CN109077742A - A kind of detection driving fatigue degree method - Google Patents
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Abstract
The invention discloses a kind of detection driving fatigue degree methods, including, grip signal and EEG signals are acquired by detection system, and processing terminal will be sent to；Extract effective grip signal and EEG signals；Establish detection regression model；And verifying model accuracy；The detection system includes steering wheel body, including external disk, inner disc and connecting rod, and the external disk is connect with inner disc by connecting rod；Facial lock cell is set in the mounting groove of the inner disc；The facial lock cell that the present invention passes through setting, it can make the rotation of camera tracking driver's face, it is matched again with detection unit, it can be convenient for detecting driver's driving fatigue degree, it can avoid the influence of the conditions such as personal behavior, acquisition angles and environment simultaneously, and then can Accurate Prediction driver fatigue state, satisfy the use demand, guarantee the accurate performance of detection information.
Description
Technical Field
The invention relates to the technical field of driving fatigue detection, in particular to a method for detecting driving fatigue.
Background
Traffic safety involves many factors such as people, vehicles, roads and environment, and according to statistics, 25-30% of all the automobile collision accidents in the world are related to fatigue driving every year. The driving fatigue detection technology can be researched to effectively reduce and prevent the occurrence of driving accidents. At present, the detection research method aiming at the driving fatigue at home and abroad mainly adopts two methods of subjective detection and objective detection. The subjective detection method is mainly used for self-feeding back the fatigue state of a driver in the driving process, and the method is convenient to implement as a research means, but cannot reflect the fatigue state of the driver in real time. The objective detection method mainly reflects the driving fatigue by measuring relevant objective parameters such as vehicles, drivers and the like in the driving process. The objective test is mainly performed from 3 aspects: 1) detecting based on the expression characteristics of the driver; 2) detection based on vehicle parameters; 3) the method is based on the detection of the physiological signal characteristics of the driver, wherein the detection of the expression characteristics of the driver judges the fatigue state of the driver by detecting the individual characteristics of the driver, such as pupil diameter, eyelid activity, eye closing state, facial expression, head movement and the like. The non-contact measurement has no influence on the driving of the driver and is simple and easy to implement, but the fatigue judgment standard is easily influenced by conditions such as personal behaviors, collection angles and environments, so that the detection system cannot always accurately predict the fatigue state of the driver, and the use requirement cannot be met.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned problems of the conventional method for detecting driving fatigue.
Therefore, the invention aims to provide a method for detecting driving fatigue, which can enable a camera to track the rotation of the face of a driver through the face locking unit, and then the camera is matched with the detection unit, so that the driving fatigue of the driver can be conveniently detected, meanwhile, the influence of conditions such as personal behaviors, acquisition angles, environments and the like can be avoided, further, the fatigue state of the driver can be accurately predicted, the use requirements are met, the accuracy of detected information is ensured, and the data transmission module can adapt to different use requirements through the quick connecting part H, the information transmission performance is ensured, and meanwhile, the disassembly of a detection system is convenient.
In order to solve the technical problems, the invention provides the following technical scheme: a method for detecting driving fatigue comprises the steps of collecting grip strength signals and electroencephalogram signals through a detection system and sending the grip strength signals and the electroencephalogram signals to a processing terminal; extracting effective grip strength signals and electroencephalogram signals; establishing a detection regression model; verifying the accuracy of the model; the detection system comprises a steering wheel body, a detection device and a control system, wherein the steering wheel body comprises an outer disc, an inner disc and a connecting rod; the face locking unit is arranged in the mounting groove of the inner disc; and the detection unit comprises a grip strength sensing module, an electroencephalogram sensing module, a data transmission module and a preprocessing module, wherein the grip strength sensing module and the electroencephalogram sensing module are respectively connected to the preprocessing module through the data transmission module.
The invention has the beneficial effects that: the invention has reasonable design and compact structure, the camera can track the rotation of the face of the driver through the arranged face locking unit and then is matched with the detection unit, so that the driving fatigue degree of the driver can be conveniently detected, meanwhile, the influence of conditions such as personal behaviors, acquisition angles, environments and the like can be avoided, further, the fatigue state of the driver can be accurately predicted, the use requirement is met, the accuracy performance of detected information is ensured, in addition, the data transmission module can adapt to different use requirements through the quick connecting part, the information transmission performance can be ensured, and meanwhile, the disassembly of a detection system is convenient.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a schematic structural diagram of an electroencephalogram according to a first embodiment of the method for detecting driving fatigue of the present invention.
Fig. 2 is a schematic structural diagram of a detection system according to a second embodiment of the method for detecting driving fatigue of the present invention.
FIG. 3 is a schematic structural diagram of a detecting system according to a second embodiment of the method for detecting driving fatigue of the present invention.
Fig. 4 is a schematic view of an explosive structure of a steering wheel according to a second embodiment of the method for detecting driving fatigue of the present invention.
Fig. 5 is a schematic structural diagram of a face-lock unit according to a second embodiment of the method for detecting driving fatigue of the present invention.
Fig. 6 is a schematic view of the explosive structure of the driving member according to the second embodiment of the method for detecting driving fatigue of the present invention.
Fig. 7 is a partially enlarged structural view of a driving member according to a second embodiment of the method for detecting driving fatigue of the present invention.
