WO2017049957A1 - Appareil intelligent de détection des chutes et d'émission d'alarme en cas de chute et procédé de traitement associé - Google Patents

Appareil intelligent de détection des chutes et d'émission d'alarme en cas de chute et procédé de traitement associé Download PDF

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WO2017049957A1
WO2017049957A1 PCT/CN2016/084729 CN2016084729W WO2017049957A1 WO 2017049957 A1 WO2017049957 A1 WO 2017049957A1 CN 2016084729 W CN2016084729 W CN 2016084729W WO 2017049957 A1 WO2017049957 A1 WO 2017049957A1
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Prior art keywords
data
signal
module
fall
wearing
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PCT/CN2016/084729
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English (en)
Chinese (zh)
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乔丽军
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广东乐源数字技术有限公司
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116—Determining posture transitions
    • A61B5/1117—Fall detection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6825—Hand
    • A61B5/6826—Finger
    • 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

Definitions

  • the invention relates to an intelligent security product, in particular to an intelligent fall monitoring device and a processing method thereof.
  • the general detection method for fall detection technology is to use the acceleration sensor to detect the sharp change signal when the body collides with the ground during the fall and a relatively static signal that cannot move for a period of time after the fall. Falling down and alerting, this facilitates the fall monitoring of the elderly.
  • the fall detection device based on acceleration and angle detection does not fully take into account factors such as the characteristics of human exercise behavior, and cannot distinguish between running and jumping, bending, and the like, so that the false positive rate is high.
  • the current fall detection device does not solve the problem of false alarms caused by accidental or accidental disengagement of the device.
  • an intelligent fall monitoring device includes: an alarm module, a signal acquisition module, and a signal processing module, wherein
  • the signal acquisition module includes a three-axis acceleration sensor, a barometric pressure sensor and a pressure sensor for collecting real-time data of body posture, barometric altitude data and pressure data;
  • the signal processing module includes a fall detection unit, and the fall detection unit is configured to perform analysis processing according to the collected human body posture real-time data, barometric altitude data, and pressure data to determine a human body fall state, and output when determining that the human body falls.
  • the alarm module generates and outputs alarm information according to the first signal.
  • the monitoring device of the present invention drops by collecting triaxial acceleration, altitude and pressure data Inverted detection, taking into account the behavioral characteristics of the human body and other environmental characteristics, the correct rate of fall detection is higher.
  • the signal acquisition module is further configured to collect device wearing information
  • the signal processing module may further include a device wearing detecting unit configured to perform analysis processing according to the device wearing information, and output the wearing a status indicator; the fall detection unit detects a fall state of the human body and outputs a first signal to the alarm module according to the output wearing status identifier; wherein the device wearing information includes a triaxial acceleration signal, a wearing part pressure signal, A combination of one or more of a temperature signal and a human bioelectrical signal. Therefore, it can be detected whether the wearing direction and/or the wearing position of the device is correct, and the fall detection is performed when the device is worn correctly, thereby achieving the defect of avoiding false alarm caused by incorrect wearing, and further improving the accuracy of the fall detection.
  • the signal acquisition module further includes a temperature sensor and/or a human bioelectric sensor
  • the device wearing detection unit is configured according to an acceleration signal collected by the triaxial acceleration sensor, a pressure signal collected by the pressure sensor,
  • the combination of one or more of the temperature signal collected by the temperature sensor and the human bioelectrical signal collected by the human bioelectric sensor performs an analysis process and outputs a wearing status indicator.
  • the apparatus further includes a positioning module and a wireless communication module, the positioning module acquiring location information of the monitoring device, and the alarm module transmitting alarm information including location information to the remote terminal through the wireless communication module.
  • the guardian can be notified in time when the risk of falling occurs, and the location information can be provided to the guardian for effective and timely assistance.
  • the signal processing module further includes a post-fall state detecting unit configured to detect a human body state after the fall according to the data collected by the signal collecting module.
  • the second module is sent to the alarm module, and the alarm module sends the information about the fallout to the remote terminal through the wireless communication module according to the second signal. Therefore, the processing situation after the user falls can be further detected, so that the guardian can be notified in time after the user leaves the fall state, which brings convenience to the guardian and effectively improves the user experience.
  • timely release of the alarm can reduce the consumption of the device in the alarm and reduce the power consumption of the device.
  • the alarm module includes activating a speaker for a voice broadcast according to the first signal and stopping the playing of the speaker distress signal according to the second signal. Therefore, it is possible to make a call for help to the surrounding people while notifying the guardian of the call for help. Those who get help in time, get out of danger and increase security.
  • the apparatus further includes a human-computer interaction module configured to receive user input through a touch screen, a button, or voice, to enter user basic information according to the user input, or to initiate the alarm module to perform a request for help or rescue. Therefore, the user can input the user information through the touch screen, so that the device can perform analysis and processing according to the user information, and can also realize the help of the user through the button to rescue or cancel the false alarm when the device detects the false alarm, which can effectively improve the user experience, and is quick and convenient. .
