CN110495874A - A kind of information processing method and electronic equipment - Google Patents
A kind of information processing method and electronic equipment Download PDFInfo
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- CN110495874A CN110495874A CN201910931795.0A CN201910931795A CN110495874A CN 110495874 A CN110495874 A CN 110495874A CN 201910931795 A CN201910931795 A CN 201910931795A CN 110495874 A CN110495874 A CN 110495874A
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- 238000003672 processing method Methods 0.000 title claims abstract description 20
- 230000010365 information processing Effects 0.000 title claims abstract description 19
- 230000000694 effects Effects 0.000 claims abstract description 168
- 238000000034 method Methods 0.000 claims abstract description 40
- 230000002159 abnormal effect Effects 0.000 claims abstract description 20
- 210000002683 foot Anatomy 0.000 claims description 168
- 230000033001 locomotion Effects 0.000 claims description 95
- 230000001133 acceleration Effects 0.000 claims description 76
- 230000005540 biological transmission Effects 0.000 claims description 38
- 210000003423 ankle Anatomy 0.000 claims description 37
- 210000000707 wrist Anatomy 0.000 claims description 32
- 230000037396 body weight Effects 0.000 claims description 9
- 230000001960 triggered effect Effects 0.000 claims description 8
- 230000037237 body shape Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 abstract description 44
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- 230000005856 abnormality Effects 0.000 description 6
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- 208000003443 Unconsciousness Diseases 0.000 description 4
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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
- A61B5/1116—Determining posture transitions
- A61B5/1117—Fall detection
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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
- A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
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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
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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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
- A61B5/68—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
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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
- A61B5/74—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
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
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Abstract
This application involves a kind of information processing method and electronic equipments, this method is by being bound at least one wearable device of human body, acquisition includes at least the body state data of the first exercise data of the non-foot of having an effect of human body, and then body state is identified based on human body status data, and in the case where body state exception, automatic trigger notification event.Based on application scheme, obviously the manual trigger notice event of person such as need not be fallen down by abnormal state person, and since the wearable device by being bound to human body carries out body state information collection, to, requirement in terms of without detection zone is not required to for particular detection region, thus, in any place/any region can effectively detect the situation of falling down of the special personnels such as old man, sufferer, and automatic trigger alert notice event.In addition, the exercise data based on the non-foot of having an effect of human body carries out body state detection, testing result also may make to have higher accuracy.
Description
Technical field
The application belongs to intelligent monitor technical field more particularly to a kind of information processing method and electronic equipment.
Background technique
In the daily monitoring scene towards special personnels such as old man, sufferers, falling down for the personnel such as old man or sufferer is known
Situation simultaneously notifies emergency contact rapidly to take associated safety/rescue measure, is a very real problem.
Currently, after the personnel such as old man or sufferer fall down, a kind of common settling mode is to pass through certain by the person of falling down oneself
A equipment, such as mobile phone or bracelet, carry out trigger notice event, and it is awake which, which requires the person of falling down, and will use mobile phone or
The electronic equipments such as bracelet execute corresponding operating；Another common settling mode is, passes through image recognition, ultrasonic wave or infrared
Technology etc. falls down situation judging personnel and triggers alert notice, and which can only be in particular place (such as hospital, home for destitute)
It is mounted with the specific region of the detection devices such as camera, ultrasonic sensor, infrared sensor, ability effectively testing staff's falls
State.
There is provided as a result, it is a kind of more preferably can in any place/any region effectively detect the special personnels such as old man, sufferer
The implementation of situation and automatic trigger alert notice event is fallen down, it is very necessary for this field.
Summary of the invention
In view of this, the application's is designed to provide a kind of information processing method and electronic equipment, it is existing for overcoming
Technology existing many restrictions when carry out personnel fall down detection and alert notice realize in any place/any equal energy in region
That effectively detects the special personnels such as old man, sufferer falls down situation, and automatic trigger alert notice event.
For this purpose, the application is disclosed directly below technical solution:
A kind of information processing method, this method comprises:
Obtain the body state data for being bound at least one wearable device transmission of human body；The body state data
Including at least the first exercise data of the non-foot of having an effect of human body, the non-foot of having an effect is that human body is mainly used for propping up when falling down
Support the another foot except the foot of having an effect of human body weight；
Based on the body state data, body state is identified；
If the body state identified indicates that body state is abnormal, the notice thing for indicating body state exception is triggered
Part.
The above method, it is preferable that described to obtain the body state for being bound at least one wearable device transmission of human body
Data, comprising:
Obtain the electrocardiogram (ECG) data and exercise data for being bound to the human body of at least one wearable device transmission of human body；Its
In, the exercise data includes at least the first movement for being bound to the non-foot of having an effect of wearable device transmission of human foot wrist position
Data.
The above method, it is preferable that the exercise data further includes the wearable device transmission for being bound to human body wrist position
The second exercise data.
The above method, it is preferable that it is described to be based on the body state data, identify body state, comprising:
The heart rate of human body is determined based on the electrocardiogram (ECG) data；
Acceleration of motion and the inclination angle of the non-foot of having an effect of human body are determined based on first exercise data；
It determines whether the heart rate, the acceleration of motion and the inclination angle meet and scheduled falls down condition；
If satisfied, then determining that human body is in falls down state.
The above method, it is preferable that it is described to be based on the body state data, identify body state, comprising:
Obtain human body electrocardio data, the data of non-have an effect foot ankle exercise data and Wrist-sport data fallen down under state
Record；
Determine obtain the electrocardiogram (ECG) data, first exercise data and second exercise data whether respectively with institute
State human body electrocardio data, the data record of non-have an effect foot ankle exercise data and Wrist-sport data matches；
If matching, it is determined that human body is in and falls down state out.
The above method, it is preferable that if the body state identified indicates that body state is abnormal, trigger for indicating people
The notification event of body abnormal state, comprising:
If the body state identified indicates that human body is in and falls down state, it is used for based on the triggering of pre-stored contact details
Indicate the notification event of falling over of human body.
A kind of electronic equipment, comprising:
Memory, at least storing one group of instruction set；
Processor, for calling and executing the described instruction collection in the first memory, by executing described instruction collection
It carries out the following processing:
Obtain the body state data for being bound at least one wearable device transmission of human body；The body state data
Including at least the first exercise data of the non-foot of having an effect of human body, the non-foot of having an effect is that human body is mainly used for propping up when falling down
Support the another foot except the foot of having an effect of human body weight；
Based on the body state data, body state is identified；
If the body state identified indicates that body state is abnormal, the notice thing for indicating body state exception is triggered
Part.
Above-mentioned electronic equipment, it is preferable that the processor obtains at least one wearable device transmission for being bound to human body
Body state data, specifically, comprising:
Obtain the electrocardiogram (ECG) data and exercise data for being bound to the human body of at least one wearable device transmission of human body；Its
In, the exercise data includes at least the first movement for being bound to the non-foot of having an effect of wearable device transmission of human foot wrist position
Data.
Above-mentioned electronic equipment, it is preferable that the processor is based on the body state data, identifies body state, specifically
Include:
The heart rate of human body is determined based on the electrocardiogram (ECG) data；
Acceleration of motion and the inclination angle of the non-foot of having an effect of human body are determined based on first exercise data；
It determines whether the heart rate, the acceleration of motion and the inclination angle meet and scheduled falls down condition；
If satisfied, then determining that human body is in falls down state.
