CN107411753A - A kind of wearable device for identifying gait - Google Patents
A kind of wearable device for identifying gait Download PDFInfo
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- CN107411753A CN107411753A CN201710420730.0A CN201710420730A CN107411753A CN 107411753 A CN107411753 A CN 107411753A CN 201710420730 A CN201710420730 A CN 201710420730A CN 107411753 A CN107411753 A CN 107411753A
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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
- A61B5/117—Identification of persons
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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
- A61B5/112—Gait analysis
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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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Abstract
The invention discloses a kind of wearable device for identifying gait.In the present invention, the microprocessor of wearable device generates current gait data according to the current gait feature information of active user, when current gait data has abnormal, judge whether the exception is caused by external environment condition according to the environment nowadays information, when the exception is caused by external environment condition, assert the exception is caused by health, so as to avoid being changed the gait data unusual determination of user caused by the change of external environment condition for the health of user, the accuracy of gait data analysis is improved.
Description
Technical field
The present invention relates to Gait Recognition field, more particularly to a kind of wearable device for identifying gait.
Background technology
Gait Recognition, belong to one kind of bio-identification, it is intended to which the posture walked by people carries out identification.With other
Biological identification technology, such as fingerprint, iris etc. compare, and Gait Recognition has non-contact, remote and to be not easy camouflage etc. excellent
Point.Its basic functional principle is exactly：The variation characteristic between individual is found and extracted from identical walking behavior, to realize certainly
Dynamic identification.
In field of intelligent video surveillance, Gait Recognition has more advantage than face recognizing.Gait refers to side during people's walking
Formula, this is a kind of complicated behavioural characteristic.The uniqueness of gait may be embodied in the difference of individual physiological structure, including different
Thigh bone length, different muscle strength, different height of C.G., different kinesitherapy nerve sensitivity.It is real in technology
Trample in scene, criminal perhaps can give oneself makeup, do not allow on one's body even a hair falls in flagrant delict, but have the same
Thing they be difficult completely change without leaving characteristic vestige, here it is walk posture.In addition, Gait Recognition detects
Critical distance close to 100 steps, this should be the maximum distance that current biological identification technology can detect.
Although the gait feature of people meets the bio-identification principle of diversity and uniqueness, it is for stability
Satisfaction degree with the principle such as collection property is with regard to not ideal enough.The age of people increases, body weight increases and decreases, dressing change, Yi Jijian
The deterioration of health situation, it all may significantly change its gait.Meanwhile if a people deliberately accelerates or slowed down paces, then
Its body swing formed symmetrical lines may change completely so that the accuracy of Gait Recognition identity significantly under
Drop.Further, since the gait information that Gait Recognition is generally all showed according to people's both legs, so if in video monitoring
During, the both legs of identification object are can't see, such as wear the people of robe or longuette, then Gait Recognition just has no to use force it
Ground.
In the big data epoch, the data analysis of walking step state has critically important value, can there is plurality of application scenes, bag
Include quantization checking, the rehabilitation training of patient applied to rehabilitation appliances using effect in rehabilitation field；To ankle thunder in treatment
Routine analysis, the diagnosis of disease；In the assessment of professional motion damage risk, quantitative training and guidance of Sports Field etc..
The large-scale gait analysis equipment of traditional medical grade has two limitations：First, the price of relevant device is generally million
Level, small-sized rehabilitation institution, Sport Administration mechanism are difficult to configure；Second, relevant device can only use in specific laboratory,
The gait that user can not be recorded in real scene is live.
Intelligent wearable device is that the Medical Devices of Large-scale professional level are condensed into wearable wearable device, passes through biography
Sensor catches the fine motion of user's foot and made, and gathers basic data, supports, is excluded in environment with reference to the artificial intelligence of high in the clouds algorithms library
Noise data is disturbed, and so as to draw user, accurately gait analysis is reported in the real scenes such as upward slope, descending, stair climbing, but
The existing biometric discrimination method based on gait is easily produced erroneous judgement by external environment influence.
The above is only used for auxiliary and understands technical scheme, does not represent and recognizes that the above is existing skill
Art.
The content of the invention
It is a primary object of the present invention to provide a kind of wearable device for identifying gait, it is intended to which the identification for solving gait is easy
The technical problem of erroneous judgement is produced by external environment influence.