  • a human-computer interaction module configured to receive user input through a touch screen, a button, or voice, to enter user basic information according to the user input, or to initiate the alarm module to perform a request for help or rescue. Therefore, the user can input the user information through the touch screen, so that the device can perform analysis and processing according to the user information, and can also realize the help of the user through the button to rescue or cancel the false alarm when the device detects the false alarm, which can effectively improve the user experience, and is quick and convenient.
  • a method for processing a smart fall monitoring device includes an alarm module, a signal acquisition module, and a signal processing module, and the processing method includes:
  • the signal acquisition module collects user behavior information data in real time and outputs the data to the signal processing module, where the user behavior information data includes three-axis acceleration data, barometric altitude data, and pressure data;
  • the signal processing module performs analysis processing according to the user behavior information data to determine a human body fall state, and when determining that the human body falls, outputs a first signal to the alarm module;
  • the alarm module generates and outputs an alarm message according to the first signal.
  • the method of the invention performs fall detection by collecting triaxial acceleration, height and pressure data, comprehensively considering the behavior characteristics of the human body and other environmental characteristics, and the correct rate of fall detection is higher.
  • the information processing module performs an analysis process according to the user behavior information data, and determining that the human body falls state includes:
  • acceleration data collected by the three-axis acceleration sensor in a certain time interval, pressure height data collected by the air pressure sensor, and pressure data collected by the pressure sensor;
  • AY_2 the acceleration mean value of the human trunk direction in a period of time before the giant change and a period after the great change according to the time point of the macro change data.
  • AY_2 the sum of the triaxial acceleration changes over a period of time after the abrupt change, the ACC_SUM, the height difference H2-H1 of the human body before and after the giant change, and the sum of the pressure differences between the body side and the other side before and after the giant change ⁇
  • the three-axis acceleration is used to determine the posture change of the human body falling and lying down
  • the height data is used to determine the height change of the device from the ground
  • the wearing part is judged by the pressure data.
  • the weekly pressure change can be combined with the user's posture and behavior characteristics to more accurately detect whether the human body has fallen.
  • the step b includes:
  • the time when the human body falls can be judged, and the data before and after the fall can be obtained and compared to determine whether the human body has fallen.
  • the method may further include: the signal acquisition module real-time acquisition device wear information data is output to the signal processing module, the signal processing module performs analysis processing according to the device wearing information data, determines the wearing state of the device, and the output device is worn.
  • the status indicator the signal processing module reads the wearing status identifier to determine, when the wearing status indicator is correctly worn, performs human fall detection, and outputs a first signal to the alarm module. Therefore, when the device is correctly worn, the human body fall detection is performed, and the problem of false alarms caused by the device not being worn or worn incorrectly or falling down can be avoided, and the detection accuracy is further improved.
  • the user behavior information data collection and the human body fall detection are performed only when the device is properly worn, which can reduce unnecessary data processing operations, improve efficiency, and save power consumption.
  • the signal acquisition module further includes a temperature sensor and/or a human bioelectric sensor, wherein the device wearing information data includes temperature data, human bioelectrical signals, wearing part pressure data, and triaxial acceleration data.
  • the device wearing information data includes temperature data, human bioelectrical signals, wearing part pressure data, and triaxial acceleration data.
  • the device wearing information data includes temperature data, human bioelectrical signals, wearing part pressure data, and triaxial acceleration data.
  • the signal processing module performs one or a combination of two or more of the following A to D analysis processes according to the device wearing information data to generate And output device wear status indicator:
  • A. Read the temperature signal T1 of the temperature sensor close to the human body side and the temperature signal T2 of the device exposed to the air side. When it is judged that the temperature difference between T1 and T2 is greater than the set threshold, the wearing state indicator is set to be correctly worn. Otherwise, the wearing status indicator is set to be worn incorrectly;
  • the apparatus further includes a positioning module and a wireless communication module, the method further comprising: the positioning module collecting location information of the monitoring device, the alarm module transmitting alarm information to the remotely through the wireless communication module
  • the alarm information includes location information and help-seeking content acquired from the positioning module. Therefore, the location information and the fall for help content can be sent to the guardian in time to obtain timely and effective assistance.
  • the method can further include:
  • the signal acquisition module continuously collects and stores the three-axis acceleration data, the barometric altitude data, and the pressure data;
  • the signal processing module performs analysis processing according to the real-time updated three-axis acceleration data, the barometric altitude data, and the pressure data, and determines that the human body releases the fall state.
  • the second signal is sent to the alarm module, and the alarm module is The second signal transmits the information of the fallout to the remote terminal through the wireless communication module.
  • the signal processing module performs analysis processing according to the real-time updated triaxial acceleration data, the barometric altitude data, and the pressure data, and determines that the state of the human body to fall down includes:
  • the method may further include receiving a signal input through the button, playing/pausing the speaker alarm, and transmitting the help message/deactivation information to the remote terminal.
  • FIG. 1 is a schematic diagram showing the appearance of an intelligent human body fall monitoring device according to an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of a module frame of an intelligent human body fall monitoring device according to an embodiment of the present invention
  • FIG. 3 is a flowchart of a processing method of a smart human fall monitoring device according to an embodiment of the present invention
  • FIG. 4 is a flow chart of a method for detecting human fall in the method shown in FIG. 3;
  • FIG. 5 is a flowchart of a method for processing a smart human fall monitoring device according to another embodiment of the present invention.
