measured when the user falls and compare it with the measured value continuously measured in the inertial sensor This is to provide a fall detection method that detects the fall of the user before colliding with the floor.
- the present invention relates to a fall detection method for detecting the fall before the collision with the user when the user falls, collision with the floor using the first measurement value measured by the inertial sensor worn by the tester
- Comparing step of continuously comparing the second measurement value of the specific variable measured by the inertial sensor, if the second measurement value measured in the comparison step is greater than the threshold value by using a separate control unit the user collided with the floor A judgment step for determining a fall previously.
- the setting step is a first step of deriving a specific variable by using a value that changes depending on whether the fall of the first measurement value measured by the inertial sensor worn by the investigator of the specific variable derived in the first step And a second step of deriving a threshold value of the specific variable capable of determining whether or not a fall occurs using the first measured value.
- the first step may be characterized by deriving a correlation coefficient of the first measured value, which varies according to the fall of the tester, to a value that is greater than or equal to a preset allowable range as the specific variable.
- the specific variable may be at least one of a sum of accelerations, an acceleration according to a change in an up and down direction, an angle change, and an average angular velocity among values measured by the inertial sensor.
- the second measurement value may compare the specific variable independently with each of the threshold values, and when the value of at least one or more of the specific variables is greater than or equal to the threshold value, the controller may determine that a fall occurs. .
- the threshold value may be specified as a range between the first measurement value of the specific variable measured during the normal exercise of the tester and the first measurement value of the specific variable measured when the tester falls. .
- the method may further include a section derivation step of deriving a separate measurement section which is a section before the collision with the floor from the start of the fall, and measuring the first measurement value and the second measurement value in the measurement section. Can be.
- the measurement section may be a section in which the acceleration measured by the inertial sensor decreases.
- the universally applicable fall detection method according to the present invention has the following effects.
- the user measures the measured values of the user's normal exercise state and the falling state through the inertial sensor, and compares each measured value with the preset threshold value from the start of the fall before the collision with the floor.
- FIG. 1 is a view showing a state in which the protective device is operated before the user hits the floor by the fall detection method according to the present invention
- FIG. 2 is a view illustrating a change in acceleration detected by an inertial sensor during a fall in the fall detection method of FIG. 1;
- FIG. 3 is a view illustrating a process of detecting the fall according to whether a user falls by the fall detection method of FIG. 1;
- FIG. 4 is a diagram illustrating a specific variable derived from first measured values detected by an inertial sensor in the fall detection method of FIG. 1;
- FIG. 5 is a diagram illustrating an example of a threshold value of a specific variable measured according to whether or not a fall occurs in the fall detection method of FIG. 1.
- the present invention is a method for preventing injuries by protecting the buttocks of the user by being worn on the user's body in advance before the collision with the floor when falling, and by operating a separate protective device through this.
- FIG. 1 is a view illustrating a state in which a protective device is operated before a user collides with a floor by a fall detection method according to the present invention
- FIG. 4 is a diagram illustrating a specific variable derived from first measured values detected by the inertial sensor in the fall detection method of FIG. 1
- FIG. 5 is a threshold of a specific variable measured according to the fall in the fall detection method of FIG. 1.
- the fall detection method according to the present invention includes a setting step, a comparison step and a determination step.
- the setting step derives a specific variable that changes before impact with the floor using the first measurement value measured by the inertial sensor worn by the tester.
- a threshold value for determining whether a user falls is set by using the derived specific variable.
- the inertial sensor is attached to the body of the user or the tester and configured to continuously measure the first and second measured values, which are exercise information, and is preferably located at the center of the lower abdomen of the user.
- the setting step is a first step of deriving a specific variable by using a value that changes depending on whether the fall of the first measurement value measured by the inertial sensor worn by the tester.
- the inertial sensor measures the first measured value including variables such as acceleration, tilt angle change, and angular velocity of each of the X, Y, and Z axes during the tester's movement.
- the first measurement value is measured even in the normal movement of the user, and when the user falls, the first measurement value for some of the above-described variables is changed.
- the inertial sensor continuously measures the first measurement value in both the normal movement of the user and the movement of the user when the user falls.