To achieve the above object, the present invention provides a kind of wearable device for identifying gait, and the wearable device includes：
Equipment body, sensor array and microprocessor, the sensor array and microprocessor are in the equipment body；
The sensor array, for obtaining current gait feature information and the environment nowadays information of active user,
And the current gait feature information and the environment nowadays information are sent to the microprocessor；
The microprocessor, for generating current gait data according to the current gait feature information, described current
When gait data has abnormal, judge whether the exception is caused by external environment condition according to the environment nowadays information,
The exception is not that assert the exception is caused by health when being caused by external environment condition.
In one embodiment, the environment nowadays information includes multiple environment nowadays characteristic parameters；
The microprocessor, it is additionally operable to calculate between the environment nowadays characteristic parameter and default environment characteristic parameters
Difference；When the difference is not in the first preset range, assert the exception is caused by external environment condition.
In one embodiment, the microprocessor, it is additionally operable to carry out the current gait data with default gait data
Compare, when the current matching degree between gait data and the default gait data is not in the second preset range, recognize
The fixed current gait data exists abnormal.
In one embodiment, the microprocessor, it is additionally operable to obtain the default gait data in pre-set user account, by institute
State current gait data to be compared with the default gait data, in the current gait data and the default gait data
Between matching degree when being in three preset ranges, assert that the active user is corresponding with the pre-set user account, will described in
Current gait data is stored to the pre-set user account.
In one embodiment, the microprocessor, it is additionally operable in the current gait data and the default gait data
Between matching degree when being not in the 3rd preset range, assert that the active user and the pre-set user account be not corresponding,
And new user account is created, the current gait data is stored to the new user account, and by the new user
Account is as pre-set user account.
In one embodiment, the microprocessor, it is additionally operable to store the environment nowadays information to described default
In user account.
In one embodiment, the microprocessor, be additionally operable to by the pre-set user account, the current gait data and
The environment nowadays information is sent to background server, so that the background server is by the current gait data and institute
The storage of environment nowadays information is stated into the pre-set user account.
In one embodiment, the microprocessor, it is additionally operable to when the exception is caused by external environment condition, described will works as
Preceding gait data is as environmental abnormality gait data；When the exception is caused by external environment condition, by the current gait
Data are as body abnormality gait data.
In one embodiment, the wearable device also includes memory, and the memory is used to store body abnormality step
State data, environmental abnormality gait data, current gait data and environment nowadays information.
In one embodiment, the microprocessor, it is additionally operable to regard as the body shape of the active user in the exception
When condition causes, prompt message is sent.
In the present invention, the microprocessor of wearable device generates current step according to the current gait feature information of active user
State data, when current gait data has abnormal, judge the exception whether by outer according to the environment nowadays information
Portion's environment causes, and when the exception is caused by external environment condition, assert the exception is caused by health, so as to keep away
Exempt to be changed the gait data unusual determination of user caused by the change of external environment condition for the health of user, improve
The accuracy of gait data analysis.
Brief description of the drawings
Fig. 1 is the structured flowchart of the wearable device of the identification gait of an embodiment of the present invention；
Fig. 2 is the structural representation of the wearable device of the identification gait of an embodiment of the present invention.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Reference picture 1, the first embodiment structured flowchart of the wearable device of present invention identification gait.
As shown in figure 1, the wearable device includes：Equipment body, sensor array and microprocessor, the sensor array
Row and microprocessor are in the equipment body；
The sensor array, for obtaining current gait feature information and the environment nowadays information of active user,
And the current gait feature information and the environment nowadays information are sent to the microprocessor；
The microprocessor, for generating current gait data according to the current gait feature information, described current
When gait data has abnormal, judge whether the exception is caused by external environment condition according to the environment nowadays information,
The exception is not that assert the exception is caused by health when being caused by external environment condition.
It should be understood that the equipment body is the main support section of the equipment, the sensor array and microprocessor
Device is located in the equipment body, such as：The wearable device is a kind of Intelligent insole, then equipment body can be common
Shoe-pad, it is described to be commonly provided with sensor array and microprocessor in shoe-pad.
Passed it should be understood that sensor array can include range sensor, height sensor, angular transducer, pressure
At least one of in sensor and timer, in addition to temperature sensor, humidity sensor, luminance sensor and sound transducer
At least one of in, ground soft durometer detection sensor, height above sea level detection sensor, radioactive element detection sensing can also be included
The distance detection sensor of the fast moving objects such as device, vehicle or instant image recording system etc..
