CN108670261A - Motion state detection method, wearable device and device - Google Patents
Motion state detection method, wearable device and device Download PDFInfo
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- 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
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Abstract
The present invention relates to internet of things field, a kind of motion state detection method, wearable device and the device with store function are disclosed.This method includes：Obtain the height change value of wearable device；Whether decision height changing value is more than preset height threshold value, if height change value is more than preset height threshold value, obtains the acceleration information of current wearable device and the physiologic information of the user of wearable device；Acceleration information is compared with the characteristic acceleration information under different motion state, and physiologic information is compared with characteristic physiological information, to determine the motion state residing for wearable device.By the above-mentioned means, the present invention can improve the accuracy of motion state detection.
Description
Technical field
The present invention relates to internet of things field, more particularly to a kind of motion state detection method, wearable device with
And the device with store function.
Background technology
With the development of society, aging degree is higher and higher, old solitary people is also more and more common.In the feelings that do not nurse
Under condition, old man's occur to fall cause injury probability for dying is very big, and timely rescues most important.In all tumble situations, most
Critical situation no more than after falling old man can not call for help, old man can be directly resulted in this way be unable to get and timely give treatment to and make disease
Feelings aggravate or death, and reason there are mainly two types of this occurs：First, syncope causes to fall.In the case of Falls Among Old People
In, it is largely related with cardiac origin of syncope to cause the cause of disease fallen, and is fallen than not out of the count tumble caused by fainting
More easily lead to serious injury.Cause to faint second is that falling.Most of the elderly's angiocarpy are all less good, after tumble just easily
Cause the acute disease state of an illness (such as cerebral hemorrhage, cerebral apoplexy etc.) in terms of angiocarpy.Old man can not independently alarm under both of these case
It seeks help, the equipment of more precision intelligence is needed to carry out accurate judgement, to save life in time.
Therefore for the quality of life of raising the elderly, ensure that Chinese society stable development plays an important roll.In intelligence
Change degree higher and higher today, researcher solve the problems, such as this using the trial of multiple technologies approach, but largely develop
Equipment practical effect is not good enough, main reason is that：1, detection device is worn inconvenient to use, and the elderly is to complex device
Repel；2, detection device is difficult to adapt to the variation of extraneous complex environment, and accuracy in detection is not high.
Invention content
In view of this, the invention mainly solves the technical problem of providing a kind of motion state detection method, wearable setting
The standby and device with store function, can improve the accuracy of motion state detection.
In order to solve the above technical problems, one aspect of the present invention is：A kind of motion state detection side is provided
Method, this method are applied to wearable device, and this method includes：Obtain the height change value of wearable device；Decision height changes
Whether value is more than preset height threshold value, if height change value is more than preset height threshold value, obtains adding for current wearable device
The physiologic information of the user of velocity information and wearable device；Acceleration information and the feature under different motion state are added
Velocity information is compared, and physiologic information is compared with characteristic physiological information, to determine residing for wearable device
Motion state.
Wherein, the step of acceleration information for obtaining current wearable device, specifically includes：Obtain current wearable device
In a first direction, the acceleration on second direction and third direction, take on first direction, second direction and third direction plus
The 1/2 power value and the relationship change curve of time of the quadratic sum of speed are acceleration change curve, and acceleration change curve is used
To be compared with characteristic acceleration change curve of the wearable device under different motion state；Wherein, characteristic acceleration becomes
It is that characteristic acceleration information and characteristic acceleration change curve of the wearable device under different motion state define to change curve
Different motion state residing for wearable device.
Wherein, first direction, second direction and third direction are mutually perpendicular to.
Wherein, characteristic physiological information includes feature heart rate, feature blood pressure and feature body temperature, obtains current wearable device
User physiologic information the step of specifically include：Heart rate, blood pressure and the body temperature of current wearable device user are obtained,
Heart rate, blood pressure and body temperature with feature heart rate, feature blood pressure and feature body temperature being compared respectively.
Wherein, this method further comprises：Height change value and preset height threshold value are compared by cascade classifier
To, acceleration information be compared with the characteristic acceleration information under different motion state and give birth to physiologic information and feature
Reason information is compared；Wherein, cascade classifier includes multiple sub-classifiers；Height change value and preset height threshold value are carried out
It compares, acceleration information be compared with the characteristic acceleration information under different motion state and by physiologic information and feature
The step of physiologic information is compared specifically includes：Different motion states is corresponding with sub-classifier connection road, sub-classifier respectively
Connection route multiple sub-classifier series connection gained；By under preset height threshold value, different motion state characteristic acceleration information and
Characteristic physiological information joins the Rule of judgment of different sub-classifiers in road respectively as its sub-classifier；By height change value, accelerate
The Rule of judgment that degree information and physiologic information join sub-classifier in road with different sub-classifiers respectively is compared, when height becomes
All sub-classifiers in change value, acceleration information and physiologic information matching target state corresponding sub-classifier connection road
When Rule of judgment, it can determine that wearable device is in target state.