- the specific variable is derived by using a value that changes according to whether a user falls among the first measured values measured by the inertial sensor measured as described above.
- the specific variable is derived as values having a relatively high correlation coefficient among various variables measured by the inertial sensor.
- a value having a correlation coefficient of 0.7 or more among values repeatedly measured by the inertial sensor is derived as the specific variable.
- the specific variable may be derived based on a coefficient higher or lower than 0.7, and as the correlation coefficient is higher, the deviation of the first measured value repeatedly measured by the inertial sensor decreases, thereby increasing reliability. It means higher.
- the specific variables derived as described above may be the sum of the accelerations, the acceleration according to the change in the vertical direction, the angular change, and the average angular velocity among the values measured by the inertial sensor, using at least one of the specific variables. In the comparison step to be described later can determine whether the user falls
- the specific variables derived from the first measured values measured by the inertial sensors are variables that show a linearly larger change than other variables during the fall in the stationary state, and their correlation coefficient is also very high. appear.
- the setting step includes a second step of deriving the threshold value of the specific variable from which the user can determine whether the user falls using the specific variable in the first measurement value derived in the first step. .
- the threshold value derived in the second step is prepared by the investigator wearing the inertial sensor and using the specific variable of the first measured value measured in the normal exercise state and the fall state, respectively.
- the first measured value of the specific variable is derived.
- FIG 5 illustrates an example of the first measured value (not shown) measured by the inertial sensor, respectively, when the tester falls among the specific variables and when normal exercise such as walking and running is performed. In this case, the sum of the accelerations in the first measured value is shown.
- the first measurement value indicates a value measured according to various exercise cases by a separate tester other than the user wearing the inertial sensor, and the same as the second measurement value described later in the first measurement value Variables can be derived.
- the threshold may be set for each of the specific variables derived from the first measured value.
- the sum of accelerations among the specific variables derived from the first measurement value is measured in a state such as Free Fall, Slider Fall, Walking, Running, Lean, and the like.
- the minimum value of the first measured value measured at the time of falling with respect to the specific variable of the first measured value measured as described above is set as the threshold value.
- the threshold value derived as described above is input to a separate controller as a preset value, and serves as a reference for comparing the second measured value continuously measured for a user's exercise later.
- the threshold value may be specified as a range between the first measured value of the specific variable measured during the normal exercise of the tester and the first measured value of the specific variable measured when the tester falls. It may be specified based on the minimum value of the first measured value of the specific variable measured at the fall of.
- the specific variable is derived from the first measured value measured by a tester, and the first measured value for each specific variable is measured according to whether the user falls. To derive.
- the comparing step continuously compares the threshold value derived in the setting step with the second measurement value of the specific variable measured by the inertial sensor worn on the user's body.
- the specific variables derived from the second measured values are respectively compared corresponding to the specific variables of the threshold value.
- the comparing step derives the specific variable using the second measured value measured by the inertial sensor, and compares each specific variable with the specific variable of the preset threshold.
- the second measured value compares the specific variable independently with each of the threshold values, and if the value of at least one or more of the specific variables is greater than or equal to the threshold value, the second controller determines that a fall occurs.
- the specific variable may be composed of a plurality of variables and is preferably configured to correspond to the threshold value.
- the determination step determines whether the fall before the user collides with the floor through a separate control unit.
- the determining may include receiving a result of comparing the preset threshold value and the second measurement value measured by the inertial sensor for each specific variable and receiving at least one of the specific variable of the second measurement value. If the threshold value is exceeded, the user recognizes that he is falling and delivers it to a separate protective device for driving.
- the detection method according to the present invention sets the threshold value for each of the specific variables by using the first measured value collected through a repetitive experiment of a tester, and the second measured value is measured by a user's exercise later. By comparing the two measured values and the specific variable for the threshold value, the fall of the user can be detected before the user collides with the floor.
- the user can be protected by interlocking with a separate protective device according to the detection of the fall of the user.
- the user and the tester may be the same person or may be different people.
- the present invention may further include a section derivation step of deriving a separate measurement section that is a section before the collision with the floor from the start of the fall of the user and the first measurement value and the second measurement value in the measurement section Can be derived.