It will be appreciated that the sensor array, the also collection with external environmental information, record and analytic function, can
With the external environment condition residing for Intelligent Recognition user, so as to which more accurately the gait of user is identified, and then accurately
Carry out bio-identification, and more efficiently record, analyze user gait information.
, can be double with user in real in the specific implementation, the sensor array, is built in the wearable device
Pin current gait feature information caused in the process of walking, such as：Range information, elevation information, angle information, pressure information
With temporal information etc..Certain gait feature information can also include features more more or less than above-mentioned gait feature information
Information, the present embodiment are not any limitation as to this.The sensor array sends above-mentioned current gait feature information to micro- place
Manage device.
It will be appreciated that the current gait data is microprocessor by the current gait caused in the process of walking of user
Characteristic information, multinomial data and curves are formed, so as to the gait data image of synthetically fitting generation user, the gait data figure
As having stability, periodicity, rhythmicity, directionality, harmony and individual difference, it can effectively apply to the identity of user
Identification.
It should be noted that when user's body situation changes, obvious change occurs in gait data, occurs different
Often, in addition, when significant change occurs for external environment condition, it is also possible to which obvious change occurs in the gait data for influenceing user, goes out
It is now abnormal.
It should be understood that the environment nowadays information for produce the current gait data when user residing for around
External environmental information.Such as：Current Temperatures, humidity, brightness and sound etc., it is, of course, also possible to including other environmental information, such as
Distance, ground soft durometer, height above sea level or radioactive element of the fast moving objects such as vehicle etc., the present embodiment is not limited this
System.
It should be noted that the microprocessor, (can be able to be two within a period of time with long-term record, analysis user
Three days) change of gait data, so as to establish the default gait data of user.
It will be appreciated that the microprocessor be used for identify the abnormal gait data be as caused by external environment condition or
As caused by user's body situation, when gait data occurs abnormal, environment nowadays information is obtained, analyzes current external ring
Whether border undergos mutation within the same time, if do not undergone mutation in same time environment nowadays, it is believed that institute
It is not as caused by external environment condition to state abnormal gait data, and the exception is regarded as caused by user's body situation.
In the present invention, the microprocessor of wearable device generates current step according to the current gait feature information of active user
State data, when current gait data has abnormal, judge the exception whether by outer according to the environment nowadays information
Portion's environment causes, and when the exception is caused by external environment condition, assert the exception is caused by health, so as to keep away
Exempt to be changed the gait data unusual determination of user caused by the change of external environment condition for the health of user, improve
The accuracy of gait data analysis.
Based on above-mentioned first embodiment, propose that the present invention identifies the second embodiment of the wearable device of gait.
The environment nowadays information includes multiple environment nowadays characteristic parameters；
The microprocessor, it is additionally operable to calculate between the environment nowadays characteristic parameter and default environment characteristic parameters
Difference；When the difference is not in the first preset range, assert the exception is caused by external environment condition.
It will be appreciated that the environment nowadays information includes multiple environment nowadays characteristic parameters, it is described current
External environment condition characteristic parameter may include Current Temperatures, humidity, brightness and sound etc., certainly, the environment nowadays feature ginseng
Number can also include other environment characteristic parameters, such as the distance of the fast moving objects such as vehicle, ground soft durometer, height above sea level
Or radioactive element etc., the present embodiment is not any limitation as to this.
When in the specific implementation, the default environment characteristic parameters is produce normal gait data residing for user around it is outer
Environment characteristic parameters in portion's environmental information, the default environment characteristic parameters can include：Temperature, humidity, brightness, wind speed and
Sound etc..Certainly, the default environment characteristic parameters can also include other environment characteristic parameters, such as the high-speed mobile such as vehicle
Distance, ground soft durometer, height above sea level or radioactive element of object etc., the present embodiment is not any limitation as to this.
It will be appreciated that the difference between the environment nowadays characteristic parameter and default environment characteristic parameters is calculated,
It is to be counted the environment nowadays characteristic parameter and identical environment characteristic parameters type in default environment characteristic parameters
Calculate, such as the value of temperature in environment nowadays characteristic parameter and the value of the temperature in default environment characteristic parameters are counted
Calculate.