  • FIG. 6 is a flow chart of a detecting method for correctly wearing the device in the method shown in FIG. 5;
  • FIG. 7 is a flowchart of a processing method of a smart human fall monitoring device according to another embodiment of the present invention.
  • FIG. 8 is a flow chart of a method for automatically exiting a fall mode in the method shown in FIG. 7;
  • Figure 9 is a line diagram of the triaxial acceleration data when the human body falls.
  • Fig. 1 schematically shows the appearance of an intelligent human fall monitoring device according to an embodiment of the present invention.
  • the device comprises a belt body 1 and a buckle 2, and the belt body 1 and the buckle 2 are fixedly connected at one end, and the other end can be fastened when the belt is fastened, and the connection and fastening manner are the same as the ordinary belt.
  • the buckle 2 is provided with a button 3, and the user can perform human-computer interaction by pressing the button 3.
  • the pressure sensor 5 of the monitoring device is evenly distributed along the belt body 1, and the remaining functional modules (such as other sensors of the signal acquisition module, signal processing module, positioning module, wireless communication module, etc.) are integrated in the integrated chip 4 in the buckle 2 on.
  • the user can perform daily monitoring of the user by wearing the belt shown in FIG. Because the belt belongs to most people's daily dress essentials, it is easy to carry, has no attachment, and is not easy to forget. It is very convenient.
  • Fig. 2 schematically shows the frame structure of each module of the device built into the belt body.
  • the device includes a signal processing module 20, a positioning module 21, a signal acquisition module 22, a wireless communication module 23, and an alarm module 24.
  • the positioning module 21 is implemented by using a positioning method such as a GPS or a Beidou or a mobile base station, and is used to provide geographic location information of the user.
  • the wireless communication module 23 is a chip or module that can communicate with the mobile terminal device through a wireless manner, such as a GSM communication unit or a Bluetooth communication unit, for implementing data interaction with a remote terminal (such as a mobile terminal, a computer, an IPad, etc.). .
  • the alarm module 24 is configured to send a corresponding alarm information (such as a help message) to the remote terminal through the wireless communication module 23 when receiving the first signal (such as a help signal) corresponding to the fall, to notify the guardian that the user needs to rescue the fall,
  • the corresponding help information may include geographic location information acquired by the positioning module 21 and specific help-seeking content.
  • the signal acquisition module 22 is configured to collect user behavior information data in real time, and provide the signal processing module 20 for human body fall detection analysis.
  • the signal acquisition module 22 is mainly implemented by various sensors, including but not limited to a three-axis acceleration sensor, a pressure sensor and a pressure sensor, a three-axis acceleration sensor for collecting body posture data, a pressure sensor for collecting barometric altitude data, and a pressure sensor for the pressure sensor. Collect pressure data.
  • the signal processing module 20 is a microprocessor such as an MCU.
  • the signal processing module 20 includes a fall detection unit 202, and the fall detection unit 202 is configured to collect human body posture data (including three axial acceleration data AX, AY, AZ), air pressure height data, and pressure data according to the signal acquisition module 22.
  • Performing a fall detection when it is determined that a fall occurs, outputting a distress signal (ie, a first signal) to the alarm module 24 to The alarm module 24 transmits the distress information to the remote terminal device of the guardian via the wireless communication module 23.
  • a distress signal ie, a first signal
  • the barometric height data will have a certain height difference before and after the fall, and the pressure data is close to the ground in the human body.
  • the one side and the side facing away from the ground may have a certain difference according to the force condition, and the fall detecting unit 202 can perform detection and judgment of whether or not the human body falls due to the three kinds of data.
  • Fig. 9 is a view schematically showing a typical three-axis acceleration data line graph of a human body falling.
  • the first interval 90 is an acceleration data line graph when the human body is standing normally
  • the second interval 91 is an acceleration data line graph of the weightless state
  • the third interval 92 is an acceleration data line graph when a fall occurs
  • the fourth interval 93 is a segment after the fall. Acceleration data line graph for the time.
  • the triaxial acceleration signal will appear a very sharp piece of data, as shown in Fig. 9, the third interval 92 where the signal changes drastically, that is, the human body collides with the ground.
  • the invention is referred to as the "major change" interval.
  • the signal acquisition module 22 collects user behavior data (including human posture data, barometric altitude data, and wear site pressure data) in real time, and stores it in a FIFO (First In First Out) format for a period of time (eg, 4).
  • Human body posture data ie, three-axis acceleration data
  • barometric altitude data ie, three-axis acceleration data
  • pressure data in seconds
  • the fall detection unit 202 analyzes whether there is a piece of data with very sharp fluctuations (ie, whether a "major change” occurs according to the stored three-axis acceleration data), specifically: setting a threshold TH1 in a section where "major change” occurs, by calculating each The vector mode of the three-axis acceleration data AX, AY, and AZ acquired the three-axis acceleration amplitude ACC, that is, It is judged whether the amplitude ACC of the three-axis acceleration data collected each time is greater than the set threshold TH1, and when the amplitude of the three-axis acceleration is greater than the set threshold, it is judged that the time point of collecting the data is “substantial change”. time.