Wherein, when acceleration information and the Rule of judgment of the corresponding sub-classifier of physiologic information matching target state
When, it can determine that the step of wearable device is in target state further comprises：When wearable device is in target fortune
When dynamic state, prompt message is sent out, to prompt wearable device to be in target state.
Wherein, when wearable device is in target state, the step of sending out prompt message, specifically includes：It is wearable
Equipment establishes physical connection or communication connection with warning device；When wearable device is in target state, pass through alarm
Equipment sends out prompt message；Or wearable device is provided with alarm, when wearable device is in target state, passes through
Alarm sends out prompt message.
In order to solve the above technical problems, another technical solution that the present invention uses is：A kind of wearable device is provided, it should
Wearable device includes processor, height sensor, acceleration information sensor and physiological information sensor, highly sensing
Device, acceleration information sensor and physiological information sensor are coupled with processor respectively, and processor is executing following action：
Control the height change value that height sensor obtains wearable device；Whether decision height changing value is more than preset height threshold value,
If height change value is more than preset height threshold value, the acceleration that acceleration information sensor obtains current wearable device is controlled
Information and control physiological information sensor obtain the physiologic information of the user of current wearable device；By acceleration information with
Characteristic acceleration information under different motion state is compared, and physiologic information is compared with characteristic physiological information,
To determine the motion state residing for wearable device.
Wherein, height sensor is baroceptor, and acceleration information sensor is 3-axis acceleration sensor, physiology letter
Breath sensor is heart rate sensor.
In order to solve the above technical problems, another technical solution that the present invention uses is：It provides a kind of with store function
Device, should have program stored therein data with device of store function, which can be performed to realize such as above-mentioned reality
Apply the motion state detection method that example is illustrated.
The beneficial effects of the invention are as follows：It is different from the prior art, motion state detection method provided by the present invention passes through
It obtains the height change value of wearable device and judges whether the height change value is more than preset height threshold value, if the height becomes
Change value is more than preset height threshold value, then it is abnormal to illustrate that variation of the wearable device in its residing height exists, needs to it
Further judged, to confirm whether the user of the wearable device occurs tumble accident.Specially obtaining can currently wear
The acceleration information of equipment and the physiologic information of its user are worn, acceleration information and the feature under different motion state are added
Velocity information is compared, and physiologic information is compared with characteristic physiological information, so that it is determined that residing for wearable device
Motion state, however, it is determined that wearable device is in tumble state, then illustrate wearable device user occur tumble accident.
By the above-mentioned means, motion state detection method provided by the present invention can improve the accuracy of motion state detection.
Description of the drawings
Fig. 1 is the flow diagram of one embodiment of motion state detection method of the present invention；
Fig. 2 is the flow diagram of another embodiment of motion state detection method of the present invention；
Fig. 3 is the chart schematic diagram of the acquired acceleration first embodiment of wearable device of the present invention；
Fig. 4 is the chart of corresponding one embodiment of acceleration change curve of the acquired acceleration of wearable device shown in Fig. 3
Schematic diagram；
Fig. 5 is the chart schematic diagram of the acquired acceleration second embodiment of wearable device of the present invention；
Fig. 6 is the chart of corresponding one embodiment of acceleration change curve of the acquired acceleration of wearable device shown in Fig. 5
Schematic diagram；
Fig. 7 is the chart schematic diagram of the acquired acceleration 3rd embodiment of wearable device of the present invention；
Fig. 8 is the chart of corresponding one embodiment of acceleration change curve of the acquired acceleration of wearable device shown in Fig. 7
Schematic diagram；
Fig. 9 is the structural schematic diagram of one embodiment of wearable device of the present invention；
Figure 10 is the structural schematic diagram for one embodiment of device that the present invention has store function.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes.
Referring to Fig. 1, Fig. 1 is the flow diagram of one embodiment of motion state detection method of the present invention.
S101：Obtain the height change value of wearable device；
In the present embodiment, motion state residing for the user for wearable device is measured in real time.Due to the use of
Wearable device is usually worn on a fixed position with user (such as pocket, front or waist etc.) by person, therefore is passed through
Motion state can represent motion state residing for the user of wearable device residing for detection wearable device.In particular by reality
When obtain wearable device height change value, to monitor whether wearable device is abnormal change in the height direction in real time
Change.
Certainly, to ensure the accuracy of testing result, it is attached that wearable device is preferably worn on the main trunk of user's human body
Closely (such as the positions such as waist, neck or front) avoid being worn on the more body part of the disturbed motions such as hand and leg,
To reduce the interference to testing result.
S102：Whether decision height changing value is more than preset height threshold value, if height change value is more than preset height threshold value,
Then obtain the acceleration information of current wearable device and the physiologic information of the user of wearable device；
In the present embodiment, the height change value of acquired wearable device and preset height threshold value are compared, with
Judge whether wearable device is abnormal variation in its residing short transverse.Wherein, preset height threshold value, which is description, to wear
Wear the boundary value that equipment is abnormal variation in its residing short transverse.When height change value is more than preset height threshold value,
Then illustrate that wearable device is abnormal variation in its residing short transverse.However, wearable device in the height direction
In the case of being abnormal variation, it can not directly judge that tumble accident occurs for the user of wearable device, it may be due to a
Other action (squatting down on such as) caused wearable devices are not abnormal variation in the height direction, it is therefore desirable to pair can
Motion state residing for wearable device is further confirmed that.
