CN113470312A - Fall monitoring method and system - Google Patents

Fall monitoring method and system Download PDF

Info

Publication number
CN113470312A
CN113470312A CN202110758552.9A CN202110758552A CN113470312A CN 113470312 A CN113470312 A CN 113470312A CN 202110758552 A CN202110758552 A CN 202110758552A CN 113470312 A CN113470312 A CN 113470312A
Authority
CN
China
Prior art keywords
foot
acceleration
angle
waist
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110758552.9A
Other languages
Chinese (zh)
Inventor
万蓬勃
倪亮辰
王朋利
田雪
韩雪净
苗容容
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shaanxi University of Science and Technology
Original Assignee
Shaanxi University of Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shaanxi University of Science and Technology filed Critical Shaanxi University of Science and Technology
Priority to CN202110758552.9A priority Critical patent/CN113470312A/en
Publication of CN113470312A publication Critical patent/CN113470312A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • 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
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B3/00—Audible signalling systems; Audible personal calling systems
    • G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission

Abstract

The invention discloses a method and a system for monitoring falling, wherein the method comprises the following steps: acquiring waist acceleration, foot angle and foot angle variation of a user; determining whether the waist acceleration is larger than a first threshold value, determining whether the foot acceleration is smaller than a second threshold value, determining whether any one of the angle variation of the foot 3 is larger than a third threshold value, determining whether the foot angle is unchanged within a certain time, and determining that the user is in a falling state if the conditions are met. According to the invention, the in-shoe monitoring unit and the waist monitoring unit are adopted to respectively acquire the state data of the feet and the waist of the user, then the state data is processed to obtain the monitoring result of whether the user falls down, and the state data of a plurality of parts reflects the real posture of the user, so that the accuracy of the monitoring result is improved.