Even it should be understood that same period on the same day, the various environment characteristic parameters in external environmental information may
The temperature that can have certain fluctuation, not constant numerical value, such as current detection is 25 °, and the temperature of detection in next minute can
It can be 24 °, for this temperature change, human body possibly can not perceive, then corresponding gait change will not occur, but if temperature
10 ° are reduced suddenly, human body might have perceptions, then corresponding change occurs in gait, for example, user's script is in outdoor walking,
Abruptly entered freezer, 10 ° of temperature decrease, user may Slow Down, then gait change.It is that is, current outer
10 ° of difference between temperature parameter in portion's environment characteristic parameters and default environment characteristic parameters, is not in the first preset range
(temperature difference is less than 5 °), it can be assumed that the exception is caused by external environment condition.
It is understood that first preset range is pre- to the influence of human body for the environment characteristic parameters in external environment condition
The allowable fluctuation range first set, the allowable fluctuation range are the fluctuating change that human body can not perceive, and described first presets model
Enclose and different scopes is set for different environment characteristic parameters types.For example, in the first preset range, the first of temperature is default
Scope can be preset as the temperature difference less than 5 °, and the first preset range of humidity can preset psychrometric difference less than 10% etc., the present embodiment
This is not any limitation as, can be with the environment characteristic parameters excursion that collector's physical efficiency perceives so as to default in specific implementation
More accurate first preset range.
Such as：User runs in one section of long tree-covered walkways first, subsequently into one section it is open do not have it is bosky
Road.Because user has experienced than stronger sunlight suddenly, its gait is it is possible that some abnormal changes.With for the moment
Carve, the environment nowadays information acquired in the wearable device built-in sensors array is also changed, and is obtained current outer
Portion's environment characteristic parameters, by the environment nowadays characteristic parameter compared with default environment characteristic parameters, find brightness
Parameter has differences, and the difference between the luminance parameter is not in the first preset range, then may determine that the exception
It is as caused by changing external environment condition.
It should be understood that the sometimes change of external environment condition can be multiple environment characteristic parameters while be changed, this
When, when the difference of at least one environment characteristic parameters is not in the first preset range, it is by external environment condition to assert the exception
Cause.
Such as：User on road when walking, gait data that the wearable device detects (such as plantar pressure, step
The data such as speed, cadence, step-length) suddenly change is violent；At the same time, the wearable device gets the humidity of environment nowadays
Parameter also raises suddenly, and receives the audio parameter of thunder.Join in the environment nowadays and default external environment condition feature
When the difference at least one between difference between humidity parameter or audio parameter in number is not in the first preset range, institute
Stating wearable device intelligently can be read as abnormal gait data caused by external environment condition mutation.
The microprocessor, it is additionally operable to when the exception is caused by external environment condition, the current gait data is made
For environmental abnormality gait data；When the exception is caused by external environment condition, using the current gait data as body
Abnormal gait data.
It should be understood that when gait data occurs abnormal, environment nowadays information is obtained, analyzes environment nowadays
Whether undergone mutation within the same time, if undergone mutation in same time environment nowadays, it is believed that the exception
It is as caused by external environment condition, then using the current gait data as environmental abnormality gait data.It is not in the exception
When being caused by external environment condition, the health that the exception is regarded as to the active user causes, then by the current step
State data are as body abnormality gait data.
Further, environment abnormal gait data in the history gait data of the user of storage can be analyzed, extracted
The relation gone out between environment characteristic parameters and the environmental abnormality gait data, environment described in the history gait data is different
Normal gait data is arranged to default abnormal gait data, so as to establish out the environment characteristic parameters and the default abnormal gait
Mapping relations between data.Using historical data, the accuracy of user's Gait Recognition can be further improved.
It will be appreciated that the default abnormal gait data can also be what is monitored when various ambient parameters change
User's gait data, the mapping relations include pair between one or more environment characteristic parameters and default abnormal gait data
It should be related to, the corresponding relation accordingly presets abnormal gait data always according to different set of scope that environment characteristic parameters change.
It should be noted that when the current gait data has abnormal, can be closed according to environment characteristic parameters in mapping
Default abnormal gait data accordingly are searched in system；The default abnormal gait data and the current gait data are compared
Compared with when the default abnormal gait data match or in the presence of consistent variation tendency and difference substantially with the current gait data
It is caused by external environment condition by the anomalous identification in allowed band.