Further, the acceleration information of current wearable device and the physiology letter of the user of wearable device are obtained
Breath.The physiologic information of the acceleration information of wearable device and its user is combined judgement, so that accurately detecting can
Motion state residing for wearable device.If identified motion state is to fall, illustrate the user of wearable device
Tumble accident occurs.
S103：Acceleration information is compared with the characteristic acceleration information under different motion state, and by physiology
Information is compared with characteristic physiological information, to determine the motion state residing for wearable device；
In the present embodiment, the physiologic information of the acceleration information of wearable device and its user is combined judgement
The specific steps are acceleration information is compared with the characteristic acceleration information under different motion state, and physiology is believed
Breath is compared with characteristic physiological information, to determine the motion state residing for wearable device.
Wearable device has different characteristic acceleration information under different motion state, by acceleration information from it is different
Characteristic acceleration information under motion state is compared, corresponding to the matched characteristic acceleration information of the acceleration information
Motion state, the as motion state residing for wearable device.If identified motion state is to fall, illustrate to wear
Tumble accident occurs for the user for wearing equipment.
Further, to ensure the accuracy of testing result, the present embodiment is also by the physiology of wearable device user letter
Breath is compared with characteristic physiological information.Since human body itself has irritability, when user falls, user's physiology
Significant change can occur for information, and wherein characteristic physiological information is to describe user by irritability physiologic information variation occurred
Result.When the physiologic information matching characteristic physiologic information of user, then illustrate the residing movement of the user of wearable device
State causes the physiologic information of user to change and meets characteristic physiological information, so as to judge that tumble accident occurs for user.
Above as can be seen that motion state detection method provided by the present invention, passes through the height of acquisition wearable device
Changing value and judge the height change value whether be more than preset height threshold value, if the height change value be more than preset height threshold
It is abnormal then to illustrate that variation of the wearable device in its residing height exists, needs further to judge it, with true for value
Whether the user for recognizing the wearable device occurs tumble accident.Specially obtain the acceleration information of current wearable device with
And its physiologic information of user, acceleration information is compared with the characteristic acceleration information under different motion state, and
And physiologic information is compared with characteristic physiological information, so that it is determined that the motion state residing for wearable device, however, it is determined that can
Wearable device is in tumble state, then illustrates that tumble accident occurs for the user of wearable device.By the above-mentioned means, of the invention
The motion state detection method provided can improve the accuracy of motion state detection.
Referring to Fig. 2, Fig. 2 is the flow diagram of another embodiment of motion state detection method of the present invention.
The suitable environment for the motion state detection method that the present embodiment is illustrated can be the use of detection wearable device
Whether person occurs tumble accident, with the illustrated wearable device of the present embodiment user occur tumble accident when,
It outwardly calls for help in time.Specifically tumble action is set to target state, as the user for detecting wearable device
When in target state, illustrate that tumble accident occurs for the user of wearable device.Certainly, target state include but
Be not limited to the athletic performances states such as tumble action, such as jump, running can be related to scope for target state.This implementation
The motion state detection method that is illustrated of example is by by the motion feature (acceleration information) and physiology of wearable device user
Feature (physiologic information) is combined, and motion state residing for user is analyzed and determined out with accurate, to improve motion state inspection
The accuracy of survey.The present embodiment is illustrated so that target state is that tumble action occurs as an example, not thereby to this implementation
The suitable environment of the illustrated motion state detection method of example causes to limit.
The technical issues of tumble accident whether occurs for the user of above-mentioned detection wearable device, wraps in the prior art
It includes user and independently starts the detecting systems such as alarm system, fall detection system based on video-unit for solving above-mentioned technology
Problem.However, user independently start alarm system user occur fall cause its faint or limbs cannot move when can not
Realize alarming for help, the fall detection system based on video-unit limits the activity space of user and there is exposure user
The security risk of individual privacy.In addition, further include in the prior art have the fall detection system etc. based on single-sensor, but its
Be limited to having a single function for sensor, institute's detection data is not comprehensive enough, be susceptible to false positive event (tumble accident do not occur but
It detects and tumble accident occurs).And the form that human body is fallen is varied, and situation is also and its complicated, it is difficult to tumble accident
It is accurately measured, Simultaneous Detection and equipment at least need to reach following standard：Stand-by time is long；It is of low cost；It measures
Method is simple；Reliability and accuracy are higher；Normal activity that is easy to carry and not influencing human body；It can be monitored in real time.
Cause detection method and system equipment used by the prior art to motion state detections such as tumbles based on above-mentioned several factors
Accuracy it is relatively low.
In view of this, the motion state detection method that the present embodiment is provided can be realized and be set using the wearable of this method
It is standby have stand-by time is long, of low cost, measurement method simply, reliability and accuracy it is higher, easy to carry and do not influence people
The normal activity of body can carry out the advantages such as monitoring in real time, be described in detail below.