- FIG. 2 it is a graph showing a change in acceleration among the specific variables measured by the inertial sensor when the user falls, and it can be seen that the acceleration decreases before the collision with the floor from the start point of falling.
- the measurement section is a section in which the acceleration measured by the inertial sensor decreases and is a section between point A and point C in the graph of FIG. 3.
- the measurement section is derived from the section derivation step, and the controller determines whether the user falls by using a value corresponding to the measurement section among the first and second measurement values measured by the inertial sensor. You can judge.
- the controller detects a fall from the start point A to the point C which is the time when the collision with the floor occurs.
- the value is set to the value corresponding to point B.
- the controller detects the fall and determines the fall and transmits it to the external device.
- the fall detection method according to the present invention is attached to the user's body and detects the fall of the user through the change of the second measurement value measured by the inertial sensor, and a separate protective device before colliding with the floor during the fall Can be deployed to protect the user's body.
- the fall detection method of the present invention configured as described above may detect the fall of the user before the collision with the floor, and may be applied to a separate fall protection device having the above-described protective equipment.
- the configuration of the fall protection device is briefly described.
- the inertial sensor and the controller are included in a case configured to be directly worn by a user.
- Protective equipment is provided.
- the inertial sensor detects this, and the protective device 200 accommodated by the controller expands to cover the buttocks of the user.
- the case 100 is formed in the form of a belt as shown, so that it can be worn on the user's waist, the inertial sensor, the control unit and the protective device 200 is accommodated therein.
- the fall protection device configured as described above may detect the user's fall from the inertial sensor by the fall detection method according to the present invention and prevent the injury of the user by operating the protective device 200 through the control unit.
- the protective device 200 is formed in the form of an air bag to protect the user's body by inflating when detecting the fall of the user.
- the operation process of the fall detection method according to the present invention is shown.
- the inertial sensor is attached to a separate tester to measure the first measured value in the fall motion and the normal motion, respectively.
- the specific variable is derived from the first measured value (S01).
- each threshold value is derived from the measured value of the specific variable (S02), and the derived threshold value is input to the controller (S03).
- the tester and the user may be the same person or different people
- the threshold value input to the control unit by the first measurement value is the second measurement value measured according to the user's normal movement It may be configured to enable continuous feedback using.
- the inertial sensor and the protective device according to the present invention are mounted on the user's body while the threshold value is input to the controller as described above (S04).
- the second measurement value for the user's movement is continuously measured by the inertial sensor installed in the user's body (S05).
- the second measured value continuously measured by the inertial sensor is independently compared with the threshold value preset in the comparing step according to each specific variable (S06).
- the controller determines whether at least one particular variable of the second measured values compared in the comparison step is equal to or greater than the threshold value (S07).
- the controller determines that the user is falling and drives the built-in protective device 200 before the collision with the floor ( S08).
- the controller continuously measures the second measured value by the inertial sensor without any other operation.
- control unit is configured to determine that the user is in a fall if at least one or more of the specific variable of the second measured value is larger than the specific variable of the threshold value. It may be configured to determine a fall only when the plurality of specific variables is not one but more than the threshold value.