  • the three-axis acceleration data AY representing the direction of the human torso stored in a period of time (such as 1 second) before the occurrence of the "major change” is read, according to the acquired acceleration of the Y-axis representing the direction of the human torso.
  • the value AY calculate the mean of the Y-axis before the "major change” occurs.
  • n is the number of acceleration data collected over a period of time before the "major change”).
  • the barometric altitude data H1 and pressure data (P11, P21, ..., PN1) collected last time before the "major change" occurred are recorded.
  • the acceleration data AX, AY, AZ in the period before and after the “great change” (such as 0.1s before the giant change) and within 0.1s after the giant change may be recorded according to the stored collected data, according to the record.
  • the acceleration data calculates the acceleration change amount ACC_CHG, and the calculation formula is: (n is the number of the acceleration data acquired during this instant period). If the set threshold TH2 can be set to 2g, it is judged whether the calculated acceleration change amount ACC_CHG of the "major change" instant satisfies ACC_AHG>TH2, which satisfies the description that the human body falls during this moment, and the human body will enter a great change after this fall moment.
  • the three-axis acceleration data AX, AY, AZ, the air pressure height value H2, and the pressure value of the wearing part (P12, P22) in the "quiet interval" are recorded. , whil, PN2).
  • the sum of the three-axis acceleration changes in the interval n is the number of the acceleration data collected in the stationary interval.
  • the threshold TH3 of the device Setting the height threshold TH3 of the device from the ground, the stationary state acceleration threshold TH4 and the pressure difference threshold TH5, determining whether the height difference between the air pressure height value H1 before the giant change and the air pressure height value H2 in the stationary interval satisfies the set value.
  • TH3 can be set to the height of the waist to the ankle according to the human body information data, such as 80cm.
  • TH4 is the calm after the fall.
  • the amount of acceleration variation during this period is very small and can be set to a small value, such as approaching 0.1 g (g is gravitational acceleration).
  • g gravitational acceleration
  • the human body is in a static state for a period of time after the height of the human body changes from high to low, and after the normal fall occurs, the situation will occur before the fall posture;
  • TH5 is based on the pressure on the ground side when the human body falls. The value is set to the sum of the difference between the value and the pressure value on the side far from the ground.
  • the human body changes its height and enters a stationary state, and one side touches the ground. Therefore, it can be judged that when the three conditions are satisfied at the same time, that is, if the human body has fallen, the human fall state flag such as FALL_DOWN_FLAG is set to TRUE, and a distress signal (such as the character "1") is sent to the alarm module 24, thereby starting the alarm. , enter the distress mode.
  • the alarm module 24 generates, according to the geographical location information provided by the positioning module 21, the help information including the geographical location information and the help-seeking content, and sends the help information to the remote terminal of the guardian through the wireless communication module 23 to perform notification to obtain the assistance.
  • the fall detection method provided by this embodiment needs to simultaneously detect the change of the barometric altitude data, the change of the acceleration, and the change of the pressure data of the wear site at one time, and can comprehensively consider the behavior characteristics and data of the user, and the detection mode of the single acceleration or the angle change.
  • the detection accuracy of the invention is higher and more effective, so that the user can issue a help-seeking request and obtain assistance in the first time after the fall occurs.
  • the signal processing module 20 further includes a device wearing detecting unit 201.
  • the device wearing detecting unit 201 is configured to perform analysis processing according to the device wearing information data (including the three-axis acceleration data and the pressure data of the wearing portion for one week) collected by the signal collecting module, and output the wearing state control signal to the fall detecting unit 202.
  • the wearing state control signal outputted by the fall detecting unit 202 performs fall detection.
  • the user behavior data is collected for analysis detection, and a help signal is output to the alarm module 24 when a fall occurs.
  • the signal acquisition module 21 continuously collects pressure data P1, P1, ..., PN.
  • the signal acquisition module 21 continuously collects the three-axis acceleration data AX, AY, and AZ.
  • the device wearing detecting unit 201 can simultaneously detect whether the wearing orientation of the device is correct based on the three-axis acceleration data. Since, under normal circumstances, when the human body is erect, the correct wearing method should have only one axis (ie, the axis of the human body's upright direction), the acceleration value is g (ie, the gravitational acceleration), and the other two axes have an acceleration value of zero.
  • the signal acquisition module 21 further includes a temperature sensor.
  • the temperature sensor of the embodiment since the temperature sensor itself has directivity (toward the human body side and toward the outer side), the temperature sensor of the embodiment is provided in two, one direction is set to one side facing the human body, for collecting the body temperature, and the other direction It is set to the side facing the air for collecting the ambient temperature. After the two temperature sensors are set in the direction, they are integrated on the integrated chip 4 shown in FIG. 1 for temperature collection. After the device is started, the signal acquisition module 21 continuously collects the temperature data T1 of the device close to the human body and the temperature data T2 of the device exposed to the air.
  • the error such as the difference between T1 and T2 is close to the set threshold such as 0.5°
  • the temperature difference between the two sides ie T1 and T2
  • should have a certain amplitude such as greater than the set threshold of 0.5). °).