It should be noted that the motion state detection method that the present embodiment is provided includes but not limited to following steps.
S201：Obtain the height change value of wearable device；
In the present embodiment, when target state is that tumble acts, wearable device is most intuitively shown
In height change.Therefore whether it is in target state for detection wearable device, needs the height for obtaining wearable device
Changing value.When acquired height change value occurs abnormal, then following detection step is executed, with to residing for wearable device
Motion state carries out secondary judgement, improves the accuracy of testing result.
Further, the height change value for obtaining wearable device can be the real-time height value for obtaining wearable device,
And it analyzes and show that the maximum variable quantity of a preset duration inner height value is the height change value.To improve the essence of testing result
Exactness, the cycle time for obtaining the height value of wearable device need to be as short as possible, is become with approaching the actual height of wearable device
Change situation.The preset duration can be 1s~5s etc., such as 2s, 3s, 4s.Preset duration anterior and posterior height value is obtained by analysis
Maximum variable quantity, to describe the real-time height change value of wearable device.
Further, the present embodiment obtains the height value of wearable device using baroceptor in real time.Pass through air pressure
Sensor detects the air pressure level of elevational position residing for wearable device, to calculate the height above sea level residing for wearable device.
Or baroceptor, using the air pressure level of the benchmark place as a reference value, passes through air pressure sensing on the basis of a level altitude
The air pressure level that device is detected is compared with a reference value, obtains the corresponding height of air pressure level detected by baroceptor
The relativeness of degree and the benchmark, to obtain the height value of wearable device.Baroceptor detects the principle of air pressure level
Method is the customary means of those skilled in the art, and details are not described herein again.
In being different from the prior art, using the pressure sensor for being set to wearable device user vola, pass through sensing
Pressure size is to judge whether the both feet of user leave ground.Since vola is not suitable for carrying out acceleration information and physiology letter
The data collection task of the sensors such as breath, and more using the judgement algorithm of pressure sensor its human body attitude and device structure
Add complexity, is unfavorable for the micromation etc. of wearable device, and the present embodiment can simplify human body attitude using baroceptor
Algorithm and device structure are judged, so that wearable device tends to be miniaturized.For residing for wearable device user standing,
Sleeping several static poses such as lie and sit down, and the activity description of user of several static poses in wearable device
Middle proportion is larger, and judgement can simply and be effectively distinguished by baroceptor.
S202：Whether decision height changing value is more than preset height threshold value；
In the present embodiment, if height change value is more than preset height threshold value, S203 is thened follow the steps, if height change value
No more than preset height threshold value, then step S201 is continued to execute.
Preset height threshold value is the boundary value for describing wearable device and being abnormal variation in its residing short transverse.It is high
It spends changing value and is less than preset height threshold value, then it is believed that the height change that wearable device occurs in its residing short transverse exists
In zone of reasonableness, height change value is more than preset height threshold value, then it is believed that wearable device is sent out in its residing short transverse
Raw height change exceeds zone of reasonableness, there is the suspicion in target state.
Optionally, preset height threshold value can be 40cm, 50cm, 60cm, 70cm, 80cm etc..Preset height threshold value according to
The height information of wearable device user and the wearing position height of wearable device determine.Since target state is
Tumble action occurs, the height change value of usual wearable device is that the residing height of characterization wearable device declines, instantly the range of decrease
When degree is more than preset height threshold value, it is believed that there is the suspicion that tumble action occurs.
In the present embodiment, after the height change value for obtaining wearable device, the reasonability to height change value is needed
Carry out secondary judgement.Acquired height change value and preset height threshold value are compared, if height change value is more than in advance
If height threshold, then illustrates that the height change that wearable device occurs in its residing short transverse exceeds zone of reasonableness, exist
Suspicion (tumble action occurs) in target state.But be based only on height change value cannot accurately judge it is wearable
Equipment is in target state.The present embodiment is by combining the acceleration information of wearable device and its physiology of user
Information, to further increase the accuracy of testing result.
S203：Obtain the acceleration information of current wearable device and the physiologic information of the user of wearable device；
In the present embodiment, when height change value is more than preset height threshold value, then it is assumed that wearable device, which exists, to be in
The suspicion of target state needs the user's of the acceleration information and wearable device in conjunction with current wearable device
Physiologic information, whether to confirm in target state to wearable device.
Firstly, it is necessary to obtain the acceleration information of current wearable device, it is specifically as follows：Obtain currently wearable set
Standby acceleration in a first direction, on second direction and third direction takes on first direction, second direction and third direction
The 1/2 power value and the relationship change curve of time of the quadratic sum of acceleration are acceleration change curve.And wearable device
Have different characteristic acceleration information under different motion state, to describe the different motion state residing for wearable device,
The different motion state residing for wearable device is defined especially by characteristic acceleration change curve.By current wearable device
Acceleration change curve is compared with characteristic acceleration change curve of the wearable device under different motion state, currently may be used
The corresponding motion state of the matched characteristic acceleration change curve of acceleration change curve institute of wearable device is that can currently wear
Wear the motion state residing for equipment.
