CN109171734A - Human body behavioural analysis cloud management system based on Fusion - Google Patents
Human body behavioural analysis cloud management system based on Fusion Download PDFInfo
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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
- A61B5/1036—Measuring load distribution, e.g. podologic studies
- A61B5/1038—Measuring plantar pressure during gait
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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
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
-
- 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
- A61B5/6802—Sensor mounted on worn items
- A61B5/6804—Garments; Clothes
- A61B5/6807—Footwear
-
- 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
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7405—Details of notification to user or communication with user or patient ; user input means using sound
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/08—Elderly
Abstract
The human body behavioural analysis cloud management system based on Fusion that the present invention relates to a kind of, belongs to sensor technical field.Human body behavioural analysis cloud management system based on Fusion, the system includes: plantar pressure detection subsystem, image/video detects subsystem, human body attitude detects subsystem, blood pressure, the pulse detection wrist-watch present invention include the plantar pressure detection subsystem for real-time detection plantar pressure parameter, smartwatch by the attitude detection subsystem of accelerometer gyroscope and geomagnetic sensors detection human body attitude, for obtaining human body level inclination image/video subsystem and for detecting human body physiological data.By the way that wirelessly the data are sent to the user terminal, user terminal carries out tumble judgement to the data, and when judging that user falls, generates tumble information, and user current location and tumble information are sent to preset guardian's mobile terminal, realize the long distance monitoring fallen, fallen in a swoon to user.
Description
Technical field
The invention belongs to sensor technical field, it is related to the human body behavioural analysis cloud management based on Fusion
System.
Background technique
With the intensification of aging degree, it is imperative that health account is established for the elderly, wherein for the elderly,
Fall prevention and progress alarm later of falling have been the social major issues studied and solved of having to.Statistics show into
In the tumble patient of row hospitalization, 20% is not rescued in time due to unmanned discovery etc. for a long time after tumble
Caused by helping.Prevention and alarm problem to Falls Among Old People obtain in fields such as health care, health care, Activity recognitions
Extensive concern.
Currently, fall detection technology mainly has: based on wearable fall detection system, such equipment is generally worn on people
The fixed position of body, such as waist, chest, wrist position.Experimental subjects is acquired by sensors such as gyroscope and accelerometers
Data during the motion come whether judgment experiment object falls.And the fall detection based on image/video sensor, also
There is the pressure sensor for being suitable for being worn on sole, according to the pressure in the centre of the palm to determine whether falling.
However, there are some problems for these above-mentioned detection methods:
1) the fall detection method monitoring range based on image/video sensor is small, needs to install one in ambient enviroment
Or multiple cameras, testing cost is higher, and is easy by such environmental effects such as light, and detection range is also limited to fix
The specific occasions such as hospital, home for destitute, for outdoor activity, monitoring does not have effect, therefore cannot be timely when Falls Among Old People
It was found that and causing serious consequence.
2) wearable detection signal factors are single, and with the position of wearing have it is very big contact, if wearing position is correct, inspection
It surveys result and then there is biggish error.
3) much relations are distributed with sensor in the pressure sensor for being suitable for being worn on sole, if distribution is improper,
Cause vola signal acquisition inaccurate, it will to cause to judge by accident.
4) above-mentioned detection method majority is all also limited to local or the processing of the end PC lacks health based on scientific research
The mobile client of management accesses and cloud service platform, and apart from actual fall detection, health control is applied also certain poor
Away from.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of human body behavioural analysis cloud based on Fusion
Management system has fall detection, checks wearer's physiological signal and remotely supervised by cloud to offers such as relatives, homes for destitute
Shield service and unusual condition alert service.
In order to achieve the above objectives, the invention provides the following technical scheme:
Human body behavioural analysis cloud management system based on Fusion, the system include:
Plantar pressure detects subsystem, including several pressure sensors, plantar pressure control module, the first radio communication mold
Block；The pressure sensor is connected with the control module with first communication module, and the control module passes the pressure
The detection data of sensor is handled；
Image/video detects subsystem, including horizontal attitude imaging sensor, image/video control module, the second channel radio
Believe module, horizontal gravity of the horizontal attitude imaging sensor for image detects, and is worn on chest, is human body attitude detection
The supplement of system；
Human body attitude detection subsystem, including gyro sensor, acceleration transducer, geomagnetic sensor, third are wireless
Communication module and attitude detection control module；The gyro sensor, acceleration transducer, geomagnetic sensor, wireless communication
Module is connect with the attitude detection control module；The control module is to the gyro sensor, acceleration transducer
And the detection data of geomagnetic sensor is handled；
Blood pressure, pulse detection wrist-watch are worn on wrist, for detecting human blood-pressure, and pulse is real-time for carrying out to user
Blood pressure, pulse detection, establish health account for patient.