Fig. 8 is a schematic overall structure diagram of a third embodiment of the method for detecting driving fatigue of the present invention.
Fig. 9 is a schematic structural diagram of a fixing member according to a third embodiment of the method for detecting driving fatigue of the present invention.
Fig. 10 is a schematic structural diagram of a first kit according to a third embodiment of the method for detecting driving fatigue of the present invention.
FIG. 11 is a schematic structural diagram of a second kit according to a third embodiment of the method for detecting driving fatigue of the present invention.
Fig. 12 is a schematic view of a connecting member according to a third embodiment of the method for detecting driving fatigue of the present invention.
Fig. 13 is a schematic structural diagram of a first assembling component according to a fourth and fifth embodiments of the method for detecting driving fatigue of the present invention.
FIG. 14 is a schematic view of a seal according to a fourth embodiment of the method for detecting driving fatigue of the present invention.
Fig. 15 is a schematic view of a sealing member explosion structure according to a fourth embodiment of the method for detecting driving fatigue of the present invention.
Fig. 16 is a schematic structural diagram of a connection block according to a fourth embodiment of the method for detecting driving fatigue of the present invention.
Fig. 17 is a partial structural view of a first mounting member according to a fifth embodiment of the method for detecting driving fatigue of the present invention.
Fig. 18 is a schematic structural diagram of a bearing member according to a fifth embodiment of the method for detecting driving fatigue of the present invention.
FIG. 19 is a schematic view showing the structure of a locker according to a fifth embodiment of the method for measuring driving fatigue of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Furthermore, the present invention is described in detail with reference to the drawings, and in the detailed description of the embodiments of the present invention, the cross-sectional view illustrating the structure of the device is not enlarged partially according to the general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Referring to fig. 1, a schematic overall structure diagram of a method for detecting driving fatigue according to a first embodiment of the present invention is provided, and as shown in fig. 1, a method for detecting driving fatigue includes the following steps:
s1: collecting grip strength signals and electroencephalogram signals through a detection system, and sending the grip strength signals and the electroencephalogram signals to a processing terminal;
s2: extracting effective grip strength signals and electroencephalogram signals;
s3: and establishing a detection regression model.
Further, the effective grip strength signal and the electroencephalogram signal are extracted, and a detection regression model is established and processed through a processing terminal, preferably, the processing terminal adopts a notebook, a tablet and other devices, it should be noted that the electroencephalogram activity is some spontaneous rhythmic nerve electrical activity, the frequency and the amplitude of the electroencephalogram activity are closely related to the physiological state of a person, referring to fig. 1, the electroencephalogram consists of waves with various frequencies, wherein, theta wave reflects that the emotion is inhibited or enters a rest state, α wave reflects the state that the brain is cleared and relaxed, and β wave reflects mental stress and emotional excitement or hyperactivity.
β waves are reduced and α waves are increased when the driver is in a fatigue state, and a slow wave theta wave is dominant when the driver is in a doze state from the fatigue state, the ratio R of brain wave power spectrum is (α + theta)/β is used for describing the electroencephalogram characteristics of the driving fatigue, and the evaluation of the driving fatigue based on the brain waves is shown in Table 1.
TABLE 1 fatigue evaluation chart based on electroencephalogram
| Fatigue state | R |
| Sobering up | R<1.15 |
| Mild fatigue | 1.15≤R<1.25 |
| Moderate fatigue | 1.25≤R<1.35 |
| Severe fatigue | 1.35≤R<1.45 |
| Sleepiness-like | R≥1.45 |
And experimental data is exported into an MATLAB format file through software carried by a processing terminal, is imported into MATLAB software, removes time periods of behaviors which are irrelevant to driving of a driver, and removes ocular electrical and myoelectrical artifacts by using an EEGLAB toolbox. Since the data amount of each brain wave is large, the time length of each 20s is taken as one time period. The electroencephalogram signals are subjected to power spectrum analysis by adopting a fast Fourier transform method, then the average power value of each section of different waves is calculated, and in order to reduce the influence caused by power value fluctuation of a power spectrum, the change of the electroencephalogram waves is represented by the average value of power values within 20 s.
Furthermore, the detected grip strength signal presents a one-dimensional time sequence, the characterization capability of the one-dimensional time sequence is limited, the one-dimensional time sequence cannot be directly used for fatigue prediction, and the grip strength signal of the one-dimensional time sequence needs to be subjected to feature transformation so as to extract grip strength features capable of characterizing a fatigue state. And selecting and analyzing fatigue-related features from the two aspects of time domain features and time-frequency domain features.
From the aspect of time domain characteristics, four statistics of mean value, variance, maximum value and minimum value of the grip strength signal are selected as characteristic parameters to represent the change of the grip strength. The duration is taken to be one time period every 20 s. In each segment, set xnThe value of the nth sample in the grip signal is shown, wherein N is 1, 2.
1) Mean grip strength signal:
2) grip strength signal variance:
3) maximum grip strength signal: max (x)
4) Minimum grip signal: min (x)
From the aspect of time-frequency characteristics, the sum of squares of wavelet coefficients is selected to represent the energy of the grip strength signal in a corresponding frequency band, the proportion of positive coefficients in the coefficients represents the proportion of grip strength increasing time in the whole time window, and the logarithm value of the ratio of the positive coefficients to the sum of the absolute values of negative coefficients in the coefficients is used as a characteristic to represent the ratio of the grip strength increasing amount to the grip strength decreasing amount in a corresponding time scale. By collecting grip data with a time window of 20.48s duration as a sample input, and a grip sampling frequency of 100Hz, 2048 grip sequences are shown for one sample length. And (4) performing 11-layer wavelet decomposition by using a haar wavelet function to obtain the jth wavelet coefficient of the ith layer.