Further, first direction, second direction and third direction are mutually perpendicular to, to define residing for wearable device
Three dimensions.Certainly, first direction, second direction and third direction can not be also mutually perpendicular to, but first direction, second direction
And third direction cannot be coplanar with, so that first direction, second direction and third direction can define wearable set
Standby residing three dimensions.Certainly, the spatial relation of first direction, second direction and third direction is by its corresponding biography
Sensor determines.
It is effectively to reflect the posture information of human body comprehensively, while considering the power consumption and size of sensor in the present embodiment,
3-axis acceleration sensor can be selected as the sensor for the acceleration information for obtaining current wearable device.It is different from existing
Using the acceleration information of gyroscope detection wearable device in technology, due to zero (the space coordinate axial system original of gyroscope
Point) drift phenomenon is serious, and corresponding detection algorithm is more complicated, therefore the present embodiment selection 3-axis acceleration sensor can
Simplify detection algorithm, reduce reduces the computation burden of wearable device simultaneously to the hardware requirement of wearable device, so as to can wear
Equipment is worn to further tend to be miniaturized.
It should be noted that the motion state detection method that the present embodiment is illustrated is fallen with the generation under different positions and pose and is moved
As being illustrated for target state.Fall under different positions and pose for the user of accurate judgement wearable device
Reverse motion, the motion state classification that wearable device is recorded have the action of the generation tumble under different positions and pose, such as in sitting, row
The generation tumble action under different positions and poses such as walk, above go downstairs, squatting down, sitting down, lying down.Wearable device records different motion simultaneously
Corresponding acceleration change curve is as the corresponding characteristic acceleration change curve of different motion state under state.And feature accelerates
It writes music the acquisition of line, can be that different motion state is simulated by multiplicating, have representative acceleration change to obtain
Characteristic acceleration change curve of the curve as the motion state.Certainly, when the motion state detection side that the present embodiment is illustrated
When the target state of method is other actions, the respective action under wearable device record sort different positions and pose moves for target
State, and using corresponding acceleration change curve as characteristic acceleration change curve.
The motion state detection method that the present embodiment is illustrated obtain in real time wearable device in a first direction, second direction
And the acceleration value on third direction, and acceleration change curve is converted in real time.Wearable device is in different motion shape
Have different acceleration change curves, i.e. the relationship change curve of acceleration a and time t under state.For example, when wearable
When equipment remains static, acceleration in three directions is with the graph of relation of time as shown in figure 3, its is corresponding
Acceleration change curve is as shown in Figure 4；When the user of wearable device is in walking states, wearable device is three sides
Upward acceleration is with the graph of relation of time as shown in figure 5, its corresponding acceleration change curve is as shown in Figure 6；When can
The user of wearable device occur during standing up tumble action, the acceleration of wearable device in three directions with
The graph of relation of time is as shown in fig. 7, its corresponding acceleration change curve is as shown in Figure 8.
In the present embodiment, work as in acquisition to whether wearable device is in the mode that target state is confirmed
Except the acceleration information of preceding wearable device, while the physiologic information of current wearable device user is obtained, with further
Improve the accuracy of motion state detection result.
According to relevant medical literature books and practical investigation, find heart rate, blood pressure, body temperature, respiratory rate, blood oxygen etc. be
Occur have respective change after tumble action.Such as caused shock, the clinical manifestation of getting up early after falling：Heart rate>
100bpm, systolic pressure<80mmHg, pulse pressure difference<20mmHg etc..It is known that some cardiovascular diseases can be induced after falling,
Clinical assessment patient bleeding risk or cardiovascular disease can all be related to several publicly-owned factors, such as age, heart rate, blood pressure
Deng.Falls Among Old People detection alarm in most detecting systems all will not or it is not rigorous go to consider these factors, cause detection accurate
Degree cannot improve.And the problem of Falls Among Old People maximum causes disease to happen suddenly no more than falling down, especially cardiovascular disease.This
Embodiment introduces the measurement of physiologic information, and purpose is exactly to incorporate to fall to cause the risks and assumptions of disease.Coordinate with other sensors,
It promptly and accurately alarms for situations such as can not independently being called for help after tumble acts occurs.
Therefore, the physiologic information for obtaining current wearable device user is the heart for obtaining current wearable device user
One or more combinations in rate, blood pressure and body temperature.The characteristic physiological information of corresponding physiologic information is that corresponding physiologic information exists
Clinical manifestation after tumble action occurs for the user of wearable device, includes feature heart rate, feature blood pressure and character
Temperature etc..Heart rate, blood pressure and body temperature with feature heart rate, feature blood pressure and feature body temperature to be compared respectively, to judge
Whether the physiologic information of current wearable device user shows as the clinical manifestation after falling.
Further, the physiologic information that the present embodiment is illustrated is illustrated by taking heart rate as an example, not thereby to this implementation
The physiological parameter type that the physiologic information that example is illustrated is included causes to limit.Then the corresponding feature heart rate of heart rate is heart rate>
100bpm.It is understood that since individual physique has differences, heart rate level of the different crowd under stress situation and not
Heart rate level under stress situation has differences, therefore feature heart rate can be according to the heart rate of the user of wearable device
Situation is set, to ensure that the feature heart rate set by wearable device is capable of the changes in heart rate feelings of accurate description user
Condition.