Such as：User runs in one section of long tree-covered walkways first, subsequently into one section it is open do not have it is bosky
Road.Because user has experienced than stronger sunlight suddenly, its gait is it is possible that some abnormal changes.It is same herein
When, the environment nowadays data of the wearable device detection are also changed, and are being reflected according to the scope that luminance parameter changes
Penetrate in relation and search default abnormal gait data accordingly, then by the default abnormal gait data found with it is described current
Gait data is compared, and whether both match or consistent variation tendency be present and difference is in allowed band substantially for observation,
So may determine that the exception is as caused by changing external environment condition.
The microprocessor, it is additionally operable to the current gait data being compared with default gait data, works as described
When matching degree between preceding gait data and the default gait data is not in the second preset range, the current gait is assert
Data exist abnormal.
It will be appreciated that normal gait has stability, periodicity and rhythmicity, directionality, harmony, when working as user
Preceding gait data has differences compared with default gait data, and described current between gait data and the default gait data
Matching degree be not in the second preset range, second preset range is occurs just according to active user's normal gait
The permission data fluctuations scope that ordinary wave is dynamic and sets, that is to say, that the current gait data is not in normal data fluctuation range
When, it is abnormal to assert that the current gait data is present.
It should be understood that gait data when the default gait data is not necessarily user's body health, and refer to
User is in gait data caused by normal walking, and certainly, the default gait data can also be according to being actually needed carry out phase
The setting answered, the present embodiment are not any limitation as to this.
Such as：If user's body has certain disease, the gait data of user is monitored using the wearable device, by user
Gait data now records and is arranged to default gait data.When user reuses the wearable device, described will work as
Preceding gait data is compared with default gait data, in the current matching degree between gait data and default gait data
When being not in the second preset range, it is abnormal to assert that the current gait data is present, next can be further to identify
Stating abnormal is caused or as caused by external environment condition as health change.
Based on above-mentioned first embodiment, propose that the present invention identifies the 3rd embodiment of the wearable device of gait.
The microprocessor, it is additionally operable to obtain the default gait data in pre-set user account, by the current gait number
It is compared according to the default gait data, in the current matching degree between gait data and the default gait data
During in three preset ranges, assert that the active user is corresponding with the pre-set user account, by the current gait data
Store to the pre-set user account.
It should be understood that the wearable device may be used by multiple users, so being set for different users different
User account, the related gait data of user account storage user.In use, can be first to user's so in user
Identity is identified, preferably to record, analyze the gait data of user.
It should be noted that normal gait has individual difference, for different users, their gait data is to deposit
In certain difference, so when user is when using the wearable device, first can by the current gait data of user with it is pre-
If gait data is compared.3rd preset range is the permission according to set by the individual difference of different user gait
Fluctuation range, accuracy rate when can be according to practice in specific implementation adjust suitable scope as the 3rd default model
Enclose.
In specific implementation, the 3rd is in the current matching degree between gait data and the default gait data
When in preset range, it is user corresponding with the default gait data to assert active user, namely realizes user identity
Identification.
The microprocessor, it is additionally operable in the current matching degree between gait data and the default gait data not
When in the 3rd preset range, assert that the active user and the pre-set user account be not corresponding, and create new user
Account, the current gait data is stored to the new user account, and used using the new user account as default
Family account.
It should be understood that it is not in the 3rd in the current matching degree between gait data and the default gait data
When in preset range, it is not the user corresponding to the pre-set user account to assert the active user, that is,
Say, the default gait data in the pre-set user account is not the gait data of active user, it is believed that active user is
New user, new user account can be created to new user, for trailer record, the gait data of the analysis new user.
The microprocessor, it is additionally operable to store the environment nowadays information into the pre-set user account.
It will be appreciated that the wearable device may be used by multiple users, then in use, first can be to working as in user
The identity of preceding user is identified, and after judging that active user is user corresponding with the pre-set user account, will currently walk
State data and environment nowadays information are stored into the pre-set user account, so as to more accurately record, analyze the use
The gait data at family.
The microprocessor, it is additionally operable to the pre-set user account, the current gait data and the current external
Environmental information is sent to background server, so that the background server is by the current gait data and the current external ring
Environment information is stored into the pre-set user account.
It should be understood that the pre-set user account, current gait data and environment nowadays information are sent to rear
Platform server, it is easy to carry out remote management to the gait data of active user, when wearable device damage or failure, also not
As for the gait data for losing recorded active user, when the active user uses new wearable device, can also ask
Background server is asked to send the related gait data of the active user to new wearable device, certainly, the default gait
Data and default environment characteristic parameters can also be stored to background server.