Wherein,2048, r is a positive normalized coefficient. Then, calculating the characteristic indexes:
1) sum of squares of wavelet coefficients:
2) the positive coefficient ratio of the wavelet coefficient:
3) logarithm of the ratio of the sum of the positive coefficients of the wavelet coefficients to the sum of the absolute values of the negative coefficients:
these 7 indicators are used to characterize the steering wheel grip signal.
Establishing a detection regression model comprises selecting a regression model, establishing the regression model and verifying the accuracy of the analysis model; wherein the process of selecting the regression model is as follows:
the relation between independent variables and dependent variables established by the processing terminal according to the grip strength parameters of the steering wheel and the fatigue brain wave fatigue parameters is unknown, and the closest functional relation between the independent variables and the dependent variables is established. And evaluating the fitting degree of the model by using the error square sum, so that each independent variable and each dependent variable are fitted by the following common functions, thereby searching the function with the minimum error square sum.
Linearity: y is a.X + b
Reciprocal of:
logarithm: y ═ a · ln X + b
Because the nonlinear regression equation can be converted into a linear regression equation by means of variable transformation. By fitting in a mathematical modelIf ln X is replaced by X' and X ", respectively, the model can also be converted to a linear function, so that only the linear regression model needs to be studied.
Firstly, an optimal relation between the dependent variable and each independent variable is established, and the optimal relation can be determined by determining a parameter R2To assess. When sum of squared errors SSResThe smaller R2The larger the relationship established between the two.
Wherein,
according to formula 2, SS can be calculatedResAnd finding the most suitable relation between each independent variable and the dependent variable. Finding the relation between the dependent variable grip mean value X and the dependent variable electroencephalogram fatigue value Y, and respectively calculating SS of the linear model, the reciprocal model and the logarithmic modelResThe value is obtained. For the relation between other independent variables and dependent variable YThe rows are processed in the same manner to select the optimal relationship. The results of the selection are shown in table 2:
TABLE 2 independent variable vs. dependent variable selection
Establishing a regression model
Selecting several parameters from the independent variables to establish a final optimal relationship regression model. When relatively important independent variables are selected, on one hand, the model contains more independent variables, so that the model contains more information, and on the other hand, the model is simpler because fewer independent variables are needed. It is therefore necessary to find the appropriate optimal combination of arguments.
A stepwise regression algorithm, which is a commonly used regression algorithm used to select the optimal subset of independent variables in the regression model through a process of continuous iteration, is selected to find the appropriate optimal combination of independent variables. On average of steering wheel pressureFor example, regression analysis was performed by the following steps:
newly adding independent variable, calculating significance of variance, wherein the statistic of F is less than the preset value F, namely F0.05(1,n-1-1)3.84, it shows that the independent variable added to the model has a significant influence on the dependent variable, so this independent variable should be added to the regression model, and then a new partial regression equation should be re-established.
When new independent variables are introduced, the related variables which have entered the partial regression equation are made insignificant, i.e. the F statistic is greater than F0.10(1,n-1-1)2.71, the newly introduced arguments need to be removed from the partial regression equation.
And then repeating the steps continuously until all the added independent variables are subjected to variance detection, so that new independent variables cannot be introduced, and the independent variables which do not meet the requirements cannot be eliminated, and finishing the stepwise regression process.
Specifically, the stepwise regression calculation is performed by Matlab software, and a stepwise command is used, so that variables can be freely selected by the tool for statistical analysis. The call format is as follows:
stepwise(X,Y,inmodel,alpha)
wherein X represents independent variable data of a steering wheel, Y represents dependent variable data of brain electricity, inmodel is a column index of a matrix, and alpha is a significance level. The stepwise regression analysis coefficient table is shown in table 3.
TABLE 3 coefficient of regression equation
V6 is selected by regression algorithmar(x)，Pi，Pri，lpnriThe final model built by the four independent variables is: 2.415ln lpnri
Verifying analytical model accuracy
And taking a section of driving sample which does not participate in model building calculation, substituting the grip strength parameter value and the fatigue parameter value of the sample into the built model, and verifying the accuracy of the mathematical model. When substituting the results of the modelWhen the value falls in the same fatigue state region as the actual fatigue R value, the result is considered to be accurate, and vice versa. The sample verification results are shown in table 4.
Table 4 sample verification table
The verification result shows that the accuracy rate reaches 84%, which indicates that the detection of the driving fatigue state through the grip strength of the steering wheel is a more effective method.
Referring to fig. 2 to 7, which are schematic diagrams of an overall structure of a method for detecting driving fatigue according to a second embodiment of the present invention, as shown in fig. 3, a detection system of the method for detecting driving fatigue includes a steering wheel body 100, which includes an outer disc 101, an inner disc 102, and a connecting rod 103, wherein the outer disc 101 and the inner disc 102 are connected by the connecting rod 103; and a face locking unit 200 provided in the mounting groove 102a of the inner disc 102; the detection unit 300 comprises a grip strength sensing module 301, an electroencephalogram sensing module 302, a data transmission module 303 and a preprocessing module 304, wherein the grip strength sensing module 301 and the electroencephalogram sensing module 302 are respectively connected to the preprocessing module 304 through the data transmission module 303; wherein, the grip strength sensing module 301 is disposed inside the protective cover 101a of the outer disc 101.