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Abstract
La présente invention concerne un procédé de détection de chute pour détecter une chute avant qu'un utilisateur entre en collision avec le sol lorsque l'utilisateur tombe. La présente invention concerne un procédé de détection de chute comprenant : une étape de configuration consistant à dériver une variable spécifique changeant avant une collision avec le sol en utilisant une première valeur de mesure mesurée par un capteur d'inertie porté par un testeur, et à dériver une valeur seuil susceptible de déterminer si l'utilisateur est tombé en utilisant la variable spécifique ; une étape de comparaison consistant à comparer de manière continue la valeur seuil dérivée dans l'étape de configuration et une seconde valeur de mesure de la variable spécifique, mesurée par le capteur d'inertie porté sur le corps de l'utilisateur ; et une étape de détermination consistant à déterminer une chute avant que l'utilisateur entre en collision avec le sol à l'aide d'une unité de commande distincte lorsque la seconde valeur de mesure mesurée dans l'étape de comparaison est égale ou supérieure à la valeur seuil.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201580059586.1A CN107077775A (zh) | 2014-10-29 | 2015-10-08 | 跌倒检测方法 |
Applications Claiming Priority (2)
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KR10-2014-0148142 | 2014-10-29 | ||
KR1020140148142A KR101666153B1 (ko) | 2014-10-29 | 2014-10-29 | 낙상 감지방법 |
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WO2016068513A1 true WO2016068513A1 (fr) | 2016-05-06 |
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PCT/KR2015/010655 WO2016068513A1 (fr) | 2014-10-29 | 2015-10-08 | Procédé de détection de chute |
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KR (1) | KR101666153B1 (fr) |
CN (1) | CN107077775A (fr) |
WO (1) | WO2016068513A1 (fr) |
Families Citing this family (2)
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KR102357196B1 (ko) | 2019-09-20 | 2022-01-28 | 한국전자통신연구원 | 보행 분석 장치 및 방법 |
CN110992649B (zh) * | 2019-12-18 | 2022-11-22 | 西南交通大学 | 一种用于判断行动中跌倒状态的方法 |
Citations (5)
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KR20080050993A (ko) * | 2006-12-04 | 2008-06-10 | 한국전자통신연구원 | 낙상 감지 장치 및 그 방법과 그를 이용한 낙상 구조서비스 시스템 및 그 방법 |
KR20100000317A (ko) * | 2008-06-24 | 2010-01-06 | 한국전자통신연구원 | 낙상 감지 장치 및 방법 |
KR101016610B1 (ko) * | 2010-12-14 | 2011-02-24 | 이화여자대학교 산학협력단 | 낙상사고 대비를 위한 공기주입형 스마트웨어 시스템 |
KR20110073172A (ko) * | 2009-12-21 | 2011-06-29 | 한국전자통신연구원 | 손목 착용형 낙상 감지 장치 및 방법과 이를 이용한 낙상 감지 시스템 |
KR20140119529A (ko) * | 2013-04-01 | 2014-10-10 | (주)아이엠테크놀로지 | 인체 보호 장치, 그리고 이의 동작 제어 시스템 및 방법 |
Family Cites Families (3)
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JP3925649B2 (ja) * | 2003-02-19 | 2007-06-06 | 独立行政法人科学技術振興機構 | 転倒検出方法及び転倒救助方法 |
CN102117533A (zh) * | 2011-03-11 | 2011-07-06 | 北京航空航天大学 | 人体跌倒检测保护与报警装置 |
CN202650197U (zh) * | 2012-07-09 | 2013-01-02 | 台州学院 | 一种防跌倒装置 |
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2014
- 2014-10-29 KR KR1020140148142A patent/KR101666153B1/ko active IP Right Grant
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2015
- 2015-10-08 CN CN201580059586.1A patent/CN107077775A/zh active Pending
- 2015-10-08 WO PCT/KR2015/010655 patent/WO2016068513A1/fr active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20080050993A (ko) * | 2006-12-04 | 2008-06-10 | 한국전자통신연구원 | 낙상 감지 장치 및 그 방법과 그를 이용한 낙상 구조서비스 시스템 및 그 방법 |
KR20100000317A (ko) * | 2008-06-24 | 2010-01-06 | 한국전자통신연구원 | 낙상 감지 장치 및 방법 |
KR20110073172A (ko) * | 2009-12-21 | 2011-06-29 | 한국전자통신연구원 | 손목 착용형 낙상 감지 장치 및 방법과 이를 이용한 낙상 감지 시스템 |
KR101016610B1 (ko) * | 2010-12-14 | 2011-02-24 | 이화여자대학교 산학협력단 | 낙상사고 대비를 위한 공기주입형 스마트웨어 시스템 |
KR20140119529A (ko) * | 2013-04-01 | 2014-10-10 | (주)아이엠테크놀로지 | 인체 보호 장치, 그리고 이의 동작 제어 시스템 및 방법 |
Also Published As
Publication number | Publication date |
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CN107077775A (zh) | 2017-08-18 |
KR20160052879A (ko) | 2016-05-13 |
KR101666153B1 (ko) | 2016-10-18 |
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