CN108245168A - A kind of paces periodic measurement methods based on electrostatic detection - Google Patents
A kind of paces periodic measurement methods based on electrostatic detection Download PDFInfo
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- CN108245168A CN108245168A CN201710412003.XA CN201710412003A CN108245168A CN 108245168 A CN108245168 A CN 108245168A CN 201710412003 A CN201710412003 A CN 201710412003A CN 108245168 A CN108245168 A CN 108245168A
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- paces
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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
- A61B5/103—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
- A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
Abstract
The present invention disclose it is a kind of be used for measure human body mark time or on foot when the paces period electrostatic detection method, this method is contactless measurement, belongs to electrostatic detection field.This method comprises the steps of：Step 1：Laying can detect that human body is marked time or the detection pole plate of electrostatic signal on foot；Step 2：Electrostatic signal in acquisition testing environment；Step 3：Collected signal is obtained to characterize to the electric signal of human body paces by signal processing；Step 4：The signal versus time curve is drawn, peak point contacts the moment on ground for human foot；Step 5：Operation is carried out to the curve using accurate paces period acquisition algorithm, obtains smooth curve, the time difference of peak-to-peak value is the paces period that human body marks time or walks.Non-contact electrostatic detection technology is applied in human body paces period measurement by the present invention, and new technical solution is proposed for paces period measurement.
Description
Technical field
The present invention relates to a kind of contactless humanbody paces period measuring methods, belong to application of electronic technology field.
Background technology
As the development people of society give more and more concerns for own health status and social safty, and
The progress of science and technology allows people using various portable equipments and application program conveniently and efficiently whenever and wherever possible to itself
Health status and identity information be monitored.Walking make for people's lives in an essential activity, now more into
A kind of exercising way to keep fit and healthy for many people.Although the gait and paces speed during walking are by Different Individual height, body
The influences of weight, the factors such as custom of walking, but the also information of under cover abundant personal physical condition and health status simultaneously.Institute
With nearest decades are increasingly paid close attention in terms of human body paces feature and rule by researcher.
The basic definition of gait is：" A particular way or manner of moving on foot " (foot
The ad hoc fashion of movement).As a kind of biological characteristic, gait is mankind's individual behavior feature that the day after tomorrow, living habit was formed.
Research shows that everyone gait is different, it can be as the identification feature of the personal part of difference.Gait is as a kind of biology
Feature has the advantages that not influenced by distance, the non-property invaded, is difficult to pretend, is affected by environment small etc. unique.The gait of normal person
All there is certain general character, but due to some respective physiological status of different people and the difference of walking habits, the step of Different Individual
State can also show certain difference accordingly.So the information in gait can be utilized, it is good for carry out bio-identification or human body
Health monitors.
In recent years, it is external increasing to the research work of gait, domestic also rare relevant document report.External grinds
Study carefully and obtain following achievement：
Time And Space Parameters based on gait such as cadence, step-length etc. carry out bio-identification；Early in 1994, when Niyogi is used
Empty dicing method sketches the contours human body 2D contour lines come in analysing gait using lower limb, head, joint trajectories, this is earliest about gait
The document of identification.Linear relationship between periodicity and cadence and step-length that such method is walked using people is identified, but
It is closely related the physiological characteristics such as to grow due to cadence and step-length and the height of people, leg, and with height, leg length is cannot be uniquely
People is determined, so how to exclude the influence to identification such as height, leg length is the problem of further research；
Thigh is modeled as the pendulum of link by Cunado etc., and obtains gait from the frequency component of its inclination angle signal
Feature.Chew Yean Yan et al. establish the motion model of leg with the link pendulum of two connections, from the angle of inclination of pendulum
Curve in extract certain frequency components as gait feature carry out bio-identification；
Image during based on human body walking carries out the analysis of " eigengait "；This kind of method is most widely used.In recent years,
Different in view of the speed of travel of movement human, the difference of matching way can be divided into key frame method, time normalization method, time sequence
Row method；Different for the feature of the expression-form of profile, comparing typical method has：Outer profile method, moments method, modelling, throwing
Shadow method, sampling becomes point-score, class energy diagram method and fusion method.But the Gait Recognition of these image types mainly applies in laboratory
Or the movement identification and research of sportsman, required equipment and condition are more complicated, and it is prolonged to be not particularly suited for human body
Real time monitoring.Although having carried out normalized to different light, clothing, visual angle, the variation of these conditions is still
The accuracy of measurement can be significantly affected；
And electrostatic detection technology is to realize that the detection to target identifies using the electrostatic of object institute band in movement.