Specifically, the main structure of the invention comprises a steering wheel body 100, a face locking unit 200 and a detection unit 300 which are matched with each other, so that a driver can be tracked and the fatigue state of the driver can be accurately detected, further, the steering wheel body 100 can play a role of bearing the face locking unit 200 and comprises an outer disc 101, an inner disc 102 and a connecting rod 103, the outer disc 101 is connected with the inner disc 102 through the connecting rod 103, wherein a protective sleeve 101a is sleeved on the outer surface of the outer disc 101, and the protective sleeve 101a can be made of rubber or textile materials; the face locking unit 200 is used for tracking and locking the face of the driver, so as to detect the facial expression of the driver, and further provide partial reference data for detecting the driving fatigue degree state, and is an important component for accurately detecting the driving fatigue degree, and specifically, is arranged in the mounting groove 102a of the inner disc 102; the detection unit 300 comprises a grip strength sensing module 301, an electroencephalogram sensing module 302, a data transmission module 303 and a preprocessing module 304, wherein the grip strength sensing module 301 and the electroencephalogram sensing module 302 are respectively connected to the preprocessing module 304 through the data transmission module 303, and information detected by the grip strength sensing module 301 and the electroencephalogram sensing module 302 can be transmitted to the preprocessing module 304 for processing; wherein, the grip sensing module 301 is disposed inside the protective cover 101a of the outer disc 101, the grip sensing module 301 and the protective cover 101a can be connected by glue or sewing, and the electroencephalogram sensing module 302 is disposed on the patch.
It should be noted that the grip sensing module 301 is a grip sensor, the electroencephalogram sensing module 302 is a pressure sensor, the grip sensor and the pressure sensor form a semiconductor deformation pressure on the surface of the sheet, and the sheet is deformed by an external force (pressure) to generate a piezoelectric impedance effect, so that the change of the impedance is converted into an electrical signal, and the measurement of the grip is realized, and the grip sensing module is arranged on the outer surface of the outer disc 101 by a screw or a super glue; the preprocessing module 304 is used for processing the sensing information of the grip strength sensing module 301 and the brain electricity sensing module 302, wherein the preprocessing module 304 is an AD converter; the data transmission module 303 may be a data line cable, and two ends of the data line cable are respectively connected to the preprocessing module 304 and the grip strength sensing module 301 (or the electroencephalogram sensing module 302).
It should be noted that the detecting unit 300 further includes a signal transceiver module 305, the signal transceiver module 305 is respectively connected with the preprocessing module 304 and the face locking unit 200, the signal transceiver module 305 is used for sending signals of the preprocessing module 304 and the camera 202 of the face locking unit 200 to a processing terminal, that is, a researcher can conveniently research driving fatigue from three aspects of driving grip strength, driving brain waves and driving micro-expressions, the preprocessing module 304 and the signal transceiver module 305 are disposed in the control box Q, wherein the processing terminal is a notebook, a tablet, a computer and other devices; the signal transceiver module 305 collects wireless transmission modes, so that researchers can monitor the wireless transmission modes in real time.
Further, the inner tray 102 further includes a protective cover 102b, the protective cover 102b is disposed on the mounting groove 102a, and the protective cover 102b and the mounting groove 102a form a sealed protective shell for protecting the face-locking unit 200, wherein the protective cover 102b is a semi-circular transparent structure.
It should be detailed that the face locking unit 200 includes a driving part 201, a camera 202 and a control part 203, which are mutually matched, and the camera 202 can track and lock the face of the driver, so as to facilitate analysis and research on the driving micro expression of the driver, and further facilitate detection of driving fatigue, specifically, the camera 202 is used for capturing and tracking the face image information of the driver and feeding back the image information, and the driving part 201 and the control part 203 are both embedded in an installation seat 201a of the driving part 201, the driving part 201 is connected with the camera 202 through the control part 203, and the control part 203 analyzes the picture shot by the camera 202, so as to control the movement of the driving part 201, and finally realize the process of locking, tracking and shooting by the camera 202, wherein the control part 203 is a controller; further, the driving member 201 further comprises an up-down rotation motor 201b, a left-right rotation motor 201c and a longitudinal adjuster 201d, which cooperate with each other to realize the omnidirectional rotation of the camera 202 installed in the mounting base 201a, so as to provide a basis for omnidirectional acquisition, wherein the up-down rotation motor 201b is embedded in a U-shaped groove of the mounting base 201a, and a rotation shaft of the up-down rotation motor 201b is connected with a wall of the U-shaped groove through a connector, and the up-down rotation motor 201b is installed on the left-right rotation motor 201c, which are connected through a turntable 201c-1, and the left-right rotation motor 201c is fixed on a lifting platform 201d-10 of the longitudinal adjuster 201d, and when in use, the longitudinal adjuster 201d drives the left-right rotation motor 201c to move up and down, the left-right rotation motor 201c drives the up-down rotation motor 201b to rotate, and the up-down rotation motor 201b drives the mounting base 201, thereby enabling omnidirectional rotation of the camera 202.