  • the device wearing detecting unit 201 compares the temperature difference between T1 and T2 based on the collected temperature data to determine whether the device is worn. If worn, set the wearing status flag to TRUE, otherwise set to FALSE.
  • the signal acquisition module 21 may further comprise a human bioelectric sensor. After the device is started, the signal acquisition module 21 continuously collects the human bioelectrical signal output by the human bioelectrical sensor, and determines whether the human body wears the device according to whether the human bioelectrical signal is at a high level. If the human bioelectric signal is at a high level, the wear status flag is set to TRUE, otherwise it is set to FALSE.
  • the device wearing detecting unit 201 may perform detection of whether the device is worn or correctly worn according to one of the above pressure data, triaxial acceleration, temperature data, and human bioelectrical signal, or may select at the same time. The combination of any two or more is detected, and the more the selected detection data, the higher the accuracy of the detection. When the detection of any two or more of the combinations is selected, if the detection result of any of the methods is incorrectly worn, the wearing status flag is set to FALSE.
  • the combination of four items can be simultaneously tested, including whether the device is worn by the temperature data detecting device first, and if the temperature difference between the human body and the external environment is small (for example, 37 degrees), the human bioelectric signal detecting device is worn by the human body if When wearing, compare the pressure data to determine whether the wearing position is correct. If it is correct, judge whether the wearing direction is correct according to the three-axis acceleration. If all four are correct, it is determined that the device is worn correctly, the wearing state flag is set to TRUE, otherwise it is set to FALSE, and data collection is continued.
  • the fall detection unit 202 reads the value of the wearing status identifier. When TRUE, the signal acquisition module 21 collects the user behavior information data for fall detection.
  • the user may be guided to wear by using a voice playing correct wearing method after initialization or when detecting that the wearing is wrong.
  • the device may further include a human-computer interaction module 25.
  • the human-computer interaction module 25 can be a touch screen, a voice recognition module or a button, configured to receive user input, perform information entry, or activate the alarm module 24 to perform a distress alert or release a distress alert according to a user command. For example, if the basic information of the user is input through the touch screen, or a one-button alarm is performed through the button, the user can timely perform the fall alarm because the sampling rate is insufficient and the algorithm recognition rate affects the detection result, which is very fast and convenient.
  • the present invention may further provide a function of automatically exiting the fall alarm to meet the situation that the user needs to be in time to climb or otherwise stand up after a break. Inform the guardian and the need to automatically exit the alarm mode.
  • the signal processing module 20 further includes a post-fall state detecting unit 203 configured to continuously collect triaxial acceleration data (AX, AY, AZ) and barometric altitude data (H) after the human body falls. And wearing part pressure data (P1, P2, ..., PN), and storing acceleration data, altitude data and pressure data over a period of time (eg within 4 seconds), analyzing the Y-axis mean AY_3 representing the direction of the human torso
  • the air pressure height value H3 is a condition in which the pressure value (P13, P23, ..., PN3) satisfies the transition from the fall to the stand.
  • the thresholds TH6 and TH7 are set to determine whether
  • TH6 is a threshold value representing the difference between the acceleration mean value AY_3 of the human body trunk direction and the acceleration value g (ie, gravity acceleration) in the standing state, and can be set to be close to 0, and the closer the AY_3 is to the gravitational acceleration g (ie,
  • TH7 is the height difference threshold, indicating the difference between the height of the device in the current state and the height of the device when falling.
  • the height of the approach can be set to 80cm, or it can be set according to the user's height information.
  • the power consumption of the device will be relatively high, and the automatic detection of the user exiting the fall state and exiting the alarm can effectively reduce the work of the device. Consumption.
  • the alarm module 25 can also be a speaker playing device.
  • the help-seeking mode when the help information is sent to the guardian through the wireless communication module 23, the speaker is simultaneously activated to play the voice request signal, so as to get help in time;
  • the wireless communication module 23 transmits a voice distress signal that is out of the fall state information and stops the playing of the speaker to the guardian.
  • the intelligent human body fall monitoring device can be worn on the waist of the user and is very convenient to use as a waist belt. Moreover, the device of the present invention performs human body fall detection through three-axis acceleration data, barometric altitude data and pressure data, and is more in line with the user's behavior characteristics, and the correct rate is higher. At the same time, the device of the present invention provides a device wearing detection function, which can avoid the bad result of false alarm when the device is not worn or worn incorrectly, further improves the correct rate of the fall detection, and timely and accurately drops the user's fall for help information and Location information is sent to the guardian. The device of the invention can also provide automatic detection after the fall, and can continue to detect the user behavior state after the user falls.
  • the device of the invention can also realize the interaction with the user's information through the touch screen, the button, the voice recognition, etc., and is convenient for the user to operate, and can meet the user's request for help through the button in the event of a critical situation or a false alarm.
  • Fig. 3 is a view schematically showing a processing method (working method) of the intelligent human fall monitoring device according to an embodiment of the present invention. As shown in FIG. 3, the method includes:
  • Step S301 The signal acquisition module collects user behavior information data.
  • the signal acquisition module collects the user's human body posture data (including the three-axis acceleration values AX, AY, AZ) through the three-axis acceleration sensor, collects the user's air pressure height data (H) through the environmental pressure sensor, and collects the pressure data of the user wearing part one week through the pressure sensor. (P1, P2, ..., PN).