Above-mentioned electronic equipment, it is preferable that the exercise data further includes the wearable device for being bound to human body wrist position
Second exercise data of transmission；
The processor is based on the body state data, identifies body state, specifically includes:
Obtain human body electrocardio data, the data of non-have an effect foot ankle exercise data and Wrist-sport data fallen down under state
Record；
Determine obtain the electrocardiogram (ECG) data, first exercise data and second exercise data whether respectively with institute
State human body electrocardio data, the data record of non-have an effect foot ankle exercise data and Wrist-sport data matches；
If matching, it is determined that human body is in and falls down state out.
As it can be seen from the above scheme information processing method provided by the present application and electronic equipment, by being bound to human body extremely
A few wearable device, acquisition include at least the body state data of the first exercise data of the non-foot of having an effect of human body, Jin Erji
Body state is identified in human body status data, and in the case where body state exception, automatic trigger notification event.It is based on
Application scheme, it is clear that the manual trigger notice event of person such as need not be fallen down by abnormal state person, and due to by being bound to human body
Wearable device carry out body state information collection, thus, the requirement in terms of no detection zone is not required to for particular detection area
Domain, thus, in any place/any region can effectively detect the situation of falling down of the special personnels such as old man, sufferer, and touch automatically
Hair alarm notification event.In addition, the exercise data based on the non-foot of having an effect of human body carries out body state detection, detection also may make to tie
Fruit has higher accuracy.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of application for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is that the localized network being made of electronic equipment and wearable device that one alternative embodiment of the application provides is illustrated
Figure；
Fig. 2 is a kind of flow diagram for the information processing method that one alternative embodiment of the application provides；
Fig. 3 is the unconscious signal for stretching out non-foot of having an effect in the case of the falling over of human body that one alternative embodiment of the application provides
Figure；
Fig. 4 is that value of the acceleration for the non-foot of having an effect that one alternative embodiment of the application provides under different human body state is bent
Line schematic diagram；
Fig. 5 is another flow diagram for the information processing method that one alternative embodiment of the application provides；
Fig. 6 be one alternative embodiment of the application provide have an effect foot ankle and two wrists bind wearable set respectively non-
The standby schematic diagram to acquire body state data；
Fig. 7 is the offer of one alternative embodiment of the application based on electrocardiogram (ECG) data and non-foot exercise data progress human body shape of having an effect
The schematic diagram of state identification and automatic alarm notice；
Fig. 8 is the three lead electrocardiogram (ECG) data schematic diagrames that one alternative embodiment of the application provides；
Fig. 9 is the offer of one alternative embodiment of the application based on electrocardiogram (ECG) data, non-foot exercise data and the Wrist-sport had an effect
Data carry out the schematic diagram of body state identification and automatic alarm notice；
Figure 10 is another flow diagram for the information processing method that one alternative embodiment of the application provides；
Figure 11 is the structural schematic diagram for the electronic equipment that one alternative embodiment of the application provides.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
This application provides a kind of information processing method and electronic equipment, it is mainly used at least acquiring based on wearable device
The non-foot exercise data of having an effect of human body, carry out body state detection, and under the situation for detecting body state exception, automatic touching
It sends out public notice event, carries out body state detection, the inspection of Lai Tisheng body state to pass through the exercise data based on the non-foot of having an effect of human body
The accuracy of survey, while overcoming the prior art existing many restrictions when carry out personnel fall down detection and alert notice, it realizes
In any place/any region can effectively detect the situation of falling down of the special personnels such as old man, sufferer, and automatic trigger alarm is logical
County magistrate's part.
In one alternative embodiment of the application, a kind of information processing method is provided firstly, which can be with
Applied in electronic equipment, the electronic equipment can be but not limited to smart phone, tablet computer, personal digital assistant, wear
Wear formula equipment, any one in PC machine, or can also be arranged in fixed position and can be bound to the wearable of human body
One processing apparatus/processing equipment that equipment (for acquiring body state data) is communicated, the processing apparatus/processing equipment is extremely
Has operation processing function less.Wherein, in the case where the information processing method is applied to a wearable device, this is wearable
Equipment can be same equipment or distinct device with the wearable device for the progress body state data acquisition for being bound to human body.
As shown in Figure 1, in the electronic equipment of the executing subject as the application method, with the wearing for being bound to human body
In the case that formula equipment is distinct device, which constitutes an office at least one wearable device for being bound to human body
Portion's network, in the localized network, at least one wearable device for being bound to human body is used to acquire as edge collecting equipment
Body state data, and electronic equipment is then used as central processor equipment, passes through the human body acquired at least one wearable device
Status data is handled, to identify body state.
Referring to Fig.2, a kind of flow diagram of information processing method of the application is shown, in the present embodiment, at the information
Reason method includes following processing step:
Step 201, acquisition are bound to the body state data of at least one wearable device transmission of human body；The human body
Status data includes at least the first exercise data of the non-foot of having an effect of human body, and the non-foot of having an effect is that human body is main when falling down
The another foot being used to support except the foot of having an effect of human body weight.
Body state detection in the application, is primarily referred to as the detection to falling over of human body state.
When human body is fallen down forward, as shown in figure 3, subconsciousness can be based on, instinct stretches out a foot rapidly to prevent from falling
, and when human body is fallen down backward, a foot support can be kept motionless by the light of nature, and another foot then can be by unconscious lift
Rise, the stretching for preventing the foot fallen down or by the unconscious foot lifted, human body weight will not be risen in falling over of human body
To supporting role (or will not at least play main supporting role to human body weight), thus the embodiment of the present application is referred to as
Non- foot of having an effect, in contrast, the another foot except non-foot of having an effect can then play main branch in falling over of human body to human body weight
Support effect, the application are referred to as foot of having an effect.
Inventor it has been investigated that, in falling over of human body, non-foot of having an effect has distinct, special motion feature, e.g., human body
When falling down, non-foot of having an effect can generate a biggish acceleration suddenly, the acceleration of the non-foot of having an effect of human body in falling over of human body
Feature specifically sees Fig. 4, and Fig. 4 shows human body and (falls down, walking, goes downstairs, sits down-stand up, quickly sits in different conditions
Under, lie down, jog, squatting down-standing up, mobile phone it is daily) under, the correlation curve of non-foot acceleration of having an effect, and in falling over of human body wink
Between, non-foot of having an effect can be generated such as the corresponding larger acceleration value of P point in Fig. 4；In addition, non-foot of having an effect is corresponding falling down moment
Ankle or leg also have a biggish variation compared to the inclination angle of vertical/horizontal direction and do not fall down under state e.g., In
It stands, walk or when sitting and lying, the angle of the corresponding ankle of non-foot of having an effect or leg and vertical/horizontal direction is more stable, variation
Less and when falling down, non-foot of having an effect can be because popping or biggish change of pitch angle occurs for unconscious be lifted due to.
Based on the feature of non-foot of having an effect, the peculair motion data of non-foot of having an effect are introduced falling over of human body state by the application
Detection in.In specific implementation, wearing at least can be bound in the ankle (can also be shank position certainly) of the non-foot of having an effect of human body
Formula equipment (such as foot ring), at least to acquire the peculair motion data of the non-foot of having an effect of human body, peculair motion data collected include
But first exercise datas such as acceleration and the inclination data for being not limited to non-foot of having an effect, later, by first exercise data of acquisition
For in the detection identification of body state.