Description

Fall monitoring method and system
Technical Field
The invention relates to the technical field of health monitoring and intelligent wearable technology, in particular to a method and a system for fall monitoring.
Background
Fall is one of the causes of injury and death of old people, and at present, there are almost no fall monitoring devices in the market which are worn on the body of a user to sense a fall event. The wearable fall monitoring and sensing device is generally a monitoring system formed by connecting an electronic component such as a gyroscope, an accelerometer and the like with a user terminal.
Currently, fall monitoring technologies mainly include fall monitoring based on video images, fall monitoring based on environmentally-placed sensors, and fall monitoring based on wearable types. Among them, the fall monitoring method based on video images requires one or more cameras to be installed in the surrounding environment, so that the cost of the fall monitoring system is high, the monitoring range is also limited in a fixed area, the fall monitoring system is easily interfered by shelters, and the privacy problem of users exists. The tumble monitoring method based on the environmental sensor mainly captures the motion information of a human body and collects the body state characteristic data related to the human body through equipment such as a pressure sensor and a microphone, and the method is easily influenced by the surrounding environment. The tumble monitoring method based on the wearable sensor mainly utilizes an acceleration sensor, a gyroscope sensor and the like to acquire information such as acceleration or angular acceleration of a human body, and the information is applied in a large quantity due to accurate monitoring results, convenient use and low cost.
The patent with the application number of CN201810786672.8 entitled "system and method for monitoring falling and preventing lost of elderly people based on wearable device" uses the combined acceleration SMV as the determination characteristic value. However, the patent only depends on data acquired by a single sensor to judge the falling state, the single sensor cannot accurately reflect the real posture of the user, and the false alarm condition that the user has violent local motion but does not fall easily occurs.
Disclosure of Invention
The embodiment of the invention provides a fall monitoring method and system, which are used for solving the problem that in the prior art, a single sensor is used for collecting the posture of a user and judging the fall state, so that the monitoring result is inaccurate.
In one aspect, an embodiment of the present invention provides a fall monitoring method, including:
acquiring waist acceleration a of a user1Acceleration of foot a2Angle of foot
Figure BDA0003148731220000021
And amount of change in foot angle
Figure BDA0003148731220000024
Figure BDA0003148731220000025
Determining waist acceleration a1Whether the threshold value is larger than the first threshold value or not, if so, entering the next step;
determining foot acceleration a2Whether the threshold value is smaller than the second threshold value or not, if so, entering the next step;
determining the amount of change in foot angle in any one direction
Figure BDA0003148731220000023
Whether the threshold value is larger than the third threshold value or not, if so, entering the next step;
determining foot angle
Figure BDA0003148731220000022
Whether the time is constant within a certain time or not, if so, entering the next step;
it is determined that the user is in a fall state.
In one possible implementation, the waist acceleration a1Synthesized according to the acceleration of the waist of the user in the x, y and z directions.
In one possible implementation, the foot acceleration a2Synthesized from the acceleration of the user's foot in the x, y and z directions.
In one possible implementation, the amount of foot angle change
Figure BDA00031487312200000216
Including components in the x, y and z directions
Figure BDA0003148731220000026
And
Figure BDA0003148731220000027
determining the amount of change in foot angle in any one direction
Figure BDA00031487312200000219
Whether greater than a third threshold, including: determining a component of foot angle change
Figure BDA0003148731220000029
Or
Figure BDA0003148731220000028
If greater than the third threshold.
In one possible implementation, the foot angle
Figure BDA00031487312200000212
Including components in the x, y and z directions
Figure BDA00031487312200000213
And
Figure BDA00031487312200000210
determining foot angle
Figure BDA00031487312200000217
Whether the time is constant or not, comprising the following steps: determining foot angle components
Figure BDA00031487312200000215
And
Figure BDA00031487312200000218
whether any one of the variation amounts in a period of time is smaller than a set value.
On the other hand, an embodiment of the present invention further provides a fall monitoring system, including: the device comprises a data acquisition module, a data transmission module and a processing unit;
a data acquisition module for acquiring waist acceleration a of the user1Acceleration of foot a2Angle of foot
Figure BDA00031487312200000220
A data transmission module for transmitting the waist acceleration a1Acceleration of foot a2Angle of foot
Figure BDA00031487312200000211
Transmitting to a processing unit;
a processing unit for processing the foot angle
Figure BDA0003148731220000033
Obtaining the variation of foot angle
Figure BDA0003148731220000032