S204：Acceleration information is compared with the characteristic acceleration information under different motion state, and by physiology
Information is compared with characteristic physiological information；
In the present embodiment, the life of the acceleration information of current wearable device and the user of wearable device are obtained
After managing information, acceleration information is compared with the characteristic acceleration information under different motion state, and physiology is believed
Breath is compared with characteristic physiological information, to determine the motion state residing for wearable device.Specially：It is set currently wearable
The characteristic acceleration variation corresponding with the different motion state of wearable device institute record sort of standby acceleration change curve is bent
Line is compared, and the heart rate of current wearable device user is compared with feature heart rate.
Further, the corresponding feature of the illustrated wearable device record sort different motion state of the present embodiment and its right
Can be support vector machines (SVM) algorithm or cascade (cascade) algorithm etc. than algorithm used in work.But consider SVM
Algorithm is more demanding to device hardware, the hardware resource bigger of consumption, be unfavorable for wearable device reduce its manufacturing cost and
Extend the cruise duration of wearable device.Therefore the present embodiment preferably uses Cascade algorithms to complete record sort different motion state
Corresponding feature and its comparison work.
Cascade algorithms are based on cascade classifier and complete the corresponding feature of record sort different motion state and its comparison work.
Specifically, cascade classifier be based on multiple Adaboot sub-classifiers to different feature carry out processing (classification) successively come
Complete the detection to target.Multiple sub-classifiers are connected to obtain sub-classifier connection road, different sub-classifiers connection road corresponds to different
Motion state.By the characteristic acceleration information and characteristic physiological information difference under preset height threshold value, different motion state
Join the Rule of judgment of different sub-classifiers in road as its sub-classifier.By height change value, acceleration information and physiologic information
It combines into a smoothing windows (sliding window), the judgement on road is joined as the feature and the different sub-classifiers of entrance of the smoothing windows
Work.By the feature of smoothing windows one by one and successively with preset height threshold value, characteristic acceleration information and characteristic physiological information (its
Middle characteristic acceleration information can be interchanged with the judgement of characteristic physiological information sequence) it is compared, when the height that smoothing windows have
It spends changing value, acceleration information and the corresponding sub-classifier of physiologic information matching target state and joins all subclassifications in road
When the Rule of judgment of device, it can determine that wearable device is in target state.It is understood that smoothing windows had
Feature and the Rule of judgment of any sub-classifier in sub-classifier connection road mismatch, then the smoothing windows, which terminate, carries out subsequent judgement
Work.
The present embodiment is connected into sub-classifier connection road by multiple sub-classifiers using Cascade algorithms and forms cascade sort
Device, when the feature that smoothing windows have is with the Rule of judgment mismatch of any sub-classifier in sub-classifier connection road, then this is flat
Sliding window, which terminates, carries out subsequent judgement work, then starts the processing work of next smoothing windows, to reduce wearable device
Sequential operation amount extends the cruise duration of wearable device.
It should be noted that be stored respectively in a fixation big for height value and acceleration information that wearable device is acquired
In small buffer area, that is, record the height value and acceleration information in a set time.The height value corresponding record time can
Think that 1s, 2s, 3s etc., acceleration information corresponding record time can be 8s, 9s, 10s, 11s, 12s etc..It records in the time
When height change value is more than preset height threshold value, the acceleration information in the extraction record time and the feature under different motion state
Acceleration information is compared.And it is different to be not in the height that target state causes for exclusion wearable device user
Often the case where variation, physiologic information is compared with characteristic physiological information, with to moving shape residing for wearable device user
State is further confirmed that.
S205：Judge whether the motion state residing for wearable device is target state；
In the present embodiment, if the motion state residing for wearable device is target state, S206 is thened follow the steps,
If non-motion state residing for wearable device is target state, terminate flow, go to step S201.
In the present embodiment, by height change value, acceleration information and physiologic information respectively with preset height threshold value, spy
Sign acceleration information and after characteristic physiological information is compared when height change value is more than preset height threshold value, and accelerates
It, can be with when spending the corresponding characteristic acceleration information of information matches target state and physiologic information matching characteristic physiologic information
Judge that the motion state residing for wearable device is target state, you can the user of wearable device is in target movement shape
State.Height change value, acceleration information and physiologic information and preset height threshold value, characteristic acceleration information and characteristic physiological
Any link mismatches in the comparison link of information, can determine that wearable device is not at target state.
S206：Prompt message is sent out, to prompt wearable device to be in target state；
In the present embodiment, wearable device establishes physical connection, such as circuit trace or communication connection with warning device,
Such as bluetooth, WIFI etc..For example, the smart mobile phone of wearable device and its user, which are established, communicates to connect, when wearable
When equipment is in target state, sends out prompt message by smart mobile phone and call for help in time and (such as dial 120 ambulance calls
Deng).Or wearable device itself has gsm wireless radio-frequency unit etc., independently can remotely call for help, not limit herein.