Wherein, in the case where the executing subject of the application method is to be bound to the wearable device of the non-foot of having an effect of human body,
Directly by the wearable device first exercise data that acquisition acquires inside equipment of itself to carry out state recognition processing,
And in the case where the executing subject of the application method is to be different from the wearable device of the non-foot of having an effect, then it is based on communication link
The first exercise data for taking wearable device to acquire is obtained, which can be but not limited to be based on Zigbee, Wi-Fi
The wireless communication connection of (action hot spot), 3G/4G/5G (third/tetra-/five third-generation mobile communication technologies) etc., or it is based on data line
Wire communication connection.
Optionally in addition, wearable device can also be bound at other positions of human body, to acquire being different from for human body
The regular motion data of the non-foot of having an effect, which will be described in detail hereinafter as one embodiment.
Step 202 is based on the body state data, identifies body state.
In the people for the first exercise data including at least the non-foot of having an effect of human body for obtaining the transmission of at least one wearable device
After body status data, body state identification is carried out based on human body status data.
Such as, optionally, whether the first exercise data identification human body based on the non-foot of having an effect of human body meets under the state of falling down
Motion feature, or, the regular motion of the first exercise data (peculair motion data) and other positions based on the non-foot of having an effect of human body
Data, whether identification human body meets the motion feature etc. under the state of falling down, and then identifies whether human body is fallen down.
If step 203, the body state identified indicate that body state is abnormal, trigger for indicating body state exception
Notification event.
Body state herein is abnormal, is primarily referred to as human body and is in fall down state.
Wherein, if identify human body be in fall down state, by the executing subject of the application method, such as be bound to human body
Wearable device establish smart phone, tablet computer or the calculating treatmenting equipment of fixed setting of communication connection etc., automatically
Alert notice event is triggered, to notify related emergency contact person, monitor center and/or hospital to help the person of falling down.
The present embodiment is in the case where body state exception, automatic trigger notification event, it is not necessary to such as be fallen by abnormal state person
The manual triggering of the progress of falling person notification event, and adopted since the wearable device by being bound to human body carries out body state information
Collection, thus, the requirement in terms of no detection zone is not required to for particular detection region, and in any place/any region can be effective
The special personnels such as detection old man, sufferer fall down situation, and automatic trigger alert notice event.In addition, non-foot of having an effect is in human body
With distinct, special motion feature when falling down, the exercise data based on the non-foot of having an effect of human body carries out body state detection, can make
It obtains testing result and has higher accuracy.
The realization process of the information processing method of the application is described in further detail below, refering to the letter shown in Fig. 5
The flow diagram of processing method is ceased, this method can be realized by treatment process below:
Step 501, acquisition are bound to electrocardiogram (ECG) data and the movement of the human body of at least one wearable device transmission of human body
Data；Wherein, the exercise data includes at least the non-foot of having an effect for the wearable device transmission for being bound to human foot wrist position
First exercise data.
In addition to non-foot of having an effect is in falling over of human body, there is distinct feature, in falling over of human body moment, human body electrocardio data
An apparent variation can be generated, human body electrocardio curve is intensive suddenly, and corresponding to be, human heart rate can increase suddenly,
Human body electrocardio data are also introduced into the identification of body state by the present embodiment as a result, in conjunction with human body electrocardio data and are included at least
The human body movement datas of non-foot peculair motion data of having an effect (i.e. described first exercise data) identifies body state.
In actual implementation, the electrocardiogram (ECG) data and fortune of human body can be obtained by binding wearable device in human body corresponding site
Dynamic data, wherein the wearable device for acquiring human body electrocardio data is set with for acquiring the wearable of human body movement data
It is standby, it can be same equipment or distinct device；And for acquiring human body electrocardio data and for acquiring human body movement data
The quantity of wearable device can be respectively one or more, and for acquiring human body electrocardio data and being used to acquire human motion
The wearable device of data can be bound to the same area or different parts of human body, and the present embodiment is not limited to the corresponding portion of human body
Wearable device is bound to acquire the specific implementation form of corresponding data in position.
Following exemplary provides a kind of preferably implementation:
As shown in fig. 6, binding corresponding wearing respectively at the ankle position of the non-foot of having an effect of human body and two wrists
Formula equipment, wherein the structural schematic diagram of different parts wearable device as shown in Figure 7, positioned at the ankle position of non-foot of having an effect
Wearable device, include at least obliquity sensor (or angular movement detection device) and acceleration transducer these exercise data senses
Device is surveyed, accordingly can at least be used to acquire the first exercise data of the non-foot of having an effect of human body；Positioned at the wearable of two wrists
Formula equipment includes at least the electrocardiogram (ECG) datas sensing devices such as EGC sensor, accordingly can at least be used to acquire human body electrocardio data.
It more preferably,, can also human body is non-to be had an effect being bound to refering to Fig. 7 in order to more fully obtain human body electrocardio data
Human body electrocardio-data collection function is set in the wearable device of foot, that is, in the institute for non-foot exercise data detection of having an effect
EGC sensor is stated in wearable device while being provided with, in addition to this, each wearable device can also include battery, micro process
The component parts such as device, communication module.Obliquity sensor (or angular movement detection device), acceleration transducer, EGC sensor, point
Inclination data, acceleration information and the human body electrocardio data of the non-foot of having an effect of human body Yong Yu not be acquired, microprocessor acquisition is acquired
These data, and the data of acquisition are transferred to by communication module and are used to provide the electronic equipment of central processing function.Its
In, illustratively, as shown in fig. 7, can be transferred to the electronic equipments such as mobile phone for providing central processing function to identify human body
In an APP (application program) for state.The APP is respectively worn by communication module such as (Zigbee communication module) reception of electronic equipment
The electrocardiogram (ECG) data and acceleration, these exercise datas of inclination angle of the transmission of formula equipment are worn, and is based respectively on the acceleration calculation mould of itself
Block, Dip countion module, three lead ECG modules obtain the acceleration value of human body, incline by calculating corresponding data
Angle numerical value and heart rate value.
In non-limiting manner, in wearable device, the acceleration transducer can be 3-axis acceleration sensor, described
Angular movement detection device can be three-axis gyroscope, and the microprocessor can be CC2430 microprocessor, the communication module
It can be Zigbee module, in the example in figure 7, based on the electrocardio-data collection function of three wearable devices, electronic equipment
Three lead electrocardiogram (ECG) datas as shown in Figure 8 finally can be obtained.
Step 502, the heart rate that human body is determined based on the electrocardiogram (ECG) data.
The heart rate of human body can be specifically determined based on the three leads electrocardiogram (ECG) data.
Step 503, acceleration of motion and the inclination angle that the non-foot of having an effect of human body is determined based on first exercise data.
The acceleration of motion of the non-foot of having an effect of human body, specifically can be by the 3-axis acceleration that acquires to 3-axis acceleration sensor
Component data is calculated；The inclination angle of the non-foot of having an effect of human body is often referred to the ankle of the non-foot of having an effect of human body compared to vertical/water
Square to inclination angle, accordingly can based on obliquity sensor acquire angle-data or based on three-axis gyroscope acquisition angular movement
Data determine.
Step 504 determines whether the heart rate, the acceleration of motion and the inclination angle meet and scheduled falls down condition.
This falls down condition, including it is predetermined can be used to embody fall down under state human heart rate's feature and non-foot fortune of having an effect
The condition of dynamic feature, correspondingly, this, which falls down condition again, can be subdivided into heart rate condition and motion feature condition.
As an example, the heart rate condition can be but not limited to:
First threshold of the variation ratio of heart rate beyond setting.