And for determining the waist acceleration a1If it is greater than the first threshold, determining the foot acceleration a2Whether the angle of the foot is smaller than a second threshold value or not, and determining the angle change amount of the foot in any one direction
Figure BDA0003148731220000031
Determining whether the foot angle is greater than a third threshold
Figure BDA0003148731220000034
Whether the current time is constant within a certain time or not is judged, and when the conditions are met, the user is determined to be in a falling state.
In one possible implementation, the data acquisition module includes: an in-shoe monitoring unit and a waist monitoring unit; the in-shoe monitoring unit is used for acquiring the acceleration a of the foot2Angle with foot
Figure BDA0003148731220000035
The waist monitoring unit is used for acquiring waist acceleration a1。
In one possible implementation, the in-shoe monitoring unit is disposed in the smart shoe, the waist monitoring unit is disposed in the belt box, and the belt box is worn around the waist of the user.
In one possible implementation, the data transmission module is in wireless communication connection with the processing unit by using bluetooth technology.
In one possible implementation, the processing unit has a buzzer that sounds an alarm when the processing unit determines that the user is in a fall state.
The falling monitoring method and the system have the following advantages that:
the in-shoe monitoring unit and the waist monitoring unit are adopted to respectively acquire the state data of the feet and the waist of the user, then the processing algorithm provided by the invention is adopted to process the state data to obtain a monitoring result of whether the user falls down, and the state data of a plurality of parts reflects the real posture of the user, so that the accuracy of the monitoring result is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a fall monitoring method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a fall monitoring system according to an embodiment of the invention;
FIG. 3 is a schematic view of a smart shoe provided by an embodiment of the present invention;
fig. 4 is a schematic view of a waistband cassette according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of a fall monitoring method according to an embodiment of the present invention. The invention provides a fall monitoring method, which comprises the following steps:
s100, acquiring waist acceleration a of a user1Acceleration of foot a2Angle of foot
Figure BDA00031487312200000410
And amount of change in foot angle
Figure BDA0003148731220000048
Illustratively, the foot angle is obtained
Figure BDA0003148731220000041
Amount of change in rear, foot angle
Figure BDA0003148731220000042
According to the angle of the foot
Figure BDA0003148731220000043
And (4) determining. Specifically, the foot angle at time t1 is
Figure BDA0003148731220000044
Foot angle at time t2 of
Figure BDA0003148731220000045
The amount of foot angle change over the time period t1-t2
Figure BDA0003148731220000047
Comprises the following steps:
Figure BDA0003148731220000046
s101, determining waist acceleration a1And whether the first threshold value is larger than the first threshold value, and if so, entering the next step.
Illustratively, the first threshold is specifically 3.5g, g representing the acceleration of gravity, i.e. 9.8m/s2. If waist acceleration a1If the waist acceleration is less than or equal to the first threshold value, the control returns to S100 to obtain the waist acceleration a again1。
S102, determining the acceleration a of the foot2And whether the threshold value is smaller than the second threshold value, and if so, entering the next step.
Exemplarily, if the waist acceleration a1Greater than a first threshold value, while the foot acceleration a is2And is also smaller than the second threshold, which indicates that the waist angle of the user is too large and the acceleration of the feet is too small at this time, indicating that the user is in an unstable state, and the following determination may be continued to determine whether the user has fallen down. In particular, the second threshold is 2g, where g represents the acceleration of gravity, i.e. 9.8m/s2. If foot acceleration a2If the foot acceleration is greater than or equal to the second threshold value, the process returns to S100 to acquire the foot acceleration a again2。
S103, determining the angle variation of the foot in any direction
Figure BDA0003148731220000049
And if the threshold value is larger than the third threshold value, the next step is carried out.
Illustratively, the third threshold is specifically 70 °, due to the foot angle variation
Figure BDA0003148731220000058
Is t1And t2The difference of the angles between the moments, the foot angle variation
Figure BDA0003148731220000056
Is the absolute value of the difference, i.e.
Figure BDA00031487312200000511
If the foot angle changes
Figure BDA00031487312200000514
If the foot angle is less than or equal to the third threshold, the process returns to S100 to obtain the foot angle again
Figure BDA00031487312200000516
And determining the amount of foot angle change
Figure BDA0003148731220000057
S104, determining the foot angle
Figure BDA00031487312200000510
And if the time is not changed within a certain period, the next step is carried out.
The above-mentioned certain time is exemplarily embodied as 2s, i.e. the foot angle is determined
Figure BDA0003148731220000059
Whether no change occurs within 2 s. If the foot angle
Figure BDA00031487312200000515
If the change occurs within 2S, the process returns to S100 to retrieve the foot angle
Figure BDA00031487312200000513
And S105, determining that the user is in a falling state.