A practical application scene is lifted below to be described with the technical solution for illustrating the present embodiment.Specially：It uses
Wearable device is worn on chest position (such as in pocket of chest position etc.) by person.When user is in state of sitting quietly
When, the acceleration on three-dimensional that wearable device is acquired is as shown in Figure 3.And user is not desired to continue to keep to sit quietly at this time
State is wanted to stand up.Therefore user changes and sits quietly state, executes standing activities, and unfortunately be to stand process in user
Middle generation tumble accident, the collected height change value of wearable device is more than preset height threshold value at this time.Therefore wearable to set
Acceleration on standby extraction three-dimensional is as shown in fig. 7, simultaneously corresponding conversion is that acceleration change curve is as shown in Figure 8.It is wearable
Acceleration change curve is compared equipment with the characteristic acceleration change curve of the different motion state of institute record sort, looks for
Have its matched target state (tumble accident occurs during standing), at the same by the heart rate of user at this time with it is special
Sign heart rate is compared, the clinical manifestation when the heart rate of user meets in target state, then it is assumed that at user
In target state.It these are only citing, not thereby the application scenarios of technical solution illustrated to the present embodiment cause to limit
It is fixed.
In conclusion motion state detection method provided by the present invention, by the height change for obtaining wearable device
It is worth and judges whether the height change value is more than preset height threshold value, if the height change value is more than preset height threshold value,
It is abnormal to illustrate that variation of the wearable device in its residing height exists, needs further to judge it, is somebody's turn to do with confirming
Whether the user of wearable device occurs tumble accident.Specially obtain current wearable device acceleration information and its
Acceleration information is compared the physiologic information of user with the characteristic acceleration information under different motion state, and will
Physiologic information is compared with characteristic physiological information, so that it is determined that the motion state residing for wearable device, however, it is determined that wearable
Equipment is in tumble state, then illustrates that tumble accident occurs for the user of wearable device.By the above-mentioned means, the present invention is carried
The motion state detection method of confession can improve the accuracy of motion state detection.
Referring to Fig. 9, Fig. 9 is the structural schematic diagram of one embodiment of wearable device of the present invention.
In the present embodiment, wearable device 900 includes processor 901, height sensor 902, acceleration information sensing
Device 903 and physiological information sensor 904, height sensor 902, acceleration information sensor 903 and physiologic information sensing
Device 904 is coupled with processor 901 respectively, and processor 901 is executing following action：The control acquisition of height sensor 902 can wear
Wear the height change value of equipment 900；Whether decision height changing value is more than preset height threshold value, is preset if height change value is more than
Height threshold then controls acceleration information and control life that acceleration information sensor 903 obtains current wearable device 900
Reason information sensor 904 obtains the physiologic information of the user of current wearable device 900；By acceleration information and different motion
Characteristic acceleration information under state is compared, and physiologic information is compared with characteristic physiological information, can with determination
Motion state residing for wearable device 900.
Further, height sensor 902 can be baroceptor, and acceleration information sensor 903 can be three axis
Acceleration transducer, physiological information sensor 904 can be heart rate sensor.Baroceptor and heart rate sensor are due to two
Person's respective function easy to implement, structure size is smaller, is conducive to the micromation of wearable device 900.3-axis acceleration sensor
Its corresponding acceleration collection analysis algorithm is simple, relatively low to the device hardware requirement of wearable device 900, can further promote
It is miniaturized into wearable device 900, and the computational load due to reducing wearable device 900, wearable set can be extended
Standby 900 cruise duration.900 structure size of wearable device that the present embodiment is illustrated is smaller (can be close to one piece of button
Size), cruise duration is long and testing result accuracy is high.
Referring to Fig. 10, Figure 10 is the structural schematic diagram for one embodiment of device that the present invention has store function.
In the present embodiment, the device 1000 with store function has program stored therein data 1001,1001 energy of program data
It is enough performed to realize the motion state detection method illustrated such as above-described embodiment, details are not described herein again.
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method can
To realize by another way.For example, device embodiments described above are schematical, for example, the module or
The division of unit is a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or group
Part can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown
Or the mutual coupling, direct-coupling or communication connection discussed can be by some interfaces, device or unit it is indirect
Coupling or communication connection can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of present embodiment
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also may be used
It, can also be during two or more units be integrated in one unit to be that each unit physically exists alone.It is above-mentioned integrated
The form that hardware had both may be used in unit is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
Embody, which is stored in a device with store function, including some instructions use so that
One computer equipment (can be personal computer, server or the network equipment etc.) or processor (processor) execute
The all or part of step of each embodiment the method for the present invention.And the device above-mentioned with store function includes：U
Disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access
Memory), the various media that can store program code such as magnetic disc or CD, server.
Mode the above is only the implementation of the present invention is not intended to limit the scope of the invention, every to utilize this
Equivalent structure or equivalent flow shift made by description of the invention and accompanying drawing content, it is relevant to be applied directly or indirectly in other
Technical field is included within the scope of the present invention.