Further, the longitudinal adjuster 201d further comprises a driving motor 201d-20 and a base 201d-30, the protrusion 201d-11 of the lifting platform 201d-10 is disposed in the sliding slot 201d-31 of the base 201d-30, so that the protrusion 201d-11 can slide in the sliding slot 201d-31, that is, the lifting platform 201d-10 is embedded in the inner wall of the base 201d-30, the driving motor 201d-20 is connected with the rack plate 201d-12 of the lifting platform 201d-10 through a transmission gear, preferably, at least 2 protrusions 201d-11 and sliding slots 201d-31 are provided, and the two protrusions 201d-11 and sliding slots 201d-31 are symmetrically disposed on the lifting platform 201d-10 and the base 201d-30, respectively.
Referring to fig. 8 to 12, a third embodiment of the present invention is different from the first embodiment in that: the data transmission module 303 is provided with the quick connection part H, so that the data transmission module 303 can adapt to different use length requirements, and has the advantages of quick installation, safety, tool-free installation, transmission stability and the like, wherein the quick connection part H comprises a fastening part 400 and a fixing part 500. Specifically, referring to fig. 3, the main structure of the steering wheel comprises a steering wheel body 100, a face locking unit 200 and a detection unit 300, which are matched with each other to track a driver and accurately detect the fatigue state of the driver, further, the steering wheel body 100 can play a role of bearing the face locking unit 200, and comprises an outer disc 101, an inner disc 102 and a connecting rod 103, the outer disc 101 and the inner disc 102 are connected through the connecting rod 103, wherein a protective sleeve 101a is sleeved on the outer surface of the outer disc 101, and the protective sleeve 101a can be made of rubber or textile materials; the face locking unit 200 is used for tracking and locking the face of the driver, so as to detect the facial expression of the driver, and further provide partial reference data for detecting the driving fatigue degree state, and is an important component for accurately detecting the driving fatigue degree, and specifically, is arranged in the mounting groove 102a of the inner disc 102; the detection unit 300 comprises a grip strength sensing module 301, an electroencephalogram sensing module 302, a data transmission module 303 and a preprocessing module 304, wherein the grip strength sensing module 301 and the electroencephalogram sensing module 302 are respectively connected to the preprocessing module 304 through the data transmission module 303, and information detected by the grip strength sensing module 301 and the electroencephalogram sensing module 302 can be transmitted to the preprocessing module 304 for processing; the grip sensing module 301 is arranged on the inner side of the protective sleeve 101a of the outer disc 101, the grip sensing module 301 and the protective sleeve 101a can be connected through glue or sewing, and the electroencephalogram sensing module 302 is arranged on the patch; and be provided with quick connect component H on the data transmission module 303, can make data transmission module 303 adapt to different use length demands, and it has quick installation, safety, exempt from advantages such as instrument installation and the stability ability of guaranteeing the transmission, wherein, quick connect component H includes fastening component 400 and fixed part 500, both cooperate each other, moreover, the operation is simple, and convenient, can make the conductor 303a quick connection of two data transmission modules 303, and need not use tools such as screwdriver, and can guarantee to connect between the conductor 303a of two data transmission modules 303 closely, guarantee the waterproof performance of junction, thereby make transmission performance stable, and is safe in utilization, and reliable, wherein, conductor 303a is the copper line.
Specifically, the fastening member 400 serves as a locking and fixing member 500, so as to ensure connection tightness between the conductors 303a of the two data transmission modules 303, and includes a first sleeve 401, a connecting member 402 and a second sleeve 403, the first sleeve 401 is connected with the second sleeve 403 through the connecting member 402, wherein the first sleeve 401 and the second sleeve 403 are in a circular truncated cone structure, an open end of the first sleeve 401 is butted with an open end of the second sleeve 403, the connecting member 402 is arranged at the periphery of a connection position of the first sleeve 401 and the second sleeve 403, and preferably, the first sleeve 401, the connecting member 402 and the second sleeve 403 are made of a plastic material; and a fixing member 500 for primarily fixing the conductors 303a of the two data transmission modules 303, which is disposed inside the fastening member 400 and includes a first assembling component 501 and a second assembling component 502, wherein the second assembling component 502 is disposed on the first assembling component 501, and the second assembling component 502 has the same structure as the first assembling component 501, preferably, the end edge surfaces of the two sides of the first assembling component 501 are provided with quarter round protrusions R.
Further, a limiting step 401a is arranged on the periphery of the opening end of the first sleeve 401, and a first through hole 401b is formed in the other closed end; a thread step 403a is arranged on the periphery of the opening end of the second sleeve 403, and a second through hole 403b is formed at the other closed end; the inner wall of one end of the connecting piece 402 is provided with a limiting convex block 402a, the inner wall of the other end is provided with an internal thread 402b, wherein the limiting convex block 402a abuts against one end of a limiting step 401a, the internal thread 402b is screwed with a thread step 403a, so that the first sleeve 401 is connected with the second sleeve 403, preferably, the inner sides of the opening ends of the first sleeve 401 and the second sleeve 403 are both provided with a rubber ring to play a role in sealing and waterproofing, and it should be further explained that the first sleeve 401 and the second sleeve 403 are respectively provided with two first semicircular grooves 401c and two second semicircular grooves 403c, and the two first semicircular grooves 401c and the two second semicircular grooves 403c are respectively symmetrically arranged and are respectively matched with the quarter circular protrusions R on the second assembly component 502 and the first assembly component 501.