Wherein, the variation ratio Δ R of heart rateHRForHRiIndicate present sample when heart rate sample
The heart rate value of point, HR(i-1)Indicate the heart rate value of heart rate sample Shi Shangyi sampled point.
The motion feature condition can include but is not limited to:
1) second threshold of the acceleration change ratio of the non-foot of having an effect of human body beyond setting；
2) ankle of the non-foot of having an effect of human body is compared to the variation ratio at the inclination angle of vertical/horizontal direction beyond the third of setting
Threshold value.
Wherein, the acceleration change ratio Δ R of the non-foot of having an effect of human bodyaForaiIndicate acceleration sampling
When current sampling point acceleration value, a(i-1)Indicate the acceleration value of acceleration sampling Shi Shangyi sampled point.The non-foot of having an effect of human body
Ankle compared to vertical/horizontal direction inclination angle variation ratio Δ RωForωiIndicate inclination angle sampling
When current sampling point inclination value, ω(i-1)Indicate the inclination value of inclination angle sampling Shi Shangyi sampled point.
In electrocardiogram (ECG) data and exercise data based on acquisition, the practical acceleration of the practical heart rate of human body and non-foot of having an effect is determined
Degree, behind inclination angle, by the actual acceleration of the practical heart rate of human body and non-foot of having an effect, inclination angle respectively with above-mentioned heart rate condition and non-hair
Power foot motion feature condition is compared, and determines whether the practical heart rate of human body meets above-mentioned heart rate condition, and determines non-hair
Whether the actual acceleration of power foot, inclination angle meet the above-mentioned condition 1 in above-mentioned non-foot motion feature condition of having an effect respectively) and item
Part 2), to determine the practical heart rate feature of human body and the heart rate spy that actually whether non-foot motion feature of having an effect is characterized with the condition of falling down
Sign and non-foot motion feature of having an effect are consistent.
Step 505, if satisfied, then determine human body be in fall down state.
Wherein, if the practical heart rate of human body meets above-mentioned heart rate condition, the actual acceleration of non-foot of having an effect, inclination angle difference
Meet the above-mentioned condition 1 in above-mentioned non-foot motion feature condition of having an effect) and condition 2), then human body shows has under the state of falling down
Standby heart rate feature and non-foot motion feature of having an effect, are accordingly identified as the state of falling down for body state.
Conversely, if the practical heart rate of human body is unsatisfactory for the actual acceleration of above-mentioned heart rate condition and/or non-foot of having an effect, inclines
Angle is unsatisfactory for the above-mentioned condition 1 in above-mentioned non-foot motion feature condition of having an effect respectively) and condition 2), also mean that human body is not in
Reveal the heart rate feature under the state of falling down and non-foot motion feature of having an effect, is accordingly identified as body state not fall down state.
If step 506, the body state identified indicate that human body is in and fall down state, it is based on pre-stored contact details
Trigger the notification event for indicating falling over of human body.
Contact details are prefixed in electronic equipment for providing central processing function, which is usually can be effective
It notifies the information of corresponding emergency contact (such as household), monitor center and/or hospital, can be such as emergency contact, monitoring
The monitoring platform IP address of one or more phone numbers of center and/or hospital, telephone number or a certain monitor center.
Once identifying body state exception, such as identify that human body is in state of falling down, electronic equipment just deposit in advance by basis
The contact details of storage are based on respective communication technology (such as mobile communication technology), and triggering is directed to the alert notice thing of the abnormality
Part, such as Advise By Wire (playing notice recording after connection automatically), short message notification, to monitoring platform feedback representation human body abnormal
Notification information etc., to notify related emergency contact person, monitor center or hospital to help the person of falling down.
The present embodiment combination human body electrocardio data and non-foot exercise data of having an effect carry out body state detection, since human body is fallen
With distinct heart rate feature and non-foot motion feature of having an effect when, to can more precisely carry out people in conjunction with both data
Body falls down the identification of state, meanwhile, the requirement in terms of no detection zone is not required to for particular detection region, in any place/appoint
What region can effectively detect the situation of falling down of the special personnels such as old man, sufferer, and automatic trigger alert notice event.
In one alternative embodiment of the application, when carrying out body state identification, used exercise data is in addition to including people
The peculair motion data (i.e. described first exercise data) of the non-foot of having an effect of body, can also include non-foot of having an effect except human body its
Second exercise data at his position, wherein optionally, which can include but is not limited to be bound to human body wrist
Second exercise data such as the acceleration of the human body wrist of the wearable device transmission at position and inclination angle.
In this case, as shown in figure 9, being bound to the different wearable devices of human body different parts, it is capable of providing the heart
Electric data collecting function and exercise data acquisition function correspondingly may each comprise acceleration transducer, obliquity sensor (angle
Motion detection apparatus), EGC sensor, with the electrocardiogram (ECG) data and exercise data for acquiring human body, in addition to this it is possible to wrap
Include these building blocks of microprocessor, communication module, battery.
Corresponding to above situation, the flow diagram of the information processing method shown in 0 refering to fig. 1, the information processing method
It can also be realized by treatment process below:
Step 1001, acquisition are bound to electrocardiogram (ECG) data and the movement of the human body of at least one wearable device transmission of human body
Data.Wherein, the exercise data includes the first of the non-foot of having an effect for the wearable device transmission for being bound to human foot wrist position
Exercise data, and it is bound to the second exercise data of the human body wrist of the wearable device transmission at human body wrist position.
First exercise data and the second exercise data, and it is refined as the acceleration information of human body corresponding site respectively (such as
3-axis acceleration component) and inclination data (or angular movement data).
Step 1002 obtains the human body electrocardio data fallen down under state, non-foot ankle exercise data and the Wrist-sport had an effect
The data record of data.
It is different from an embodiment and passes through the raw acceleration data and electrocardiogram (ECG) data progress relevant calculation (calculating to acquisition
Acceleration value, calculating heart rate etc.), and condition criterion is carried out to calculated result, to identify that body state, the present embodiment directly pass through
Current human's status data of acquisition is matched with historgraphic data recording when body state exception, to identify body state
It is whether abnormal.
In this implementation, it for this abnormality of falling over of human body, is necessarily required to obtain falling over of human body state
Under electrocardiogram (ECG) data, non-have an effect foot ankle exercise data and Wrist-sport data historgraphic data recording as matching foundation.
It should be noted that the historgraphic data recording of the falling over of human body state of some or a few individual, has even
Hair property cannot reflect general data rule or feature under falling over of human body state, in consideration of it, obtained as matching foundation
Historgraphic data recording, it is therefore preferable to high-volume historical data, and under normal conditions, this is as the historgraphic data recording for matching foundation
Data volume is bigger, corresponding source human body quantity is more, the reference value as data foundation is bigger, can more reflect human body
Under the state of falling down electrocardio and movement in terms of data universal law or feature, more accurate human body shape accordingly more can be obtained
State recognition result.
Step 1003 determines that the electrocardiogram (ECG) data, first exercise data and second exercise data that obtain are
The no data record respectively with the human body electrocardio data, non-have an effect foot ankle exercise data and Wrist-sport data matches.
If step 1004, matching, it is determined that human body is in and falls down state out.