  • the user posture data can be used to determine the standing or lying state of the user.
  • the air pressure height data can be used to determine the height of the device from the ground.
  • the pressure data of the wearing part for one week can be used to determine the pressure of the ground side and the ground side when the user touches the ground. .
  • Step S302 The signal processing module detects, according to the collected user behavior information data, whether the human body has fallen.
  • the signal processing module analyzes the collected user behavior information data to determine whether the human body has a fall. When detecting that the human body has fallen, step S303 is performed. If the human body does not detect a fall, the data collection of step S301 is continued.
  • Figure 4 is a schematic illustration of the flow of a method for human fall detection. As shown in FIG. 4, the method includes:
  • Step S401 Collect human body posture behavior data, barometric altitude data and pressure data in real time.
  • the signal acquisition module performs data acquisition in real time, and mainly collects real-time data of human body posture (ie, three-axis acceleration data AX, AY, AZ), ambient air pressure height (H) data, and wearing part pressure data (P1, P2, ..., PN).
  • the FIFO (First In First Out) mode is used to store data for a period of time, such as acceleration data, barometric altitude data, and pressure data within 4 seconds.
  • Step S402 It is judged whether or not a "major change" of data occurs.
  • the signal processing module analyzes whether the data of "great change” appears according to the three-axis acceleration data, because when the human body falls, when the ground hits the ground, the three-axis acceleration signal will appear a very sharp piece of data (for details, see Figure 9 above).
  • the threshold TH1 is set here, and the three-axis acceleration amplitude ACC is obtained according to the vector mode calculation of the three-axis acceleration data AX, AY, and AZ (the calculation formula is described above), and it is determined whether ACC>TH1 exists, if If the condition is satisfied, it means that the "major change" occurs at this time, then step S403 is performed, and if the condition is not satisfied, step S401 is continued.
  • Step S403 Recording the height value (H1) before the change and the mean value of the Y-axis acceleration (AY_1) And the pressure value (P11, P21, ..., PN1).
  • Step S404 Calculate the acceleration change value ACC_CHG of the "major change" instant.
  • the acceleration data change ACC_CHG within the period before and after the “major change” (such as 0.1s before and after 0.1s) (for the calculation formula, see the above description).
  • Step S405 It is determined whether the acceleration change value ACC_CHG is greater than the set threshold TH2.
  • step S406 is performed, otherwise step S401 is continued to perform data acquisition.
  • Step S406 Record the changed height value (H2), the Y-axis acceleration mean value (AY_2), the pressure value (P12, P22, ..., PN2), and the acceleration change sum ACC_SUM of the "quiet" section.
  • the triaxial acceleration over a period of time after the fall occurs is analyzed, and the rest interval after the fall is detected (the Y-axis representing the direction of the human trunk in the interval is substantially close to 0, and the interval can be passed. Whether the acceleration of the inner Y-axis approaches 0 is judged.), calculate the sum of the three-axis acceleration changes in the interval ACC_SUM (the calculation formula is described above), and record the human body air pressure height value H2 of the time period, and the wearing device part.
  • Step S407 Whether the fall determination condition is satisfied.
  • Set thresholds TH3, TH4, TH5 (see the above for details), and determine whether the height difference between the air pressure height value H1 before the giant change and the air pressure height value H2 in the static interval is greater than the set threshold TH3, that is, whether Satisfy H2-H1>TH3, whether the sum of the acceleration changes in the rest interval is ACC_SUM (calculated as described above) is less than the set threshold TH4, that is, whether ACC_SUM ⁇ TH4 is satisfied, and whether the pressure of the wearing part of the device is determined for one week,
  • the pressure value of the pressure sensor on one side is greater than the set threshold TH5, ie ⁇
  • step S408 determining whether the Y-axis acceleration mean AY_1 before the giant change is close to the gravitational acceleration g, and whether the mean value of the Y-axis acceleration of the stationary interval is close to 0, if both H2-H1>TH3, ACC_SUM ⁇ TH4, and ⁇
  • Step S408 determining that a fall occurs, setting the fall state flag to TRUE, and entering a fall rescue state.
  • the direction of the standing and lying of the human body can be judged by the three-axis acceleration, the height change of the device from the ground is judged by the barometric height data, and the pressure of the human body wearing part (the waist of the present invention) is determined by the pressure data for one week. Changes, thereby detecting whether the human body has fallen, in line with human behavior characteristics, the detection accuracy is higher.
  • Step S303 The signal processing module sends a distress signal to the alarm module, and acquires user location information through the positioning module.
  • the signal processing module sends a distress signal (such as the character "1") to the alarm module, and acquires the geographic location information of the user through the positioning module.
  • a distress signal such as the character "1”
  • Step S304 The alarm module performs a rescue response process.
  • the alarm module After receiving the distress signal, the alarm module sends the user's geographical location information and the salvage content to the monitored remote terminal device through the wireless communication module, and notifies the guardian to obtain timely assistance.