Referring to fig. 13 to 16, a fourth embodiment of the present invention is different from the previous embodiment in that: the first fitting assembly 501 includes a carrier 501a and a seal 501 b. Specifically, referring to fig. 3, the main structure of the steering wheel comprises a steering wheel body 100, a face locking unit 200 and a detection unit 300, which are matched with each other to track a driver and accurately detect the fatigue state of the driver, further, the steering wheel body 100 can play a role of bearing the face locking unit 200, and comprises an outer disc 101, an inner disc 102 and a connecting rod 103, the outer disc 101 and the inner disc 102 are connected through the connecting rod 103, wherein a protective sleeve 101a is sleeved on the outer surface of the outer disc 101, and the protective sleeve 101a can be made of rubber or textile materials; the face locking unit 200 is used for tracking and locking the face of the driver, so as to detect the facial expression of the driver, and further provide partial reference data for detecting the driving fatigue degree state, and is an important component for accurately detecting the driving fatigue degree, and specifically, is arranged in the mounting groove 102a of the inner disc 102; the detection unit 300 comprises a grip strength sensing module 301, an electroencephalogram sensing module 302, a data transmission module 303 and a preprocessing module 304, wherein the grip strength sensing module 301 and the electroencephalogram sensing module 302 are respectively connected to the preprocessing module 304 through the data transmission module 303, and information detected by the grip strength sensing module 301 and the electroencephalogram sensing module 302 can be transmitted to the preprocessing module 304 for processing; the grip sensing module 301 is arranged on the inner side of the protective sleeve 101a of the outer disc 101, the grip sensing module 301 and the protective sleeve 101a can be connected through glue or sewing, and the electroencephalogram sensing module 302 is arranged on the patch; the first assembling component 501 comprises a bearing piece 501a and a sealing piece 501b, wherein the bearing piece 501a is provided with sealing grooves 501a-10, and the sealing piece 501b is arranged in the sealing grooves 501a-10 of the bearing piece 501a, wherein the bearing piece 501a is made of plastic, the sealing grooves 501a-10 are four, the four sealing grooves 501a-10 are respectively arranged at four corners of the bearing piece 501a, the sealing grooves 501a-10 at adjacent ends are isolated by a partition plate L, and the partition plate L is arranged in the middle of the bearing piece 501 a; it should be noted that the sealing member 501b includes two pushing blocks 501b-10, a connecting block 501b-20 and a sealing body 501b-30, where the two pushing blocks 501b-10 are both composed of a sealing push plate 501b-11 and a mounting shaft 501b-12, one end of the mounting shaft 501b-12 is fixed on the sealing push plate 501b-11, the other end is embedded in a mounting shaft hole 501b-21 of the connecting block 501b-20, the sealing body 501b-30 and the pushing blocks 501b-10 are symmetrically arranged at two ends of the connecting block 501b-20, and it should be noted that the sealing push plate 501b-11 is mounted in a mounting hole of a limiting body 501a-40 of the bearing member 501 a.
It should be noted that the sealing body 501b-30 comprises a shrink tube 501b-31, a push plate 501b-32 and a push rod 501b-33, the shrink tube 501b-31 and the push rod 501b-33 are arranged at two ends of the push plate 501b-32, the other end of the push rod 501b-33 is embedded in a push rod hole 501b-22 of the connecting block 501b-20, the mounting shaft 501b-12 and the push rod 501b-33 are respectively arranged at two ends of the connecting block 501b-20, wherein the shrink tube 501b-31 has a semicircular cross section and is made of soft plastic; the push plates 501b-32 are of a semicircular structure, and the push plates 501b-32 and the push rods 501b-33 are made of hard plastics.
Further, the sealing grooves 501a-10 are divided into first grooves 501a-11, second grooves 501a-12 and third grooves 501a-13, the second grooves 501a-12 are adjacent to the third grooves 501a-13, and the first grooves 501a-11 are opened on both sides of the second grooves 501a-12, wherein the third grooves 501a-13 are semi-circular in cross section and communicate with the semi-circular hole K of the carrier 501a, the sealing bodies 501b-30 are disposed in the third grooves 501a-13, and the push rods 501b-33 of the sealing bodies 501b-30 pass through the sliding grooves of the semi-circular plate F to connect with the connecting blocks 501b-20 disposed in the second grooves 501a-12, and the length of the third grooves 501a-13 is greater than that of the connecting blocks 501 b-20.