Further, first wireless communication module and the second wireless communication module are led to third wireless communication module
Letter；The attitude detection control module is according to plantar pressure control module, the processing result of image/video control module and top
Spiral shell instrument, accelerometer detection data judge whether human body falls.
Further, the pressure sensor is respectively placed in left foot and right big toe, metatarsal and heel.
Further, the system also includes buzzer, the buzzer is used for when human body has tumble to be inclined to and tumble
Signal an alert afterwards.
Further, the acceleration transducer is 3-axis acceleration sensor, is formed with the gyroscope, geomagnetic sensor
Nine axle sensors.
Further, the plantar pressure detection subsystem further includes power supply module and analog-to-digital conversion module, the power supply mould
Block is connected with plantar pressure control module, and the power supply module is powered using piezoelectric ceramics, and piezoelectric patches deformation is converted
For energy output, without changing battery, wherein power supply module is placed in heel；
The human body attitude detection subsystem further includes power supply module, is connect with attitude detection control module.
Further, the plantar pressure control module is specifically used for obtaining the plantar pressure number of the pressure sensor detection
According to the pressure sensor is 6.
Further, described image video detection subsystem further includes camera, for detecting the inclination angle of human body horizontal direction,
The camera is worn on chest, and acquired image can reflect the position in the integral inclined direction of human body.
Further, the attitude detection subsystem is worn on waist, and waist area is attended to anything else the top and the bottom of body, and human body is walked
Dynamic, whole body posture realization be unable to do without the coordination of waist；
The attitude detection control module acquisition accelerometer gyroscope and Geomagnetism Information, and according to HMM, KNN and RNN mould
Type handles the acquired information of attitude detection control module, carries out tumble judgement according to processing result；When judgement is fallen
When, tumble information is generated；
Camera information, human body attitude information, plantar pressure information, blood pressure-pulse information and tumble judging result are logical
Wireless communication transmissions are crossed to user terminal, and human body behavior is judged according to processing, associate device is sent to, sends data to cloud
Hold server.
Further, the system also includes human body behavioural analysis device, associated terminal, user terminal and cloud server,
The human body behavioural analysis device is connect by wireless communication with the associated terminal；Wherein,
The associated terminal, for obtaining 9 axis information of accelerometer gyroscope and earth magnetism comprising human body attitude, vola pressure
Force information, image information, blood pressure-pulse information；
The associated terminal includes guardian's mobile terminal；
Guardian's mobile terminal for reception alarm or help information, or checks the detection data by cloud,
Judge user behavior；
The user terminal is used to receive by being wirelessly transferred the described image video data to come up, human body attitude testing number
According to, plantar pressure detection data, blood pressure-pulse data and be sent to Cloud Server and carry out record preservation；
The user terminal be also used to described image data, human body attitude detection data, plantar pressure detection data and
Blood pressure-pulse information is analyzed, and analysis statistical result is presented in graphical form, and when user falls, tumble information is sent out
It send to guardian's mobile terminal；
The user terminal is also used to the setting that the app by configuring carries out mode or parameter to the detection device, side
Just it is suitable for different crowd；
The user terminal is also used to send the detection data to cloud server；
The cloud server is used for doctor and prison for receiving the detection data and preservation that the user terminal is sent
Protect the inquiry such as people.
The beneficial effects of the present invention are: the present invention includes the plantar pressure detection for real-time detection plantar pressure parameter
Subsystem, by the attitude detection subsystem of accelerometer gyroscope and geomagnetic sensors detection human body attitude, for obtaining people
Body level inclination image/video subsystem and the smartwatch for detecting human body physiological data.By wirelessly by the data
It is sent to the user terminal, user terminal carries out tumble judgement to the data, and when judging that user falls, generates letter of falling
Breath, and user current location and tumble information are sent to preset guardian's mobile terminal is realized and falls, falls in a swoon to user
Long distance monitoring.The present invention also provides the physiologic informations such as real-time blood pressure-pulse of user, and user, guardian etc. is facilitated to understand user
Non-real time physiological data.