  • FIG. 5 is a view schematically showing a processing method of a smart human fall monitoring device according to another embodiment of the present invention. As shown in FIG. 5, this embodiment differs from the embodiment shown in FIG. 3 in that the present embodiment needs to first detect whether the device is properly worn, and if the wearing is correct, whether the human body has a fall or not is detected. details as follows:
  • Step S501 The signal acquisition module acquires the device wearing information data.
  • the signal acquisition module may be one or a combination of two or more of a three-axis acceleration sensor, a pressure sensor, a temperature sensor, and a human bioelectric sensor, and the three-axis acceleration data AX, AY, and AZ may be collected by a three-axis acceleration sensor.
  • the sensor collects the pressure data P1, P2, ..., PN of the wearing part for one week, and collects the temperature data T1 close to the human body and the temperature data T2 exposed to the air side through the temperature sensor, and collects by the human bioelectric sensor. Human bioelectrical signals.
  • the signal acquisition module collecting device wearing information data may be one of the above sensor data, or may be a combination of multiple. The embodiment of the present invention is preferably described in detail. This combination can improve the accuracy of detection.
  • Step S502 The signal processing module detects whether the device is correctly worn according to the collected device wearing information data.
  • the signal processing module detects whether the device is properly worn according to the collected data.
  • Figure 6 shows A method of detecting whether the device is properly worn, as shown in FIG. 6, the method includes:
  • Step S601 Turn on the device and initialize.
  • the user turns on the power of the device, waits for the device to automatically initialize the data, and assigns the state variable of the device to the initial value, such as initializing the wearing state identifier WARE_FLAG to FALSE, and assigning the fall state flag FALL_DOWN_FLAG to FALSE.
  • Step S602 Collect temperature, pressure and acceleration data in real time, and perform voice guidance wearing to the user.
  • the signal acquisition module collects the three-axis acceleration data AX, AY, AZ in real time, and the pressure data P1, P2, ..., PN of the wearing part, the temperature data T1 close to the human body side and the temperature exposed to the air side.
  • the data T2 is simultaneously guided by the user through the voice playing method.
  • Step S603 It is determined whether the body side temperature T1 is compared with the air side temperature T2, and whether T1-T2>TH.
  • step S604 is performed, otherwise the data acquisition of step S602 is continued.
  • the human bioelectric sensor may be added to the signal acquisition module for further detection, specifically, collecting bioelectrical signals of the human body to determine whether it is high power. If the output of the human bioelectric sensor is high, it means that the human body is wearing the device, and the pressure detection in step S604 can be performed, otherwise the data acquisition is continued.
  • the human bioelectrical sensor can also be used as an alternative to the temperature sensor to determine whether the device is worn, that is, the temperature sensor is replaced with a human bioelectric sensor, and the human bioelectrical signal is judged. The present invention does not limit the combination.
  • step S607 the wearing direction of the device is correct, then step S607 is performed, otherwise step S606 is performed.
  • Step S606 prompting the user to wear the wrong direction by voice.
  • the voice prompt is played to remind the user that the wearing direction is wrong, and the data collection in step S602 is continued.
  • Step S607 determining that the wearing is correct, setting the wearing correct status flag to TRUE, and entering the fall detection state.
  • the wearing correct state flag WARE_FLAG is set to TRUE, and then the data collection of the fall detection in step S503 is performed. And to determine whether the body has fallen, otherwise no fall detection. Thereby, it is possible to avoid the false alarm when the device is not worn or worn incorrectly, and the accuracy of the fall detection and the help alert is improved.
  • Step S503 The signal acquisition module collects user behavior information data.
  • Step S504 a voice playing wearing method.
  • Step S505 The signal processing module detects, according to the collected user behavior information data, whether the human body has fallen.
  • Step S506 The signal processing module sends a distress signal to the alarm module, and acquires user location information through the positioning module.
  • Step S507 The alarm module performs a help response processing.
  • step S503 to step S507 can refer to the foregoing step S301 to step S304. According to this embodiment, it is possible to perform the fall detection on the premise that the wearing is correct, and the detection efficiency and accuracy can be improved.
  • Fig. 7 is a view schematically showing a processing method of a smart human fall monitoring device according to another embodiment of the present invention.
  • this embodiment differs from the embodiment shown in FIG. 5 in that, after detecting that the human body falls and enters the distress mode, the embodiment continues to collect user behavior data, and whether the human body is released from the fall state after the fall. The detection, and when detecting the human body to fall down, automatically exits the fall help mode, providing convenience for the user and the guardian.
  • the detection and when detecting the human body to fall down, automatically exits the fall help mode, providing convenience for the user and the guardian.
  • the embodiment includes:
  • Step S701 The signal acquisition module acquires the device wearing information data.
  • Step S702 The signal processing module detects whether the device is correctly worn according to the collected device wearing information data.
  • Step S703 The signal acquisition module collects user behavior information data.
  • Step S704 a voice playing wearing method.
  • Step S705 The signal processing module detects, according to the collected user behavior information data, whether the human body has fallen.
  • Step S706 The signal processing module sends a distress signal to the alarm module, and acquires user location information through the positioning module.
  • Step S707 The alarm module performs a distress response process.
  • Step S708 The signal acquisition module continuously collects user behavior information data.
  • Step S709 The signal processing module detects, according to the collected user behavior information data, whether the human body releases the fall state.