Referring to fig. 13 and 17 to 19, a fifth embodiment of the present invention, which is different from the previous embodiment, is: first mounting assembly 501 further includes retaining member 501c and catch 501 d. Specifically, referring to fig. 8, the main structure of the connector includes a fastening member 400 serving as a locking fastening member 500 to ensure tight connection between the conductors 303a of two data transmission modules 303, and the connector includes a first sleeve 401, a connector 402 and a second sleeve 403, the first sleeve 401 and the second sleeve 403 are connected by the connector 402, wherein the first sleeve 401 and the second sleeve 403 are of a circular truncated cone structure, an open end of the first sleeve 401 is abutted to an open end of the second sleeve 403, and the connector 402 is disposed at the periphery of the connection between the first sleeve 401 and the second sleeve 403, preferably, the first sleeve 401, the connector 402 and the second sleeve 403 are made of a plastic material; the fixing member 500, which plays a role of primarily fixing the conductors 303a of the two data transmission modules 303, is disposed inside the fastening member 400, and includes a first assembling component 501 and a second assembling component 502, the second assembling component 502 is disposed on the first assembling component 501, and the second assembling component 502 has the same structure as the first assembling component 501, preferably, the end edge surfaces of both sides of the first assembling component 501 are provided with quarter round protrusions R; the first assembling component 501 comprises a bearing piece 501a and a sealing piece 501b, wherein the bearing piece 501a is provided with sealing grooves 501a-10, the sealing piece 501b is arranged in the sealing grooves 501a-10 of the bearing piece 501a, the bearing piece 501a is made of plastic, the sealing grooves 501a-10 are four, the four sealing grooves 501a-10 are respectively arranged at four corners of the bearing piece 501a, the sealing grooves 501a-10 at adjacent ends are isolated by a partition plate L, and the partition plate L is arranged in the middle of the bearing piece 501 a; it should be noted that the sealing member 501b comprises two pushing blocks 501b-10, a connecting block 501b-20 and a sealing body 501b-30, wherein the two pushing blocks 501b-10 are both composed of a sealing push plate 501b-11 and a mounting shaft 501b-12, one end of the mounting shaft 501b-12 is fixed on the sealing push plate 501b-11, the other end is embedded in a mounting shaft hole 501b-21 of the connecting block 501b-20, the sealing body 501b-30 and the pushing blocks 501b-10 are symmetrically arranged at two ends of the connecting block 501b-20, and it should be noted that the sealing push plate 501b-11 is arranged in a mounting hole of a limiting body 501a-40 of the bearing member 501 a; the first assembling component 501 further comprises a locking member 501c and a locking catch 501d, the locking member 501c passes through the through holes 501a-20 of the carrier 501a to be connected with the protrusions 501a-30, the protrusions 501a-30 are fixed on the limiting bodies 501a-40 at two ends of the through holes 501a-20, the ends of the conductors 303a of the two data transmission modules 303 are symmetrically arranged on the placing bodies 501c-10 of the locking member 501c in a superposed manner in two directions through the same horizontal plane, the other ends of the conductors 303a of the two data transmission modules 303 are arranged on the sealing bodies 501b-30, the locking catch 501d plays a role of initially fixing the conductors 303a of the two data transmission modules 303, after the conductors 303a of the two data transmission modules 303 are placed, the locking catch 501d is clamped on the conductors 303a and is embedded in the first grooves 501a-11 of the sealing grooves 501a-10, the lock catch 501d is of a U-shaped structure and made of plastic, preferably, two locking pieces 501c and two through holes 501a-20 are arranged, and the two locking pieces 501c and the two through holes 501a-20 are symmetrically arranged by taking the partition plate L as a partition line.
Furthermore, the locking member 501c further comprises a pressing body 501c-20 and an engaging protrusion 501c-30, the placing body 501c-10 is arranged on the pressing body 501c-20, the engaging protrusion 501c-30 is arranged at two ends of the pressing body 501c-20 and the placing body 501c-10, a slope pushing surface M is formed, the slope pushing surface M is matched with the sealing pushing plate 501b-11, and it should be noted that the outer surface of the pressing body 501c-20, which is positioned at the through hole 501a-20, is in an arc structure; the connecting bumps 501c-30 are provided with sliding grooves 501c-31, the sliding grooves 501c-31 are slope-shaped, so that the sliding grooves 501c-31 and the protrusions 501a-30 can be conveniently installed and matched, and the placing body 501c-10, the extruding body 501c-20 and the connecting bumps 501c-30 are preferably of an integrated structure and are manufactured through injection molding.
Preferably, the bearing 501a is further provided with deformable plates 501a-50, and the deformable plates 501a-50 are disposed on two sides of the through holes 501 a-20.
During assembly, the connecting member 402 is arranged outside the first sleeve member 401, the conductor 303a of one data transmission module 303 passes through the first through hole 401b, the conductor 303a of the other data transmission module 303 passes through the second through hole 403b of the second sleeve member 403, the ends of the conductors 303a of the two data transmission modules 303 are properly superposed on the placing bodies 501c-10 of the locking member 501c, the extending ends of the conductors 303a of the two data transmission modules 303 are arranged on the sealing bodies 501b-30, after the conductors 303a of the two data transmission modules 303 are placed, the lock catch 501d is clamped on the conductors 303a and embedded in the first grooves 501a-11 of the sealing grooves 501a-10, the conductors 303a of the two data transmission modules 303 are initially fixed, and then the second assembly member 502 is clamped; two shrink tubes 501b-31 form a finished sealing body, then the second sleeve 403 and the first sleeve 401 are moved, in the moving process of the two shrink tubes, when the extrusion body 501c-20 is pushed into the through hole 501a-20, the sealing push plate 501b-11 is pushed due to the contact force, so that the pushing push plate 501b-32 with the sealing push plate 501b-11 slides in the third groove 501a-13, and the shrink tubes 501b-31 are pushed to be extruded to the semicircular hole K to seal the conductor 303a, at this time, the internal thread 402b of the connecting piece 402 is screwed with the thread step a of the second sleeve 403, and finally, the quick connection of the conductor 303a of the two data transmission modules 303 can be realized, and the transmission performance can be stabilized, and the use is safe and reliable.