The microprocessor, it is additionally operable to, when the health that the exception regards as the active user causes, send
Prompt message.
It will be appreciated that when the exception being regarded as into the health of the active user causing, it may be possible to described to work as
There is certain disease in the body of preceding user, sends prompt message, to remind the active user to carry out corresponding physical examination,
Certainly, the prompt message also can be transmitted the relevant device to remote medical nursing personnel or other users, remind medical personnel to
Family carries out a certain physical examination, or other users understand the health of the user.
It should be understood that if user's body has certain disease, the gait data of user is monitored using the wearable device,
The gait data of user now is recorded and is arranged to default gait data, after a period of time, such as after one month, monitors to use
The gait data at family occurs abnormal, that is to say, that had differences with default gait data, and the current gait data with it is described
When presetting the matching degree between gait data not in the second preset range, the exception is regarded as being drawn by the health of user
Rise, then, it may be possible to the health of user has taken a turn for the better or disease progression.
Such as：User is diabetes diagnosis person.It is described wearable to set when user puts on the wearable device and starts walking
It is standby monitor gait data occur it is abnormal (such as plantar pressure data occur it is abnormal, under the pressure at some positions in its vola is obvious
Drop).In the same time, the wearable device detects unexpected elevated humidity parameter, and joins similar to the sound of current
Number.On the other hand, the wearable device intelligently judges that user passes by one section of road for having puddle, user may intentionally lift
Rise or padded both feet, so as to avoid by the exception (exception of plantar pressure) directly regard as user diabetes deterioration.
Therefore, avoid and send prompt message to user, remote medical nursing personnel or other users caused by judging by accident.
It should be understood that, it is not excluded that user's body situation is also changed while portion's environment changes outside,
In specific implementation, when the gait data appearance exception for detecting user, while external environment condition is undergone mutation, other users or remote
Journey medical personnel can get in touch with user, be confirmed whether because environmental catastrophe, and exception, and or health occur for gait
Change and cause gait that exception occurs.And then current gait data is more accurately classified, provided more for follow-up monitoring
Add accurate reference data, also can guarantee that user because health change when, obtain other users or remote medical nursing in time
The help of personnel.
The memory, for storing body abnormality gait data, environmental abnormality gait data, current gait data and working as
Preceding external environmental information.
It should be understood that by body abnormality gait data, environmental abnormality gait data, current gait data and current external
Environmental information is stored, and is advantageous to carry out the gait data of user more deep gait data analysis, is walked beneficial to user
The management of state data, more accurate gait data can also be therefrom extracted as default gait data, can be according to storage
Various gait datas understand user's each stage health.
Reference picture 2, Fig. 2 are the structural representation of the wearable device for the identification gait for providing an embodiment of the present invention.
As shown in Fig. 2 the wearable device is a kind of Intelligent insole, the Intelligent insole includes：Antibiotic facing material 1, waterproof layer
2nd, printed circuit board layer 3, memory 4, battery 5, waterproof layer 6, Biological Strength layer 7, GPS locator 8, microprocessor 9, sensor array
Row 10 and froth bed 11, the sensor array 10 include external environment condition detection sensor.
It will be understood by those skilled in the art that the structural representation shown in Fig. 2 does not form the restriction to Intelligent insole,
It can include than illustrating more or less parts, either combine some parts or different parts arrangement.
It will be appreciated that the wearable device, can be shoe-pad, belt, purse, earphone, glasses or the head for being worn over head
Lamp etc., the present embodiment is not any limitation as to this.
The wearable device repeatedly lasting in real scene can use, and can identify external environment condition, and big
Type gait analysis equipment turns into 4 D data, completes the analysis to user's clock signal compared to time dimension is added.Thus may be used
With applied to user's gait routine testing, chronic disease (including senile dementia, Parkinson's, diabetes etc.) early warning,
And the abnormal gait analysis of toddler process and early warning.
It should be noted that in order to realize comprehensive record, analysis and identification to user's gait, the wearing can be set
It is standby to be used in combination with other wearable devices, such as：When the wearable device is a kind of shoe-pad, user is using the shoe-pad
When, belt or purse of distance detection function etc. can be fastened in loins simultaneously, distance can also have been taken on head simultaneously
The head lamp or earphone of detection function or glasses etc., the present embodiment is not any limitation as to this.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property includes, so that process, method, article or system including a series of elements not only include those key elements, and
And also include the other element being not expressly set out, or also include for this process, method, article or system institute inherently
Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this
Other identical element also be present in the process of key element, method, article or system.