“Triboelectrification of houseflies(Musca domestic L.)walking on synthetic
dielectric surfaces”Mcgonigle D F,Jackson C W and Davidson J L 2002
The method that electrostatic detection is carried out to the insect in creeping is put forward for the first time in J.Electrostat.54 167-177.It is inspired by this,
“Electrification of human body by walking”Ficker T 2006 J.Electrostat.64 10-
16 electrometer by being mounted on human body studies the variation of human body potential in movement.Due to the object of all movements
Body can all take electrostatic, and electrostatic field has unique boundary condition, therefore can be applied to electrostatic detection method to measure people
Body gait signal.
The specificity analysis of body gait signal is carried out using electrostatic detection technology, is that one kind can be under the conditions of non-contacting
The method for carrying out body gait signal analysis, since human body can be because a variety of causes carries certain electrostatic in certain environment
Lotus, and capacitance during human locomotion between step and ground can change, and can be obtained by using contactless detection electrode
Electrostatic signal caused by human motion is taken to obtain the paces period of human motion, then the paces period is analyzed, reached
Gait Recognition or health monitoring purpose；This Gait Recognition mode based on electrostatic detection does not obtain also well should at present
With and promote, and electrostatic detection is not illuminated by the light influences, and does not need to external radiant, and it is small to consume power, appropriate
It can work under unmanned environment for a long time after power designs, reliability is high, and sexual valence is higher, and this patent utilizes electrostatic detection
Mode carries out target Gait Recognition, there is good application prospect.
Invention content
The technical problem to be solved by the present invention is to be realized using Non-contact electrostatic detection mode to the human body paces period
Measure, by Non-contact electrostatic detection method obtain human body paces or on foot when electrostatic signal, painted after signal processing
The related paces signal graph of system, using obtaining the human body paces period after accurate gait cycle acquisition algorithm.The invention discloses one
The method that kind obtains the human body paces period by electrostatic detection method, this method can be used for the acquisition of body gait feature and human-step
In state parameter monitoring, the design complexity of human motion detecting system can be reduced, reduces its design cost, realized and human body is transported
The measurement of dynamic state.
The purpose of the present invention is be achieved through the following technical solutions：
A kind of human body paces periodic measurement methods based on electrostatic detection disclosed by the invention.It is as follows to implement step：
Step 1：Laying can detect human body paces or on foot the detection pole plate of electrostatic signal, the stationary electrode plate shape
For spherical or square, the position of detected about two meters of the human body of distance is placed on, is highly one meter；
Step 2：Electrostatic signal in acquisition testing environment, the electrostatic signal are obtained for each moment detection system
The potential value of electrostatic induction signal；
Step 3：By collected signal by signal processing, obtain to characterize the electric signal of human body paces；
Step 4：The signal versus time curve is drawn, peak point contacts the moment on ground for human foot；
Step 5：Operation is carried out to the curve using accurate paces period acquisition algorithm, obtains smooth curve, peak-
The time difference of peak value is human body paces or the paces period walked.
A kind of paces measuring method based on electrostatic detection, it is characterised in that：The signal processing includes micro-
Current amplification circuit, 50Hz notch filters and 10Hz low-pass filtering；Detection pole plate is used to obtain electrostatic induction electric charge amount, the quantity of electric charge
Variation can generate static induced current, which obtains after the micro-current magnification circuit that T-shaped feedback network forms can quilt
The voltage value of measurement, the signal passes through 50Hz notch filters later and 10Hz low-pass filtering removes noise, obtains characterization human-step
The electric signal cut down.
The principle of accurate paces period acquisition algorithm in step 5 is：The algorithm utilizes the human body acquired in detection electrode
Paces electrostatic signal is in the characteristic of certain repeatability in time scale, by the correlation for analyzing its " itself " and " itself "
By the interference filtering in the former paces electrostatic signal obtained in detection electrode.