For example, since the conditions of S101-S104 are all satisfied, it is indicated that the user has not only passed through an unstable state, but also the current foot angle is not in a normal state, and meanwhile, the foot angle does not change within a period of time, which indicates that the user has fallen and cannot return to the normal state by himself, and it can be determined that the user is actually in the fallen state.
In a possible embodiment, the waist acceleration a1Synthesized according to the acceleration of the waist of the user in the x, y and z directions.
Exemplarily, respectively with a1x、a1yAnd a1zRepresenting the acceleration of the user's waist in the x, y and z directions,the above waist acceleration a1Is determined by calculation using the formula:
Figure BDA0003148731220000051
in one possible embodiment, the foot acceleration a2Synthesized from the acceleration of the user's foot in the x, y and z directions.
Exemplarily, respectively with a2x、a2yAnd a2zRepresenting the acceleration of the user's foot in the x, y and z directions, the foot acceleration a2Is determined by calculation using the formula:
Figure BDA0003148731220000052
in one possible embodiment, the foot angle changes
Figure BDA00031487312200000512
Including components Δ in the x, y and z directions
Figure BDA00031487312200000518
And
Figure BDA00031487312200000519
determining the amount of change in foot angle in any one direction
Figure BDA0003148731220000053
Whether greater than a third threshold, including: determining a component of foot angle change
Figure BDA0003148731220000054
Or
Figure BDA0003148731220000055
If greater than the third threshold.
Illustratively, if any component of the foot angle is larger than the third threshold value, the amount of change in the foot angle at that time is considered
Figure BDA00031487312200000612
Greater than a third threshold.
In one possible embodiment, the foot angle
Figure BDA0003148731220000061
Including components in the x, y and z directions
Figure BDA0003148731220000064
And
Figure BDA0003148731220000065
determining foot angle
Figure BDA0003148731220000063
Whether the time is constant or not, comprising the following steps: determining foot angle components
Figure BDA0003148731220000067
And
Figure BDA0003148731220000066
whether any one of the variation amounts in a period of time is smaller than a set value.
Illustratively, since all the components of the foot angle are obtained by the electronic device, when the electronic device is affected by noise or other factors, the output foot angle component may change by a small amount, or the user may also change by a small amount when trying to stand up after falling, and therefore the component of the foot angle may not be maintained absolutely constant, and if the variation amount of the foot angle is smaller than a set value, for example, 10 °, 15 °, or the like, it may be considered that the component of the foot angle has not changed.
Based on the above fall monitoring method, an embodiment of the present invention further provides a fall monitoring system, as shown in fig. 2, the system including: a data acquisition module 200, a data transmission module 300 and a processing unit 400;
a data acquisition module 200 for acquiring waist acceleration a of the user1Acceleration of footDegree a2Angle of foot
Figure BDA00031487312200000611
A data transmission module 300 for transmitting the waist acceleration a1Acceleration of foot a2Angle of foot
Figure BDA0003148731220000062
To the processing unit 400;
a processing unit 400 for processing the foot angle
Figure BDA0003148731220000069
Obtaining the variation of foot angle
Figure BDA0003148731220000068
And for determining the waist acceleration a1If it is greater than the first threshold, determining the foot acceleration a2Whether the angle of the foot is smaller than a second threshold value or not, and determining the angle change amount of the foot in any one direction
Figure BDA00031487312200000613
Determining whether the foot angle is greater than a third threshold
Figure BDA00031487312200000614
Whether the current time is constant within a certain time or not is judged, and when the conditions are met, the user is determined to be in a falling state.
In one possible embodiment, the data acquisition module 200 includes: an in-shoe monitoring unit 210 and a waist monitoring unit 220; the in-shoe monitoring unit 210 is used to obtain the foot acceleration a2Angle with foot
Figure BDA00031487312200000610
The lumbar monitoring unit 220 is used for acquiring the acceleration a of the lumbar region1。
In one possible embodiment, the in-shoe monitoring unit 210 is disposed in the smart shoe 230, the waist monitoring unit 220 is disposed in the belt box 240, and the belt box 240 is worn around the waist of the user.
Illustratively, the in-shoe monitoring unit 210 may be disposed inside or on a surface of the smart shoe 230, such as in a shoe insole, a shoe sole, or on an upper. The waistband cartridge 240 can be snapped onto the user's waistband or worn around the user's waist using a special strap, as shown in fig. 3 and 4.
In one possible embodiment, the data transmission module 300 is connected to the processing unit 400 in a wireless communication using bluetooth technology.
Illustratively, the in-shoe monitoring unit 210, the waist monitoring unit 220 and the processing unit 400 are respectively located at different positions, and the relative positions of the three are changed at any time and are not suitable for wired connection, so the in-shoe monitoring unit 210 and the waist monitoring unit 220 are communicatively connected by adopting a bluetooth technology, and the in-shoe monitoring unit 210 and the waist monitoring unit 220 acquire state data of a user and then transmit the state data to the processing unit 400 through bluetooth.