The current electrocardiogram (ECG) data of the human body that will acquire, the first exercise data and the second exercise data, respectively with falling over of human body
The batch electrocardiogram (ECG) data of state, non-have an effect foot ankle exercise data and Wrist-sport data historgraphic data recording match, have
Body can refer to: by the data characteristics of the current electrocardiogram (ECG) data of human body, the first exercise data and the second exercise data, with based on batch
Amount electrocardiogram (ECG) data, non-have an effect foot ankle exercise data and Wrist-sport data historgraphic data recording (refer to the number under the state of falling down
According to record) extracted electrocardiogram (ECG) data feature and exercise data feature match.And it is determined based on matched degree or confidence level
Whether above-mentioned each current human's status data matches unanimously with the historgraphic data recording under falling over of human body state, if unanimously,
It can determine that human body is in and fall down state, otherwise, then human body is in and does not fall down state.
In specific implementation, it is preferable that historgraphic data recording (the electrocardio number under batch falling over of human body state can be obtained in advance
According to, non-foot ankle exercise data and Wrist-sport data had an effect) and the non-historgraphic data recording (heart fallen down under state of human body
Electric data, non-foot ankle exercise data and the Wrist-sport data had an effect) it is used as sample data, mono- AI (Artificial of Lai Xunlian
Intelligence, artificial intelligence) processing model.Algorithm used by model training can be but not limited to K-means cluster
Algorithm, in the historgraphic data recording of batch, the same time, same human body above-mentioned three classes data as a sample, model base
Constantly learn falling over of human body state in training process and non-falls down the characteristics of human body that each sample data is embodied under state.
After completing model training, the electrocardiogram (ECG) data current for the human body of acquisition, first exercise data and
Second exercise data, can be inputted AI processing model, inside model by the characteristics of human body of input data reflection with
Its characteristics of human body based on big data study matches, and output model processing result, the output result of model generally include
Body state belongs to the confidence data for the state of falling down.
Wherein, if the numerical value of the confidence level reaches a preset confidence threshold value, determine that body state is to fall
State is otherwise, corresponding to determine that body state is not fall down state if the not up to confidence threshold value.
If step 1005, the body state identified indicate that human body is in and fall down state, believed based on pre-stored connection
Breath triggers the notification event for indicating falling over of human body.
Once identifying body state exception, such as identify that human body is in state of falling down, electronic equipment just deposit in advance by basis
The contact details of storage are based on respective communication technology (such as mobile communication technology), and triggering is directed to the alert notice thing of the abnormality
Part, such as Advise By Wire (playing notice recording after connection automatically), short message notification, to monitoring platform feedback representation human body abnormal
Notification information etc., to notify related emergency contact person, monitor center or hospital to help the person of falling down.
It should be noted that the movement of falling over of human body moment wrist is compared to the Wrist-sport under normal condition, no spy
Not distinct motion feature, in normal state such as human body, wrist generally may based on performed work, labour,
Activity and show diversified motion feature, the Wrist-sport feature under falling over of human body state be not easy to particularly obviously with
Motion feature under these normal conditions is distinguished, and carries out human body in the condition criterion mode based on a upper embodiment as a result,
When state recognition, it is difficult to set suitable decision condition for the exercise data of wrist, in view of this feature, is being based on item
In the body state identification of part decision procedure, the embodiment of the present application targetedly uses electrocardiogram (ECG) data and the non-foot of having an effect of human body
Peculair motion data these have in falling over of human body distinct characteristic show body state data, take part in body state knowledge
Not, based on these data in condition criterion mode can it is more acurrate, human bioequivalence is effectively performed.
The movement of falling over of human body moment wrist is compared to the Wrist-sport under normal condition, although without particularly apparent spy
Levy difference, but difference between the two be still it is existing, e.g., the Wrist-sport for falling down moment often happens suddenly in terms of time performance
Property it is stronger, generally having bigger kinematic parameter variation within the shorter time, (certain this feature is compared under normal condition
Wrist-sport is not particularly evident), although these features are not that feature is obvious compared to the Wrist-sport difference under normal condition,
But in the model training based on big data, it still is able to be captured and learnt from high-volume training sample by model, this equally may be used
To provide help for body state identification, as a result, in the match cognization mode based on high-volume historical data, as based at AI
In the identification method for managing model, the application is then in conjunction with the peculair motion number using human body electrocardio data, the non-foot of having an effect of human body
Accordingly and the exercise data of human body wrist, progress body state identification are showed by the different classes of body state data of combination
Feature out is, it can be achieved that highly accurately identify body state in the state recognition based on AI model.
Corresponding to above-mentioned information processing method, present invention also provides a kind of electronic equipment, which be can be
But it is not limited to smart phone, tablet computer, personal digital assistant, wearable device, any one in PC machine, or can be with
It is that fixed position is set and can be communicated with the wearable device (for acquiring body state data) for being bound to human body
One processing apparatus/processing equipment, the processing apparatus/processing equipment at least have operation processing function.Wherein, it is set in the electronics
In the case where for a wearable device, which can be with the progress body state data acquisition for being bound to human body
Wearable device is same equipment or distinct device.
As shown in Figure 1, in the case where the electronic equipment is distinct device with the wearable device for being bound to human body,
The electronic equipment constitutes a localized network at least one wearable device for being bound to human body and ties up in the localized network
At least one wearable device due to human body is used to acquire body state data as edge collecting equipment, and electronic equipment is then
As central processor equipment, handled by the body state data acquired at least one wearable device, to identify people
Body state.
The structural schematic diagram of electronic equipment shown in 1 refering to fig. 1, the electronic equipment may include:
Memory 1101, at least storing one group of instruction set；
Processor 1102, for calling and executing the described instruction collection in the first memory, by executing the finger
Collection is enabled to carry out the following processing:
Obtain the body state data for being bound at least one wearable device transmission of human body；The body state data
Including at least the first exercise data of the non-foot of having an effect of human body, the non-foot of having an effect is that human body is mainly used for propping up when falling down
Support the another foot except the foot of having an effect of human body weight；
Based on the body state data, body state is identified；
If the body state identified indicates that body state is abnormal, the notice thing for indicating body state exception is triggered
Part.
In addition to the memory and the processor, the electronic equipment can also be set according to function, including but unlimited
In for being communicated with wearable device communication module (such as Zigbee module, Wi-Fi module), for carrying out accelerometer
The acceleration calculation module of calculation, the Dip countion module for Dip countion, three leads for obtaining three lead electrocardiogram (ECG) datas
ECG module, and communication module (such as 3G/4G/ for being communicated with emergency contact, hospital and/or monitor center etc.
5G module, GPRS wireless communication module etc.).
Body state detection in the application, is primarily referred to as the detection to falling over of human body state.
Has the characteristics that distinct motion feature in falling over of human body based on non-foot of having an effect, the application is by the spy of non-foot of having an effect
Different exercise data introduces in the detection of falling over of human body state.In specific implementation, can at least the ankle of the non-foot of having an effect of human body (when
So can also be shank position) binding wearable device (such as foot ring), at least to acquire the peculair motion number of the non-foot of having an effect of human body
According to, peculair motion data collected include but is not limited to first exercise datas such as acceleration and the inclination data of non-foot of having an effect,
Later, first exercise data of acquisition is used in the detection identification of body state.
Wherein, in the case where the executing subject of the application method is to be bound to the wearable device of the non-foot of having an effect of human body,
Directly by the wearable device first exercise data that acquisition acquires inside equipment of itself to carry out state recognition processing,
And in the case where the executing subject of the application method is to be different from the wearable device of the non-foot of having an effect, then it is based on communication link
The first exercise data for taking wearable device to acquire is obtained, which can be but not limited to be based on Zigbee, Wi-Fi
The wireless communication connection of (action hot spot), 3G/4G/5G (third/tetra-/five third-generation mobile communication technologies) etc., or it is based on data line
Wire communication connection.