  • Steps S701 to S707 are the same as steps S501 to S507. The difference is that, after the fall alarm is performed, the data collection in step S708 needs to be continued, and the collected data includes three-axis acceleration data, air pressure height data, and pressure data of the wearing part, and the collected data needs to be subjected to the step-returning detection of step S709.
  • the guardian can be notified in time that the user has been relieved of the fall state, thereby reducing the anxiety of the guardian and saving the guardian's time to provide smarter and better user service.
  • FIG. 8 schematically shows a method in which the signal processing module detects whether the human body has released the fall state based on the collected user behavior information data. As shown in Figure 8, the method includes:
  • Step S801 Determine whether the fall state identifier is TRUE.
  • step S803 The value of the fall state identifier FALL_DOWN_FLAG is read to determine whether it is TRUE. If TRUE indicates that a fall has occurred, the data collection is continued in step S802. Otherwise, the user does not fall, and step S803 is performed.
  • Step S802 Collect human body posture behavior data, barometric altitude data, and pressure data in real time.
  • the signal acquisition module continuously collects three-axis acceleration data (AX, AY, AZ), the barometric height sensor continuously collects height data (H), and the pressure sensor collects pressure data (P1, P2, ..., PN) in real time and stores it in FIFO format. Data collected over a period of time, such as 4 seconds.
  • Step S803 Exiting the detection.
  • Step S804 Record the height value (H3) after the fall, the mean value of the Y-axis acceleration (AY_3), and the pressure values (P13, P23, ..., PN3).
  • the signal processing module calculates the Y-axis acceleration mean value AY_3 in the time period according to the stored three-axis acceleration data (the calculation formula is described above), and records the real-time collected barometric altitude data H3, and the pressure data (P13, P23,. ., PN3).
  • Step S805 It is judged whether or not the determination condition for releasing the fall state is satisfied.
  • step S806 determines whether the condition
  • Step S806 It is judged that the fall mode is released, and the fall state flag is set to FALSE, and the output of the fall help signal is released.
  • the fall state flag is set to FALSE, and the fallout signal (such as the character "0") is sent to the alarm module to stop the call for help.
  • Step S710 The signal processing module sends a release fall signal to the alarm module, and the alarm module performs a response process for releasing the help.
  • the alarm module sends the information that the fallout is stopped and the rescue is stopped to the guardian through the wireless communication module according to the received release fall signal, and the alarm module can also stop the voice call by turning off the speaker.
  • the operating method in the monitoring device of the present invention may further comprise: receiving a signal input of the user through a button, and playing/pausing the speaker alarm And send help/deactivation information to the remote terminal.
  • a button is set on the device, if the user presses briefly, the signal processing module receives the user's input and sends a distress signal to the alarm module. The alarm module plays the speaker and sends the help information containing the location information to the remote terminal to the guardian. If the user presses a button, the signal processing module receives the user input and sends a call for help signal to the alarm module, and the alarm module stops playing the voice of the speaker and sends the information to the guardian that the danger has been removed.
  • the method of the invention Through the method of the invention, the collection of human behavior information data through the three-axis acceleration sensor, the air pressure sensor and the pressure sensor is realized, but the detection and monitoring of the human body fall state through the human behavior information data, the accuracy rate is higher, and the satisfaction is satisfied for the elderly and The patient's fall monitoring needs.
  • the method of the present invention also provides whether the device is worn correctly or not. The detection of the fallout mode can avoid false alarms caused by the wearing problem of the device, and can continue to detect the user's situation after determining the fall, and achieve the timely notification processing when standing, which is more intelligent and convenient, and the detection accuracy is more accurate. high.

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Abstract

L'invention concerne un appareil intelligent de détection des chutes et d'émission d'alarme en cas de chute, et un procédé de traitement associé. L'appareil comprend : un module d'alarme (24), un module de collecte de signaux (22) et un module de traitement de signaux (20). Le module de collecte de signaux (22) comprend un capteur d'accélération à trois axes, un capteur de pression barométrique et un capteur de pression artérielle, et sert à recueillir en temps réel les données de posture du corps du sujet, les données de pression barométrique et de hauteur et les données de pression artérielle, respectivement. Le module de traitement de signaux (20) comprend une unité de détection des chutes (202) conçue pour effectuer un traitement d'analyse en fonction des données collectées relatives à la posture du corps du sujet, à la pression barométrique et la hauteur, et à la pression artérielle, pour déterminer un état de chute du sujet, et pour envoyer un premier signal au module d'alerte lorsque l'unité détermine que le sujet tombe. Le module d'alarme (24) est utilisé pour générer et envoyer des données d'alarme en fonction du premier signal. L'appareil intelligent de détection des chutes et d'émission d'alarme en cas de chute, et le procédé de traitement associé détectent les chutes avec une plus grande fiabilité grâce au recueil des données d'accélération à trois axes, des données relatives à la pression barométrique et à la hauteur, et des données relatives à la pression artérielle.
PCT/CN2016/084729 2015-09-25 2016-06-03 Appareil intelligent de détection des chutes et d'émission d'alarme en cas de chute et procédé de traitement associé WO2017049957A1 (fr)

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