Claims (10)
1. a kind of motion state detection method, which is characterized in that the method is applied to wearable device, the method includes：
Obtain the height change value of the wearable device；
Judge whether the height change value is more than preset height threshold value, if the height change value is more than the preset height threshold
Value, then obtain the acceleration information of presently described wearable device and the physiologic information of the user of the wearable device；
The acceleration information is compared with the characteristic acceleration information under different motion state, and the physiology is believed
Breath is compared with characteristic physiological information, with the motion state residing for the determination wearable device.
2. according to the method described in claim 1, it is characterized in that, the acceleration letter for obtaining presently described wearable device
The step of breath, specifically includes：
The acceleration of presently described wearable device in a first direction, on second direction and third direction is obtained, takes described
1/2 power value of the quadratic sum of acceleration and the relationship of time become on one direction, the second direction and the third direction
Change curve be acceleration change curve, the acceleration change curve to the wearable device under different motion state
Characteristic acceleration change curve be compared；
Wherein, the characteristic acceleration change curve is characteristic acceleration letter of the wearable device under different motion state
It ceases and the characteristic acceleration change curve defines the different motion state residing for the wearable device.
3. according to the method described in claim 2, it is characterized in that, the first direction, the second direction and described
Three directions are mutually perpendicular to.
4. according to the method described in claim 2, it is characterized in that, the characteristic physiological information includes feature heart rate, feature blood
The step of pressure and feature body temperature, the physiologic information of the user for obtaining presently described wearable device, specifically includes：
Obtain heart rate, blood pressure and the body temperature of presently described wearable device user, the heart rate, the blood pressure and described
Body temperature with the feature heart rate, the feature blood pressure and the feature body temperature being compared respectively.
5. according to the method described in claim 4, it is characterized in that, the method further includes：It will by cascade classifier
The height change value is compared with the preset height threshold value, by the spy under the acceleration information and different motion state
Sign acceleration information is compared and the physiologic information is compared with characteristic physiological information；Wherein, the cascade point
Class device includes multiple sub-classifiers；
It is described the height change value to be compared with the preset height threshold value, by the acceleration information and different motion
The step of characteristic acceleration information under state is compared and the physiologic information is compared with characteristic physiological information
It specifically includes：
Different motion states is corresponding with sub-classifier connection road respectively, and the sub-classifier connection route multiple sub-classifier strings
Connection gained；
By the characteristic acceleration information and characteristic physiological information difference under the preset height threshold value, different motion state
Join the Rule of judgment of different sub-classifiers in road as its sub-classifier；
The height change value, the acceleration information and the physiologic information are joined into road neutron from different sub-classifiers respectively
The Rule of judgment of grader is compared, when the height change value, the acceleration information and the physiologic information match
In target state corresponding sub-classifier connection road when the Rule of judgment of all sub-classifiers, described wearable set can determine
It is standby to be in the target state.
6. according to the method described in claim 5, it is characterized in that, described work as the acceleration information and the physiologic information
When matching the Rule of judgment of the corresponding sub-classifier of target state, it can determine that the wearable device is in the target
The step of motion state, further comprises：
When the wearable device is in the target state, prompt message is sent out, to prompt the wearable device
In the target state.
7. according to the method described in claim 6, it is characterized in that, described when the wearable device is in target movement
When state, the step of sending out prompt message, specifically includes：
The wearable device establishes physical connection or communication connection with warning device；
When the wearable device is in the target state, prompt message is sent out by the warning device；Or
The wearable device is provided with alarm, when the wearable device is in the target state, passes through institute
It states alarm and sends out prompt message.
8. a kind of wearable device, which is characterized in that the wearable device includes processor, height sensor, acceleration letter
Cease sensor and physiological information sensor, the height sensor, the acceleration information sensor and physiology letter
It ceases sensor to couple with the processor respectively, the processor is executing following action：
Control the height change value that the height sensor obtains the wearable device；
Judge whether the height change value is more than preset height threshold value, if the height change value is more than the preset height threshold
Value then controls acceleration information and the control life that the acceleration information sensor obtains presently described wearable device
Reason information sensor obtains the physiologic information of the user of presently described wearable device；
The acceleration information is compared with the characteristic acceleration information under different motion state, and the physiology is believed
Breath is compared with characteristic physiological information, with the motion state residing for the determination wearable device.
9. wearable device according to claim 8, which is characterized in that the height sensor is baroceptor, institute
It is 3-axis acceleration sensor to state acceleration information sensor, and the physiological information sensor is heart rate sensor.
10. a kind of device with store function, which is characterized in that the device with store function has program stored therein number
According to described program data can be performed to realize motion state detection method as described in any one of claim 1 to 7.
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| CN111012355A (en) * | 2019-11-26 | 2020-04-17 | 泰康保险集团股份有限公司 | Human body tumbling detection method and device, storage medium and electronic equipment |
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| CN113947867A (en) * | 2021-09-23 | 2022-01-18 | 宁波溪棠信息科技有限公司 | Method, system, electronic device and storage medium for detecting abnormal target behaviors |
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