Optionally in addition, wearable device can also be bound at other positions of human body, to acquire being different from for human body
The regular motion data of the non-foot of having an effect, which will be described in detail hereinafter as one embodiment.
In the people for the first exercise data including at least the non-foot of having an effect of human body for obtaining the transmission of at least one wearable device
After body status data, body state identification is carried out based on human body status data.
Such as, optionally, whether the first exercise data identification human body based on the non-foot of having an effect of human body meets under the state of falling down
Motion feature, or, the regular motion of the first exercise data (peculair motion data) and other positions based on the non-foot of having an effect of human body
Data, whether identification human body meets the motion feature etc. under the state of falling down, and then identifies whether human body is fallen down.
Wherein, if identifying that human body is in falls down state, by electronic equipment automatic trigger alert notice event, with notice
Related emergency contact person, monitor center and/or hospital help the person of falling down.
The present embodiment is in the case where body state exception, automatic trigger notification event, it is not necessary to such as be fallen by abnormal state person
The manual triggering of the progress of falling person notification event, and adopted since the wearable device by being bound to human body carries out body state information
Collection, thus, the requirement in terms of no detection zone is not required to for particular detection region, and in any place/any region can be effective
The special personnels such as detection old man, sufferer fall down situation, and automatic trigger alert notice event.In addition, non-foot of having an effect is in human body
With distinct, special motion feature when falling down, the exercise data based on the non-foot of having an effect of human body carries out body state detection, can make
It obtains testing result and has higher accuracy.
In one alternative embodiment of the application, the function of the processor 1102 in the electronic equipment specifically can be by following
Treatment process realize:
Obtain the electrocardiogram (ECG) data and exercise data for being bound to the human body of at least one wearable device transmission of human body；Its
In, the exercise data includes at least the first movement for being bound to the non-foot of having an effect of wearable device transmission of human foot wrist position
Data；The heart rate of human body is determined based on the electrocardiogram (ECG) data；The fortune of the non-foot of having an effect of human body is determined based on first exercise data
Dynamic acceleration and inclination angle；It determines whether the heart rate, the acceleration of motion and the inclination angle meet and scheduled falls down condition；If
Meet, it is determined that human body is in and falls down state out；If the body state identified indicates that human body is in and falls down state, based on preparatory
The contact details of storage trigger the notification event for indicating falling over of human body.
In addition to non-foot of having an effect is in falling over of human body, there is distinct feature, in falling over of human body moment, human body electrocardio data
An apparent variation can be generated, human body electrocardio curve is intensive suddenly, and corresponding to be, human heart rate can increase suddenly,
Human body electrocardio data are also introduced into the identification of body state by the present embodiment as a result, in conjunction with human body electrocardio data and are included at least
The human body movement datas of non-foot peculair motion data of having an effect (i.e. described first exercise data) identifies body state.
In actual implementation, the electrocardiogram (ECG) data and fortune of human body can be obtained by binding wearable device in human body corresponding site
Dynamic data, wherein the wearable device for acquiring human body electrocardio data is set with for acquiring the wearable of human body movement data
It is standby, it can be same equipment or distinct device；And for acquiring human body electrocardio data and for acquiring human body movement data
The quantity of wearable device can be respectively one or more, and for acquiring human body electrocardio data and being used to acquire human motion
The wearable device of data can be bound to the same area or different parts of human body, and the present embodiment is not limited to the corresponding portion of human body
Wearable device is bound to acquire the specific implementation form of corresponding data in position.
Following exemplary provides a kind of preferably implementation:
As shown in fig. 6, binding corresponding wearing respectively at the ankle position of the non-foot of having an effect of human body and two wrists
Formula equipment, wherein the structural schematic diagram of different parts wearable device as shown in Figure 7, positioned at the ankle position of non-foot of having an effect
Wearable device, include at least obliquity sensor (or angular movement detection device) and acceleration transducer these exercise data senses
Device is surveyed, accordingly can at least be used to acquire the first exercise data of the non-foot of having an effect of human body；Positioned at the wearable of two wrists
Formula equipment includes at least the electrocardiogram (ECG) datas sensing devices such as EGC sensor, accordingly can at least be used to acquire human body electrocardio data.
It more preferably,, can also human body is non-to be had an effect being bound to refering to Fig. 7 in order to more fully obtain human body electrocardio data
Human body electrocardio-data collection function is set in the wearable device of foot, that is, in the institute for non-foot exercise data detection of having an effect
EGC sensor is stated in wearable device while being provided with, in addition to this, each wearable device can also include battery, micro process
The component parts such as device, communication module.Obliquity sensor (or angular movement detection device), acceleration transducer, EGC sensor, point
Inclination data, acceleration information and the human body electrocardio data of the non-foot of having an effect of human body Yong Yu not be acquired, microprocessor acquisition is acquired
These data, and the data of acquisition are transferred to by communication module and are used to provide the electronic equipment of central processing function.Its
In, illustratively, such as can be transferred to mobile phone electronic equipment for providing central processing function to identify the one of body state
In APP (application program).The APP receives each wearable device by the communication module such as (Zigbee communication module) of electronic equipment
Electrocardiogram (ECG) data and acceleration, these exercise datas of inclination angle of transmission, and it is based respectively on the acceleration calculation module of itself, inclinometer
Module, three lead ECG modules are calculated by calculating corresponding data, obtain acceleration value, tilt values and the heart of human body
Rate value.
In non-limiting manner, in wearable device, the acceleration transducer can be 3-axis acceleration sensor, described
Angular movement detection device can be three-axis gyroscope, and the microprocessor can be CC2430 microprocessor, the communication module
It can be Zigbee module, in the example in figure 7, based on the electrocardio-data collection function of three wearable devices, electronic equipment
Three lead electrocardiogram (ECG) datas as shown in Figure 8 finally can be obtained.
The heart rate of human body can be specifically determined based on the three leads electrocardiogram (ECG) data.
The acceleration of motion of the non-foot of having an effect of human body, specifically can be by the 3-axis acceleration that acquires to 3-axis acceleration sensor
Component data is calculated；The inclination angle of the non-foot of having an effect of human body is often referred to the ankle of the non-foot of having an effect of human body compared to vertical/water
Square to inclination angle, accordingly can based on obliquity sensor acquire angle-data or based on three-axis gyroscope acquisition angular movement
Data determine.
This falls down condition, including it is predetermined can be used to embody fall down under state human heart rate's feature and non-foot fortune of having an effect
The condition of dynamic feature, correspondingly, this, which falls down condition again, can be subdivided into heart rate condition and motion feature condition.
As an example, the heart rate condition can be but not limited to:
First threshold of the variation ratio of heart rate beyond setting.
Wherein, the variation ratio Δ R of heart rateHRForHRiIndicate present sample when heart rate sample
The heart rate value of point, HR(i-1)Indicate the heart rate value of heart rate sample Shi Shangyi sampled point.
The motion feature condition can include but is not limited to:
1) second threshold of the acceleration change ratio of the non-foot of having an effect of human body beyond setting；
2) ankle of the non-foot of having an effect of human body is compared to the variation ratio at the inclination angle of vertical/horizontal direction beyond the third of setting
Threshold value.