The use of word first, second, and third does not indicate that any order.These words can be construed to title.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme is substantially done to prior art in other words
Going out the part of contribution can be embodied in the form of software product, and the computer software product is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), including some instructions to cause a station terminal equipment (can be mobile phone, computer, clothes
Be engaged in device, air conditioner, or network equipment etc.) perform method described in each embodiment of the present invention.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair
The equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of wearable device for identifying gait, it is characterised in that the wearable device includes：Equipment body, sensor
Array and microprocessor, the sensor array and microprocessor are in the equipment body；
The sensor array, for obtaining current gait feature information and the environment nowadays information of active user, and will
The current gait feature information and the environment nowadays information are sent to the microprocessor；
The microprocessor, for generating current gait data according to the current gait feature information, in the current gait
When data have abnormal, judge whether the exception is caused by external environment condition according to the environment nowadays information, described
Abnormal is not that assert the exception is caused by health when being caused by external environment condition.
2. wearable device as claimed in claim 1, it is characterised in that the environment nowadays information includes multiple current
External environment condition characteristic parameter；
The microprocessor, it is additionally operable to calculate the difference between the environment nowadays characteristic parameter and default environment characteristic parameters
Value；When the difference is not in the first preset range, assert the exception is caused by external environment condition.
3. wearable device as claimed in claim 1 or 2, it is characterised in that the microprocessor, being additionally operable to will be described current
Gait data is compared with default gait data, in the current matching between gait data and the default gait data
When degree is not in the second preset range, it is abnormal to assert that the current gait data is present.
4. wearable device as claimed in claim 1 or 2, it is characterised in that the microprocessor, be additionally operable to obtain default use
Default gait data in the account of family, the current gait data is compared with the default gait data, worked as described
When matching degree between preceding gait data and the default gait data is in three preset ranges, assert the active user with
The pre-set user account is corresponding, and the current gait data is stored to the pre-set user account.
5. wearable device as claimed in claim 4, it is characterised in that the microprocessor, be additionally operable in the current step
When matching degree between state data and the default gait data is not in the 3rd preset range, assert the active user with
The pre-set user account is not corresponded to, and creates new user account, and the current gait data is stored to the new use
Family account, and using the new user account as pre-set user account.
6. wearable device as claimed in claim 5, it is characterised in that the microprocessor, being additionally operable to will be described current outer
Portion's environmental information is stored into the pre-set user account.
7. wearable device as described in claim 6, it is characterised in that the microprocessor, being additionally operable to will be described default
User account, the current gait data and the environment nowadays information are sent to background server, so that the backstage
Server is by the current gait data and environment nowadays information storage into the pre-set user account.
8. wearable device as claimed in claim 1 or 2, it is characterised in that the microprocessor, be additionally operable in the exception
It is when being caused by external environment condition, using the current gait data as environmental abnormality gait data；It is not by outer in the exception
When portion's environment causes, using the current gait data as body abnormality gait data.
9. wearable device as claimed in claim 8, it is characterised in that the wearable device also includes memory, described
Memory is used to store body abnormality gait data, environmental abnormality gait data, current gait data and environment nowadays letter
Breath.
10. wearable device as claimed in claim 1 or 2, it is characterised in that the microprocessor, be additionally operable to described different
When often regarding as the health of the active user and causing, prompt message is sent.
Priority Applications (2)
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|---|---|---|---|
| CN201710420730.0A CN107411753A (en) | 2017-06-06 | 2017-06-06 | A kind of wearable device for identifying gait |
| PCT/CN2017/094354 WO2018223505A1 (en) | 2017-06-06 | 2017-07-25 | Gait-identifying wearable device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710420730.0A CN107411753A (en) | 2017-06-06 | 2017-06-06 | A kind of wearable device for identifying gait |
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| CN107411753A true CN107411753A (en) | 2017-12-01 |
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ID=60429093
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| CN201710420730.0A Pending CN107411753A (en) | 2017-06-06 | 2017-06-06 | A kind of wearable device for identifying gait |
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| CN (1) | CN107411753A (en) |
| WO (1) | WO2018223505A1 (en) |
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