Detailed description of the invention
In order to keep the purpose of the present invention, technical scheme and beneficial effects clearer, the present invention provides following attached drawing and carries out
Illustrate:
Fig. 1 is the structural representation of the human body behavioural analysis cloud management system of the invention based on Fusion
Figure；
Fig. 2 is that subsystem is detected in vola；
Fig. 3 is image detection subsystem；
Fig. 4 is human body attitude detection subsystem；
Fig. 5 is image detection flow chart.
Specific embodiment
Below in conjunction with attached drawing, a preferred embodiment of the present invention will be described in detail.
Referring to Fig. 1, the human body behavioural analysis cloud management provided in an embodiment of the present invention based on Fusion
One embodiment of system mainly includes plantar pressure detection part, image-sensing part, human body attitude detection part and blood
Pressure-pulse detection part.
In the embodiment of the present invention, the plantar pressure detection part includes: the pressure referring to FIG. 2, installing in insole
Sensor module, analog-to-digital conversion module, plantar pressure control module, the first wireless communication module and power supply module.Wherein power
Module, analog-to-digital conversion module, the first wireless communication module are connected with plantar pressure control module.Plantar pressure detection part is used for
Detect plantar pressure variation.
In the embodiment of the present invention, described image detection part is worn on front, comprising: referring to FIG. 3, image/video controls
Module, power supply module, camera, the second wireless communication module.Wherein power supply module, camera, the second wireless communication module with
The image control mold connection.For detecting the variation of human body horizontal attitude.
In the embodiment of the present invention, the human body attitude detection part is worn on waist, comprising: referring to FIG. 4, three axis accelerate
Spend sensor, gyroscope, geomagnetic sensor, attitude detection control module, power supply module, third wireless communication module, buzzer.
Wherein power supply module, 3-axis acceleration sensor, gyroscope, geomagnetic sensor, third wireless communication module and attitude detection control
The connection of molding block.For detecting human body attitude variation.Attitude detection control module processing from waist, chest, vola data,
And judging whether human body falls, the state of human body will be reminded by buzzer.Plantar pressure detection part is limited to vola space, some
Functional module also can be set in other positions, and be not limited in installation and insole, similarly, human body attitude detection part and figure
As detection part is also such.
Pressure sensor is in the front foot for having respectively represented sole in vola, hindfoot areas, the pressure of pressure sensor
Value variation is related with the gravity center shift of human body, can judge people by the situation of change of pressure sensor numerical value in these regions
The center of gravity situation of body, and as one of tumble judge index.
The type selecting of pressure sensor: the type of pressure sensor is varied, as common are condenser type, pressure resistance type,
Piezoelectric type etc., but the defects of wherein most is too big there are volume, it is not suitable as the sensor of measurement plantar pressure.Due to passing
Sensor needs to be integrated in insole, so the sensor used needs that wearer is made to feel comfortable, and has small in size, precision is high etc.
Feature.Comprehensively consider the Multiple factors of plantar pressure measurement, this application example final choice RFP diaphragm pressure sensor is as survey
Measure element.
Vola power module type selecting: to be insole without frequent charge, this example converts electricity using piezoelectric ceramics energy
Road selects rectangle bimorph piezo electric hair spot film as piezoelectricity conversion medium, utilizes the LTC3588 chip design energy of Linear company
Piezoelectric patches deformation data is converted to electricity output by collection module.
Wherein, data fusion of the algorithm in vola between bipod.At least one in human normal walking process
Foot is in support body, and when human body is fallen, the pressure curve of sensor has following two features:
It is close to zero 1. biped plantar pressure drops to pressure value simultaneously within a short period of time,
2. hereafter biped pressure is persistently close to zero in the long period.
Segment processing is carried out according to 16 pressure sensors sampled data in the same period first, obtain comprising fall with
The candidate samples sequence of non-tumble.
The characteristic value extracted in each candidate samples sequence is mentioned by the eigenvalue cluster of 16 pressure sensors at feature vector
Take experimenter under various tumble states, the feature vector of candidate samples sequence, constitutive characteristic vector set, to support vector machines
Model is trained and tests.
Vector machine Selection of kernel function Radial basis kernel function, main cause are that Radial basis kernel function can be non-linear by sample
Ground is mapped to more higher dimensional space, solves the non-linear relation between classification and attribute, and its numerical value restrictive condition is few；Secondly, radial
Base core letter has parameter less.
Classification results are transmitted to waist attitude detection control module by plantar pressure control module.
Wherein, image detection module detection level inclination angle is carried out with the detection method of first person vision, and camera is worn
In chest, the scene of capture often has very strong similitude with scene seen by person.Mainly to the feature of whole image
Information is for statistical analysis, finally estimates the change of pitch angle of needs.Its testing process refers to Fig. 5.