Wherein, the acceleration change ratio Δ R of the non-foot of having an effect of human bodyaForaiIndicate acceleration sampling
When current sampling point acceleration value, a(i-1)Indicate the acceleration value of acceleration sampling Shi Shangyi sampled point.The non-foot of having an effect of human body
Ankle compared to vertical/horizontal direction inclination angle variation ratio Δ RωForωiIndicate inclination angle sampling
When current sampling point inclination value, ω(i-1)Indicate the inclination value of inclination angle sampling Shi Shangyi sampled point.
In electrocardiogram (ECG) data and exercise data based on acquisition, the practical acceleration of the practical heart rate of human body and non-foot of having an effect is determined
Degree, behind inclination angle, by the actual acceleration of the practical heart rate of human body and non-foot of having an effect, inclination angle respectively with above-mentioned heart rate condition and non-hair
Power foot motion feature condition is compared, and determines whether the practical heart rate of human body meets above-mentioned heart rate condition, and determines non-hair
Whether the actual acceleration of power foot, inclination angle meet the above-mentioned condition 1 in above-mentioned non-foot motion feature condition of having an effect respectively) and item
Part 2), to determine the practical heart rate feature of human body and the heart rate spy that actually whether non-foot motion feature of having an effect is characterized with the condition of falling down
Sign and non-foot motion feature of having an effect are consistent.
Wherein, if the practical heart rate of human body meets above-mentioned heart rate condition, the actual acceleration of non-foot of having an effect, inclination angle difference
Meet the above-mentioned condition 1 in above-mentioned non-foot motion feature condition of having an effect) and condition 2), then human body shows has under the state of falling down
Standby heart rate feature and non-foot motion feature of having an effect, are accordingly identified as the state of falling down for body state.
Conversely, if the practical heart rate of human body is unsatisfactory for the actual acceleration of above-mentioned heart rate condition and/or non-foot of having an effect, inclines
Angle is unsatisfactory for the above-mentioned condition 1 in above-mentioned non-foot motion feature condition of having an effect respectively) and condition 2), also mean that human body is not in
Reveal the heart rate feature under the state of falling down and non-foot motion feature of having an effect, is accordingly identified as body state not fall down state.
Contact details are prefixed in electronic equipment for providing central processing function, which is usually can be effective
It notifies the information of corresponding emergency contact (such as household), monitor center and/or hospital, can be such as emergency contact, monitoring
The monitoring platform IP address of one or more phone numbers of center and/or hospital, telephone number or a certain monitor center.
Once identifying body state exception, such as identify that human body is in state of falling down, electronic equipment just deposit in advance by basis
The contact details of storage are based on respective communication technology (such as mobile communication technology), and triggering is directed to the alert notice thing of the abnormality
Part, such as Advise By Wire (playing notice recording after connection automatically), short message notification, to monitoring platform feedback representation human body abnormal
Notification information etc., to notify related emergency contact person, monitor center or hospital to help the person of falling down.
The present embodiment combination human body electrocardio data and non-foot exercise data of having an effect carry out body state detection, since human body is fallen
With distinct heart rate feature and non-foot motion feature of having an effect when, to can more precisely carry out people in conjunction with both data
Body falls down the identification of state, meanwhile, the requirement in terms of no detection zone is not required to for particular detection region, in any place/appoint
What region can effectively detect the situation of falling down of the special personnels such as old man, sufferer, and automatic trigger alert notice event.
In one alternative embodiment of the application, when carrying out body state identification, used exercise data is in addition to including people
The peculair motion data (i.e. described first exercise data) of the non-foot of having an effect of body, can also include non-foot of having an effect except human body its
Second exercise data at his position, wherein optionally, which can include but is not limited to be bound to human body wrist
Second exercise data such as the acceleration of the human body wrist of the wearable device transmission at position and inclination angle.
In this case, as shown in figure 9, being bound to the different wearable devices of human body different parts, it is capable of providing the heart
Electric data collecting function and exercise data acquisition function correspondingly may each comprise acceleration transducer, obliquity sensor (angle
Motion detection apparatus), EGC sensor, with the electrocardiogram (ECG) data and exercise data for acquiring human body, in addition to this it is possible to wrap
Include these building blocks of microprocessor, communication module, battery.
Corresponding to above situation, the function of the processor 1102 in the electronic equipment can also be by below processed
Cheng Shixian:
Obtain the electrocardiogram (ECG) data and exercise data for being bound to the human body of at least one wearable device transmission of human body.Its
In, the exercise data includes the first movement number of the non-foot of having an effect for the wearable device transmission for being bound to human foot wrist position
According to, and it is bound to the second exercise data of the human body wrist of the wearable device transmission at human body wrist position；Shape is fallen down in acquisition
The data record of human body electrocardio data, ankle exercise data and Wrist-sport data under state；Determine the electrocardio number obtained
According to, first exercise data and second exercise data whether respectively with the human body electrocardio data, non-foot ankle of having an effect
The data record of exercise data and Wrist-sport data matches；If matching, it is determined that human body is in and falls down state out；If identification
Body state out indicates that human body is in and falls down state, is triggered based on pre-stored contact details for indicating falling over of human body
Notification event.
First exercise data and the second exercise data, and it is refined as the acceleration information of human body corresponding site respectively (such as
3-axis acceleration component) and inclination data (or angular movement data).
It is different from an embodiment and passes through the raw acceleration data and electrocardiogram (ECG) data progress relevant calculation (calculating to acquisition
Acceleration value, calculating heart rate etc.), and condition criterion is carried out to calculated result, to identify that body state, the present embodiment directly pass through
Current human's status data of acquisition is matched with historgraphic data recording when body state exception, to identify body state
It is whether abnormal.
In this implementation, it for this abnormality of falling over of human body, is necessarily required to obtain falling over of human body state
Under electrocardiogram (ECG) data, non-have an effect foot ankle exercise data and Wrist-sport data historgraphic data recording as matching foundation.
It should be noted that the historgraphic data recording of the falling over of human body state of some or a few individual, has even
Hair property cannot reflect general data rule or feature under falling over of human body state, in consideration of it, obtained as matching foundation
Historgraphic data recording, it is therefore preferable to high-volume historical data, and under normal conditions, this is as the historgraphic data recording for matching foundation
Data volume is bigger, corresponding source human body quantity is more, the reference value as data foundation is bigger, can more reflect human body
Under the state of falling down electrocardio and movement in terms of data universal law or feature, more accurate human body shape accordingly more can be obtained
State recognition result.
The current electrocardiogram (ECG) data of the human body that will acquire, the first exercise data and the second exercise data, respectively with falling over of human body
The batch electrocardiogram (ECG) data of state, non-have an effect foot ankle exercise data and Wrist-sport data historgraphic data recording match, have
Body can refer to: by the data characteristics of the current electrocardiogram (ECG) data of human body, the first exercise data and the second exercise data, with based on batch
Amount electrocardiogram (ECG) data, non-have an effect foot ankle exercise data and Wrist-sport data historgraphic data recording (refer to the number under the state of falling down
According to record) extracted electrocardiogram (ECG) data feature and exercise data feature match.And it is determined based on matched degree or confidence level
Whether above-mentioned each current human's status data matches unanimously with the historgraphic data recording under falling over of human body state, if unanimously,
It can determine that human body is in and fall down state, otherwise, then human body is in and does not fall down state.
In specific implementation, it is preferable that historgraphic data recording (the electrocardio number under batch falling over of human body state can be obtained in advance
According to, non-foot ankle exercise data and Wrist-sport data had an effect) and the non-historgraphic data recording (heart fallen down under state of human body
Electric data, non-foot ankle exercise data and the Wrist-sport data had an effect) it is used as sample data, mono- AI of Lai Xunlian handles model.Mould
Algorithm used by type training can be but not limited to K-means clustering algorithm, in the historgraphic data recording of batch, with for the moment
Between, the above-mentioned three classes data of same human body as a sample, model be based on training process constantly learn falling over of human body state and
It is non-to fall down the characteristics of human body that each sample data is embodied under state.