Since shelter can not thoroughly hinder the transmission of electrostatic field, Non-contact electrostatic detection technology is utilized into pedestrian
Body paces period measurement influenced by shelter it is small, so by Non-contact electrostatic detection technology carry out paces period measurement have
The advantages of measurable range is larger.
Advantageous effect：
1st, the contactless humanbody paces periodic measurement methods based on electrostatic detection of the invention, can be by contactless
Electrostatic detection method measure human body paces or on foot when the paces period, and then Gait Recognition or health monitoring can be carried out.
2nd, the contactless humanbody paces periodic measurement methods based on electrostatic detection of the invention, since electrostatic sense is utilized
The characteristics of small is hindered by shelter in induction signal communication process, has the advantages that measurement range is larger.
3rd, the contactless humanbody paces periodic measurement methods based on electrostatic detection of the invention, as a result of passive type
Electrostatic detection method is not influenced by light, has round-the-clock measurement capability.
Description of the drawings
Fig. 1 human body paces electrostatic signal correlation analysis result figures
Fig. 2 is the functional block diagram of the contactless humanbody paces periodic measurement methods based on electrostatic detection
Specific embodiment
Detailed description of the present invention specific embodiment below in conjunction with the accompanying drawings.
A kind of contactless humanbody paces periodic measurement methods specific implementation step based on electrostatic detection of the present embodiment
It is as follows：
Step 1：Laying can detect human body paces or on foot the detection pole plate of electrostatic signal, the stationary electrode plate shape
For spherical or square, the position of detected about two meters of the human body of distance is placed on, is highly one meter；
Step 2：Electrostatic signal in acquisition testing environment, the electrostatic signal are obtained for each moment detection system
The potential value of electrostatic induction signal；
Step 3：By collected signal by signal processing, obtain to characterize the electric signal of human body paces；
Step 4：The signal versus time curve is drawn, peak point contacts the moment on ground for human foot；
Step 5：Operation is carried out to the curve using accurate paces period acquisition algorithm, obtains smooth curve, peak-
The time difference of peak value is human body paces or the paces period walked.
The principle of accurate paces period acquisition algorithm in step 5 is：The algorithm utilizes the human body acquired in detection electrode
Paces electrostatic signal is in the characteristic of certain repeatability in time scale, by the correlation for analyzing its " itself " and " itself "
By the interference filtering in the former paces electrostatic signal obtained in detection electrode.
It is specific as follows：
Correlation function is defined first：
Wherein, x (n) and y (n) are the determining signals of two finite energies, ρxyFor x (n) and the related coefficient of y (n).This hair
Human body paces electrostatic signal acquired in bright selection detection electrode is chosen as input quantity x (n), then in former paces electrostatic signal
One waveform of peak value maximum is inputted for sample waveform as y (n).When being analyzed, from former paces electrostatic signal x (n)
Initial point starts, and constantly moves to right y (n), and correlation analysis is carried out with equal length sequence in x (n).
And ρxyIt is that size is determined by molecule in formula, can incites somebody to actionAlso referred to as
For x (n) and the related coefficient of y (n), ρxyThen it is also known as normalized related coefficient.
The sample waveform y (n) chosen in input signal is original paces electrostatic signal x (n) and paces electrostatic signal
When, under normal circumstances, due to the presence of noises various in environment so that x (n), y (n) they are by useful signal s (n), s '
(n) it forms, that is, x (n)=s (n)+u (n), y (n)=s ' (n)+u ' (n), then intercepts with noise signal u (n), u ' (n)
New signal x (n) and the correlation function of original paces electrostatic signal y (n) are：
In formula, rus′(m) and rsu′(M) be s ' (n) and u (n) and s (n) and u ' (n) cross-correlation, and for ordinary circumstance
Under noise, should randomly generate, can't there is correlation with useful signal s (n) and s ' (n), therefore rus′(m) and rsu′
(m) the two values should very little.R in formulauu′(m) it is cross-correlation of the former paces electrostatic signal with intercepting noise in electrostatic signal
Function, and whithin a period of time, what the variation of noise was not to determine, it can thus be appreciated that ruu′(m) it is also smaller.Therefore, interception is new
Value after signal x (n) is related with original paces electrostatic signal y (n) is related with the useful signal in two signals.