First person vision technique is mainly that cortical imaging principle has carried out artificial modeling to brain, and response output obtains
Characteristic point than sparse, represent the key feature points of whole image of identification, can achieve very using these sparse features points
Good detection effect, the embedded platform weak for operational capability also have good adaptability.It is obtained using focal point detector
Image characteristic point.
In the present embodiment, gyroscope chip selects MPU9250, and it is that data transmit mould that wireless communication, which selects bluetooth HCO5,
Block.
In this implementation column, using the gyroscope, the sensors such as accelerometer acquire human body attitude respectively and sit along three-dimensional
Acceleration, pitch angle, yaw angle, roller bearing angle and the Geomagnetism Information of mark system tri- axial directions of XYZ, each sensor is by the number of acquisition
According to being transferred to the attitude detection control module.
In the present embodiment, the attitude detection control module examines the acceleration transducer based on RNN neural network
Measured data, gyro sensor detection data, geomagnetic sensors detection data carry out fusion treatment, and according to the knot of fusion treatment
Fruit carries out tumble judgement.
In the present embodiment, specific judgment criterion is as follows:
(1) plantar pressure sensor acquires plantar pressure data, number pressure of the plantar pressure control module to 6 sensors
According to being handled, and processing result is sent to third communication module.
(2) camera is worn on chest, with first person vision shoot picture, the image control mold to captured picture into
Row processing, by processing result by being wirelessly transmitted to third communication module.
(3) main control chip receives microprocessor moving by 3-axis acceleration, three-axis gyroscope and geomagnetic sensor acquisition
Make data and action data is handled.
(4) main control chip judges whether plantar pressure is abnormal according to plantar pressure control module processing result, if abnormal,
Then continue step (5), otherwise, without processing.
(5) main control chip is detected according to image-sensing part change of pitch angle and acceleration, gyroscope, earth magnetism etc. sense
The information that device detects judges whether human body falls.
In the present embodiment, blood pressure-pulse detection module detects blood pressure pulse, facilitates user and guardian couple
The information such as user's pulse carry out real-time query.
In conclusion the present invention provides a kind of human body behavior analysis method based on Fusion, it can
It obtains the physiological signal parameter of human body and real-time perfoming is fallen and judged, when user has tumble to be inclined to, master controller makes buzzer
Sound reminds user's fall prevention, when tumble occurs, generates tumble information, and pass through user terminal to mobile human monitoring terminal
Tumble information is sent, realizes and the long distance monitoring of wearer is acted on.
Finally, it is stated that preferred embodiment above is only used to illustrate the technical scheme of the present invention and not to limit it, although logical
It crosses above preferred embodiment the present invention is described in detail, however, those skilled in the art should understand that, can be
Various changes are made to it in form and in details, without departing from claims of the present invention limited range.
Claims (10)
1. the human body behavioural analysis cloud management system based on Fusion, it is characterised in that: the system includes:
Plantar pressure detects subsystem, including several pressure sensors, plantar pressure control module, the first wireless communication module；
The pressure sensor is connected with the control module with first communication module, and the control module is to the pressure sensor
Detection data handled；
Image/video detects subsystem, including horizontal attitude imaging sensor, image/video control module, the second radio communication mold
Block, horizontal gravity of the horizontal attitude imaging sensor for image detect, and are worn on chest, are human body attitude detection system
Supplement；
Human body attitude detects subsystem, including gyro sensor, acceleration transducer, geomagnetic sensor, third wireless communication
Module and attitude detection control module；The gyro sensor, acceleration transducer, geomagnetic sensor, wireless communication module
It is connect with the attitude detection control module；The control module is to the gyro sensor, acceleration transducer and ground
The detection data of Magnetic Sensor is handled；
Blood pressure, pulse detection wrist-watch are worn on wrist, for detecting human blood-pressure, pulse, for carrying out real-time blood to user
Pressure, pulse detection, establish health account for patient.
2. the human body behavioural analysis cloud management system according to claim 1 based on Fusion, feature
Be: first wireless communication module and the second wireless communication module are communicated with third wireless communication module；The appearance
State detects control module according to plantar pressure control module, the processing result of image/video control module and gyroscope, acceleration
The detection data of meter is spent to judge whether human body falls.
3. the human body behavioural analysis cloud management system according to claim 1 based on Fusion, feature
Be: the pressure sensor is respectively placed in left foot and right big toe, metatarsal and heel.