After completing model training, the electrocardiogram (ECG) data current for the human body of acquisition, first exercise data and
Second exercise data, can be inputted AI processing model, inside model by the characteristics of human body of input data reflection with
Its characteristics of human body based on big data study matches, and output model processing result, the output result of model generally include
Body state belongs to the confidence data for the state of falling down.
Wherein, if the numerical value of the confidence level reaches a preset confidence threshold value, determine that body state is to fall
State is otherwise, corresponding to determine that body state is not fall down state if the not up to confidence threshold value.
Once identifying body state exception, such as identify that human body is in state of falling down, electronic equipment just deposit in advance by basis
The contact details of storage are based on respective communication technology (such as mobile communication technology), and triggering is directed to the alert notice thing of the abnormality
Part, such as Advise By Wire (playing notice recording after connection automatically), short message notification, to monitoring platform feedback representation human body abnormal
Notification information etc., to notify related emergency contact person, monitor center or hospital to help the person of falling down.
The movement of falling over of human body moment wrist is compared to the Wrist-sport under normal condition, although without particularly apparent spy
Difference is levied, but difference between the two is still existing, and in the model training based on big data, it also can be by model from big
It captures and learns in batch training sample, this equally can provide help for human body state recognition, go through as a result, based on high-volume
In the match cognization mode of history data, in the identification method such as based on AI processing model, the present embodiment, which combines, uses the human body heart
The peculair motion data of the non-foot of having an effect of electric data, human body and the exercise data of human body wrist carry out body state identification, pass through
The feature that is shown in conjunction with different classes of body state data, it can be achieved that in the state recognition based on AI model high accuracy
Ground identifies body state.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight
Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other.
For convenience of description, it describes to be divided into various modules when system above or device with function or unit describes respectively.
Certainly, the function of each unit can be realized in the same or multiple software and or hardware when implementing the application.
As seen through the above description of the embodiments, those skilled in the art can be understood that the application can
It realizes by means of software and necessary general hardware platform.Based on this understanding, the technical solution essence of the application
On in other words the part that contributes to existing technology can be embodied in the form of software products, the computer software product
It can store in storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used so that a computer equipment
(can be personal computer, server or the network equipment etc.) executes the certain of each embodiment of the application or embodiment
Method described in part.
Finally, it is to be noted that, herein, such as first, second, third and fourth or the like relational terms
It is only used to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying these
There are any actual relationship or orders between entity or operation.Moreover, the terms "include", "comprise" or its is any
Other variants are intended to non-exclusive inclusion, so that including the process, method, article or equipment of a series of elements
Include not only those elements, but also including other elements that are not explicitly listed, or further includes for this process, side
Method, article or the intrinsic element of equipment.In the absence of more restrictions, limited by sentence "including a ..."
Element, it is not excluded that there is also other identical elements in the process, method, article or apparatus that includes the element.
The above is only the preferred embodiment of the application, it is noted that for the ordinary skill people of the art
For member, under the premise of not departing from the application principle, several improvements and modifications can also be made, these improvements and modifications are also answered
It is considered as the protection scope of the application.
Claims (10)
1. a kind of information processing method, this method comprises:
Obtain the body state data for being bound at least one wearable device transmission of human body；The body state data are at least
First exercise data of the non-foot of having an effect including human body, the non-foot of having an effect are that human body is mainly used for supporting people when falling down
Another foot except the foot of having an effect of body weight；
Based on the body state data, body state is identified；
If the body state identified indicates that body state is abnormal, the notification event for indicating body state exception is triggered.
2. according to the method described in claim 1, described obtain the people for being bound at least one wearable device transmission of human body
Body status data, comprising:
Obtain the electrocardiogram (ECG) data and exercise data for being bound to the human body of at least one wearable device transmission of human body；Wherein, institute
It states exercise data and includes at least the first exercise data for being bound to the non-foot of having an effect of wearable device transmission of human foot wrist position.
3. according to the method described in claim 2, the exercise data further includes being bound to the wearable of human body wrist position to set
Second exercise data of standby transmission.
4. identifying body state according to the method described in claim 2, described be based on the body state data, comprising:
The heart rate of human body is determined based on the electrocardiogram (ECG) data；
Acceleration of motion and the inclination angle of the non-foot of having an effect of human body are determined based on first exercise data；
It determines whether the heart rate, the acceleration of motion and the inclination angle meet and scheduled falls down condition；
If satisfied, then determining that human body is in falls down state.
5. identifying body state according to the method described in claim 3, described be based on the body state data, comprising:
Obtain the data note of the human body electrocardio data fallen down under state, non-have an effect foot ankle exercise data and Wrist-sport data
Record；
Determine obtain the electrocardiogram (ECG) data, first exercise data and second exercise data whether respectively with the people
Body electrocardiogram (ECG) data, non-have an effect foot ankle exercise data and Wrist-sport data data record match；
If matching, it is determined that human body is in and falls down state out.
6. method according to claim 4 or 5, if the body state identified indicates that body state is abnormal, triggering
For indicating the notification event of body state exception, comprising:
If the body state identified indicates that human body is in and falls down state, triggered based on pre-stored contact details for indicating
The notification event of falling over of human body.
7. a kind of electronic equipment, comprising:
Memory, at least storing one group of instruction set；
Processor is carried out for calling and executing the described instruction collection in the first memory by executing described instruction collection
It handles below:
Obtain the body state data for being bound at least one wearable device transmission of human body；The body state data are at least
First exercise data of the non-foot of having an effect including human body, the non-foot of having an effect are that human body is mainly used for supporting people when falling down
Another foot except the foot of having an effect of body weight；
Based on the body state data, body state is identified；
If the body state identified indicates that body state is abnormal, the notification event for indicating body state exception is triggered.
8. electronic equipment according to claim 7, the processor, which obtains, to be bound at least one of human body and wearable sets
The body state data of standby transmission, specifically, comprising:
Obtain the electrocardiogram (ECG) data and exercise data for being bound to the human body of at least one wearable device transmission of human body；Wherein, institute
It states exercise data and includes at least the first exercise data for being bound to the non-foot of having an effect of wearable device transmission of human foot wrist position.
9. electronic equipment according to claim 8, the processor is based on the body state data, identifies human body shape
State specifically includes:
The heart rate of human body is determined based on the electrocardiogram (ECG) data；
Acceleration of motion and the inclination angle of the non-foot of having an effect of human body are determined based on first exercise data；
It determines whether the heart rate, the acceleration of motion and the inclination angle meet and scheduled falls down condition；
If satisfied, then determining that human body is in falls down state.
10. electronic equipment according to claim 8, the exercise data further includes the wearing for being bound to human body wrist position
Second exercise data of formula equipment transmission；
The processor is based on the body state data, identifies body state, specifically includes:
Obtain the data note of the human body electrocardio data fallen down under state, non-have an effect foot ankle exercise data and Wrist-sport data
Record；
Determine obtain the electrocardiogram (ECG) data, first exercise data and second exercise data whether respectively with the people
Body electrocardiogram (ECG) data, non-have an effect foot ankle exercise data and Wrist-sport data data record match；
If matching, it is determined that human body is in and falls down state out.
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