When carrying out correlation analysis with former paces electrostatic signal to the new signal of interception, operation be since time zero,
Timing end point is moved to, gained related coefficient is calculated and forms a new time series.
Since the relevant signal of progress selected in the present invention is the part in original signal and former paces signal, institute
With relevant continuous progress, when the peak value for encountering former paces electrostatic signal, correlation function can be caused to generate a peak value,
And only the size difference between the peak value in former paces electrostatic signal and the peak value of sample signal is related for the peak value.
According to the method described above, correlation is carried out to the human body paces electrostatic signal obtained by Non-contact electrostatic detection device
Analysis, acquired results are as shown in Figure 1.As seen from Figure 1, after correlation analysis operation is carried out, new sequence waveform is smooth, former
Fluctuation in signal at peak value is eliminated and sequence does not change with former paces signal sequence on time coordinate after correlation.
And the present invention uses the method primarily to determining the time value of peak point finally to determine the human body paces period, it is only necessary to really
Information on domain, therefore, the normalizated correlation coefficient value of ordinate has no effect on determining for peak value after correlation is carried out, because
This can obtain the human body paces period according to the sequence.
Since shelter can not thoroughly hinder the transmission of electrostatic field, Non-contact electrostatic detection technology is utilized into pedestrian
Body paces period measurement influenced by shelter it is small, so by Non-contact electrostatic detection technology carry out paces period measurement have
The advantages of measurable range is larger.
The scope of the present invention is not only limited to the present embodiment, the present embodiment for explaining the present invention, it is all with it is of the invention
Change or modification under the conditions of same principle and design is within protection domain disclosed by the invention.
Claims (3)
1. a kind of paces measuring method based on electrostatic detection, which is characterized in that comprise the following steps：
Step 1：Laying can detect human body paces or on foot the detection pole plate of electrostatic signal, and the stationary electrode plate shape is ball
Shape or square are placed on the position of detected about two meters of the human body of distance, are highly one meter；
Step 2：Electrostatic signal in acquisition testing environment, the electrostatic signal are the electrostatic that each moment detection system obtains
The potential value of inductive signal；
Step 3：By collected signal by signal processing, obtain to characterize the electric signal of human body paces；
Step 4：The signal versus time curve is drawn, peak point contacts the moment on ground for human foot；
Step 5：Operation is carried out to the curve using accurate paces period acquisition algorithm, obtains smooth curve, peak-to-peak value
Time difference be human body paces or walk the paces period.
2. a kind of paces measuring method based on electrostatic detection according to claim 1, it is characterised in that：The signal processing
Process includes micro-current magnification circuit, 50Hz notch filters and 10Hz low-pass filtering；Detection pole plate is electric for obtaining electrostatic induction
Lotus amount, the variation of the quantity of electric charge can generate static induced current, which passes through the micro-current magnification circuit of T-shaped feedback network composition
The voltage value that can be measured is obtained afterwards, and the signal is obtained by 50Hz notch filters and 10Hz low-pass filtering removal noise later
Characterize the electric signal of human body paces.
3. a kind of paces measuring method based on electrostatic detection according to claim 1 or 2, it is characterised in that：Step 5
In accurate paces period acquisition algorithm step be：The algorithm using the human body paces electrostatic signal acquired in detection electrode when
Between on scale in the characteristic of certain repeatability, will be obtained in detection electrode by the correlation for analyzing its " itself " and " itself "
Interference filtering in the former paces electrostatic signal taken.
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Cited By (3)
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| CN110507954A (en) * | 2019-08-16 | 2019-11-29 | 刘梅 | A kind of sport is marked time intelligent training equipment |
| CN112450916A (en) * | 2021-02-01 | 2021-03-09 | 深圳市丞辉威世智能科技有限公司 | Motion state determination method, motion state determination system, foot detection device, and storage medium |
| CN113367688A (en) * | 2021-04-28 | 2021-09-10 | 北京理工大学 | Hemiplegia rating method and system based on human body static gait and TOF camera |
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| CN112450916A (en) * | 2021-02-01 | 2021-03-09 | 深圳市丞辉威世智能科技有限公司 | Motion state determination method, motion state determination system, foot detection device, and storage medium |
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