In one possible embodiment, the processing unit 400 has a buzzer that sounds an alarm when the processing unit 400 determines that the user is in a fall state.
Illustratively, the processing unit 400 is an electronic device carried by the user, and when the processing unit 400 determines that the user is in a fall state, in order to reduce further injury to the user, the user will be helped by reminding a nearby person by means of sounding a buzzer.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A fall monitoring method, comprising:
acquiring waist acceleration a of a user1Acceleration of foot a2Angle of foot
Figure FDA0003148731210000011
And amount of change in foot angle
Figure FDA0003148731210000012
Figure FDA0003148731210000013
Determining the waist acceleration a1Whether the threshold value is larger than the first threshold value or not, if so, entering the next step;
determining the foot acceleration a2Whether the threshold value is smaller than the second threshold value or not, if so, entering the next step;
determining the amount of change in the foot angle in any one direction
Figure FDA0003148731210000014
Whether the threshold value is larger than the third threshold value or not, if so, entering the next step;
determining the foot angle
Figure FDA00031487312100000117
Whether the time is constant within a certain time or not, if so, entering the next step;
it is determined that the user is in a fall state.
2. A fall monitoring method as claimed in claim 1, wherein the waist acceleration a1Synthesized according to the acceleration of the waist of the user in the x, y and z directions.
3. A fall monitoring method as claimed in claim 1, wherein the foot acceleration a2Based on acceleration of the user's foot in the x, y and z directionsObtaining the finished product.
4. A fall monitoring method as claimed in claim 1, wherein the foot angle change is variable
Figure FDA0003148731210000015
Including components in the x, y and z directions
Figure FDA0003148731210000016
And
Figure FDA0003148731210000017
the amount of change of the foot angle in any one direction is determined
Figure FDA0003148731210000018
Whether greater than a third threshold, including:
determining a component of foot angle change
Figure FDA0003148731210000019
Or
Figure FDA00031487312100000110
If greater than the third threshold.
5. A fall monitoring method as claimed in claim 1, wherein the foot angle is determined by the foot angle
Figure FDA00031487312100000111
Including components in the x, y and z directions
Figure FDA00031487312100000112
And
Figure FDA00031487312100000113
the determination of the foot angle
Figure FDA00031487312100000114
Whether the time is constant or not, comprising the following steps:
determining foot angle components
Figure FDA00031487312100000115
And
Figure FDA00031487312100000116
whether any one of the variation amounts in a period of time is smaller than a set value.
6. A system for applying a fall monitoring method as claimed in any of claims 1 to 5, comprising: the system comprises a data acquisition module (200), a data transmission module (300) and a processing unit (400);
the data acquisition module (200) is used for acquiring waist acceleration a of the user1Acceleration of foot a2Angle of foot
Figure FDA0003148731210000021
The data transmission module (300) is used for transmitting the waist acceleration a1Acceleration of foot a2Angle of foot
Figure FDA0003148731210000022
To the processing unit (400);
the processing unit (400) is used for processing the foot angle
Figure FDA0003148731210000023
Obtaining the variation of foot angle
Figure FDA0003148731210000024
And for determining the waist acceleration a1If it is greater than a first threshold value, determining the foot acceleration a2Whether or not less thanA second threshold value for determining the amount of change in the foot angle in any one direction
Figure FDA0003148731210000025
Whether the foot angle is greater than a third threshold value or not, determining the foot angle
Figure FDA0003148731210000026
Whether the current time is constant within a certain time or not is judged, and when the conditions are met, the user is determined to be in a falling state.
7. A fall monitoring system as claimed in claim 6, wherein the data acquisition module (200) comprises: an in-shoe monitoring unit (210) and a waist monitoring unit (220);
the in-shoe monitoring unit (210) is used for acquiring the acceleration a of the foot2Angle with foot
Figure FDA0003148731210000027
The waist monitoring unit (220) is used for acquiring the waist acceleration a1。
8. A fall monitoring system according to claim 7, wherein the in-shoe monitoring unit (210) is arranged in a smart shoe (230), the lumbar monitoring unit (220) is arranged in a belt cassette (240), and the belt cassette (240) is worn around the user's waist.
9. A fall monitoring system according to claim 6, wherein the data transmission module (300) is connected to the processing unit (400) for wireless communication using Bluetooth technology.
10. A fall monitoring system according to claim 6, wherein the processing unit (400) has a buzzer that sounds an alarm when the processing unit (400) determines that the user is in a fall situation.
CN202110758552.9A 2021-07-05 2021-07-05 Fall monitoring method and system Pending CN113470312A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110758552.9A CN113470312A (en) 2021-07-05 2021-07-05 Fall monitoring method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110758552.9A CN113470312A (en) 2021-07-05 2021-07-05 Fall monitoring method and system