4. the human body behavioural analysis cloud management system according to claim 1 based on Fusion, feature
Be: the system also includes buzzer, the buzzer is used to sound an alarm when human body has tumble to be inclined to and after falling
Signal.
5. the human body behavioural analysis cloud management system according to claim 1 based on Fusion, feature
Be: the acceleration transducer is 3-axis acceleration sensor, forms nine axis sensing with the gyroscope, geomagnetic sensor
Device.
6. the human body behavioural analysis cloud management system according to claim 1 based on Fusion, feature
Be: the plantar pressure detection subsystem further includes power supply module and analog-to-digital conversion module, and the power supply module and vola are pressed
Power control module is connected, and the power supply module is powered using piezoelectric ceramics, and piezoelectric patches deformation is converted to energy output,
Without changing battery, wherein power supply module is placed in heel；
The human body attitude detection subsystem further includes power supply module, is connect with attitude detection control module.
7. the human body behavioural analysis cloud management system according to claim 1 based on Fusion, feature
Be: the plantar pressure control module is specifically used for obtaining the plantar pressure data of the pressure sensor detection, the pressure
Force snesor is 6.
8. the human body behavioural analysis cloud management system according to claim 1 based on Fusion, feature
Be: described image video detection subsystem further includes camera, for detecting the inclination angle of human body horizontal direction, the camera
It is worn on chest, acquired image can reflect the position in the integral inclined direction of human body.
9. the human body behavioural analysis cloud management system according to claim 1 based on Fusion, feature
Be: the attitude detection subsystem is worn on waist, and waist area is attended to anything else the top and the bottom of body, the walking about of human body, whole body posture
Realization be unable to do without waist coordination；
The attitude detection control module acquisition accelerometer gyroscope and Geomagnetism Information, and according to HMM, KNN and RNN model pair
The acquired information of attitude detection control module is handled, and carries out tumble judgement according to processing result；When judging to fall,
Generate tumble information；
Camera information, human body attitude information, plantar pressure information, blood pressure-pulse information and tumble judging result pass through nothing
Line communications judges human body behavior to user terminal, and according to processing, are sent to associate device, send data to cloud and take
Business device.
10. the human body behavioural analysis cloud management system according to claim 1 based on Fusion, feature
It is: the system also includes human body behavioural analysis device, associated terminal, user terminal and cloud server, the human body row
It is connect by wireless communication for analytical equipment with the associated terminal；Wherein,
The associated terminal, for obtaining 9 axis information of accelerometer gyroscope and earth magnetism comprising human body attitude, plantar pressure letter
Breath, image information, blood pressure-pulse information；
The associated terminal includes guardian's mobile terminal；
Guardian's mobile terminal for reception alarm or help information, or is checked the detection data by cloud, is judged
User behavior；
The user terminal be used for receives by be wirelessly transferred come up described image video data, human body attitude detection data,
Plantar pressure detection data, blood pressure-pulse data are simultaneously sent to Cloud Server and carry out record preservation；
The user terminal is also used to described image data, human body attitude detection data, plantar pressure detection data and blood pressure-
Pulse information is analyzed, and analysis statistical result is presented in graphical form, and when user falls, tumble information is sent to prison
Protect people's mobile terminal；
The user terminal is also used to the setting that the app by configuring carries out mode or parameter to the detection device, convenient suitable
For different crowd；
The user terminal is also used to send the detection data to cloud server；
The cloud server is used for doctor and guardian for receiving the detection data and preservation that the user terminal is sent
Deng inquiry.
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| CN111493882A (en) * | 2020-06-02 | 2020-08-07 | 上海健康医学院 | Old people falling prediction and exercise rehabilitation intervention guidance system and method |
| CN111588383A (en) * | 2020-05-21 | 2020-08-28 | 上海体育学院 | Multi-dimensional comprehensive assessment falling risk prediction device |
| CN111614703A (en) * | 2019-02-25 | 2020-09-01 | 南京爱体智能科技有限公司 | Method for combining Internet of things sensor with video analysis |
| CN112784890A (en) * | 2021-01-14 | 2021-05-11 | 泰康保险集团股份有限公司 | Human body falling detection method and system by means of multi-sensor fusion |
| CN112927474A (en) * | 2021-01-21 | 2021-06-08 | 福建省立医院 | Early warning system for old people falling down based on biomechanical monitoring |
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| CN115861871A (en) * | 2022-11-10 | 2023-03-28 | 深圳蓄能发电有限公司 | Multiple verification detection device, method and medium for human body posture detection of field personnel |
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