Publications (1)

Publication Number Publication Date
CN113470312A true CN113470312A (en) 2021-10-01

Family

ID=77878205

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110758552.9A Pending CN113470312A (en) 2021-07-05 2021-07-05 Fall monitoring method and system

Country Status (1)

Country Link
CN (1) CN113470312A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109745053A (en) * 2019-03-05 2019-05-14 珠海市鼎芯科技有限公司 A kind of body state detection device and method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106097654A (en) * 2016-07-27 2016-11-09 歌尔股份有限公司 A kind of fall detection method and wearable falling detection device
CN106327799A (en) * 2016-09-30 2017-01-11 福建工程学院 Trip monitoring method and system in walking state
CN106991789A (en) * 2017-05-10 2017-07-28 杨力 Falling detection device, waistband and fall detection method
KR20180056982A (en) * 2016-11-21 2018-05-30 동의대학교 산학협력단 Sensor shoes with a acceleration sensor embedded and activity monitoring method using mobile application
CN213553466U (en) * 2020-08-14 2021-06-29 郑州大学 Anti-skidding walking stick with keep away barrier and navigation feature

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106097654A (en) * 2016-07-27 2016-11-09 歌尔股份有限公司 A kind of fall detection method and wearable falling detection device
CN106327799A (en) * 2016-09-30 2017-01-11 福建工程学院 Trip monitoring method and system in walking state
KR20180056982A (en) * 2016-11-21 2018-05-30 동의대학교 산학협력단 Sensor shoes with a acceleration sensor embedded and activity monitoring method using mobile application
CN106991789A (en) * 2017-05-10 2017-07-28 杨力 Falling detection device, waistband and fall detection method
CN213553466U (en) * 2020-08-14 2021-06-29 郑州大学 Anti-skidding walking stick with keep away barrier and navigation feature

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陈国兴等: "假肢穿戴者跌倒预警系统设计", 《华中科技大学学报(自然科学版)》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109745053A (en) * 2019-03-05 2019-05-14 珠海市鼎芯科技有限公司 A kind of body state detection device and method

Similar Documents

Publication Publication Date Title
US9456771B2 (en) Method for estimating velocities and/or displacements from accelerometer measurement samples
US10670621B2 (en) Fall prevention
CN101711401B (en) Fall detection system
US20170172464A1 (en) Method for monitoring of activity and fall
JP5674766B2 (en) Sensing device for detecting wearing position
US20200046262A1 (en) Method and apparatus for determining a fall risk
US20070112287A1 (en) System and method for detecting deviations in nominal gait patterns
CN109561855B (en) Device, system and method for fall detection
WO2014083538A1 (en) Method and apparatus for identifying transitions between sitting and standing postures
KR20160120331A (en) Activity recognition using accelerometer data
EP3079568B1 (en) Device, method and system for counting the number of cycles of a periodic movement of a subject
Hossain et al. A direction-sensitive fall detection system using single 3D accelerometer and learning classifier
CN109767600B (en) AR glasses capable of automatically alarming and implementation method thereof
EP3613059A1 (en) System for recording, analyzing risk(s) of accident(s) or need of assistance and providing real-time warning(s) based on continuous sensor signals
CN113470312A (en) Fall monitoring method and system
CN108836344A (en) Step-length cadence evaluation method and device and gait detector
KR102118158B1 (en) Female urination detection system using wearable device and decision method using thereof
US20140085465A1 (en) Method and system for locating a person
JP2016209404A (en) Stress detection system
CN115204240A (en) Fall detection method and device based on millimeter wave radar and FPGA
JP7024025B2 (en) System, program
US11313962B2 (en) Presence/absence detection method, non-transitory storage medium, sensor processing system, and sensor system
KR102268445B1 (en) Apparatus for estimation of gait stability based on inertial information and method thereof
EP3824809A1 (en) Animal physical activity tracking device and system having the same
KR20190021953A (en) Apparatus, system method for providing status information of care target person based on statistical information

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20211001