It is important to note that the construction and arrangement of the present application as shown in the various exemplary embodiments is illustrative only. Although only a few embodiments have been described in detail in this disclosure, those skilled in the art who review this disclosure will readily appreciate that many modifications are possible (e.g., variations in sizes, dimensions, structures, shapes and proportions of the various elements, values of parameters (e.g., temperatures, pressures, etc.), mounting arrangements, use of materials, colors, orientations, etc.) without materially departing from the novel teachings and advantages of the subject matter recited in this application. For example, elements shown as integrally formed may be constructed of multiple parts or elements, the position of elements may be reversed or otherwise varied, and the nature or number of discrete elements or positions may be altered or varied. Accordingly, all such modifications are intended to be included within the scope of this invention. The order or sequence of any process or method steps may be varied or re-sequenced according to alternative embodiments. In the claims, any means-plus-function clause is intended to cover the structures described herein as performing the recited function and not only structural equivalents but also equivalent structures. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments without departing from the scope of the present inventions. Therefore, the present invention is not limited to a particular embodiment, but extends to various modifications that nevertheless fall within the scope of the appended claims.
Moreover, in an effort to provide a concise description of the exemplary embodiments, all features of an actual implementation may not be described (i.e., those unrelated to the presently contemplated best mode of carrying out the invention, or those unrelated to enabling the invention).
It should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort might be complex and time consuming, but would nevertheless be a routine undertaking of design, fabrication, and manufacture for those of ordinary skill having the benefit of this disclosure, without undue experimentation.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. A method for detecting driving fatigue is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
collecting grip strength signals and electroencephalogram signals through a detection system, and sending the grip strength signals and the electroencephalogram signals to a processing terminal;
extracting effective grip strength signals and electroencephalogram signals; and the number of the first and second groups,
establishing a detection regression model;
the detection system comprises a steering wheel body (100) which comprises an outer disc (101), an inner disc (102) and a connecting rod (103), wherein the outer disc (101) is connected with the inner disc (102) through the connecting rod (103);
a face lock unit (200) provided in a mounting groove (102a) of the inner disc (102); and the number of the first and second groups,
the detection unit (300) comprises a grip strength sensing module (301), an electroencephalogram sensing module (302), a data transmission module (303) and a preprocessing module (304), wherein the grip strength sensing module (301) and the electroencephalogram sensing module (302) are respectively connected to the preprocessing module (304) through the data transmission module (303).
Wherein, the grip strength sensing module (301) is arranged inside the protective sleeve (101a) of the outer disc (101).
2. The method of detecting driving fatigue of claim 1, wherein: the extraction of the effective grip strength signal and the electroencephalogram signal and the establishment of the detection regression model are processed by the processing terminal.
3. The method of detecting driving fatigue of claim 1 or 2, wherein: the detection unit (300) further comprises a signal transceiving module (305), and the signal transceiving module (305) is respectively connected with the preprocessing module (304) and the face locking unit (200).
4. The method of detecting driving fatigue of claim 3, wherein: the face locking unit (200) comprises a driving piece (201), a camera (202) and a control piece (203), wherein the camera (202) is connected with the driving piece (201) through the control piece (203);
the camera (202) and the control element (203) are embedded in a mounting seat (201a) of the driving element (201).
5. The method of detecting driving fatigue of claim 4, wherein: the driving piece (201) further comprises an up-and-down rotating motor (201b), a left-and-right rotating motor (201c) and a longitudinal regulator (201d), the up-and-down rotating motor (201b) is arranged on a rotary table (201c-1) of the left-and-right rotating motor (201c), and the left-and-right rotating motor (201c) is fixed on a lifting table (201d-10) of the longitudinal regulator (201 d).
6. The method of detecting driving fatigue of claim 5, wherein: the up-down rotation motor (201b) is embedded in the U-shaped groove of the mounting seat (201a), and a rotating shaft of the up-down rotation motor (201b) is connected with the wall of the U-shaped groove.
7. The method of detecting driving fatigue of claim 6, wherein: the longitudinal regulator (201d) further comprises a driving motor (201d-20), and the driving motor (201d-20) is connected with a rack plate (201d-12) of the lifting platform (201d-10) through a transmission gear.
8. The method of detecting driving fatigue of claim 7, wherein: the longitudinal adjuster (201d) further comprises a base (201d-30), and the protrusion (201d-11) of the lifting platform (201d-10) is arranged in the sliding groove (201d-31) of the base (201 d-30).
9. The method of detecting driving fatigue of claim 8, wherein: the electroencephalogram sensing module (302) adopts a pressure sensor.
10. The method of detecting driving fatigue of claim 9, wherein: the touch sensing module (301) is a grip strength sensor.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5626145A (en) * | 1996-03-20 | 1997-05-06 | Lockheed Martin Energy Systems, Inc. | Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection |
| CN1266543A (en) * | 1998-04-24 | 2000-09-13 | 方D公司 | Bolted electrical connecting device for multiple electrical conductors |
| US20080294012A1 (en) * | 2007-05-22 | 2008-11-27 | Kurtz Andrew F | Monitoring physiological conditions |
| CN103948394A (en) * | 2014-04-04 | 2014-07-30 | 驻马店市金格尔电气设备有限公司 | Fatigue driving detecting system and fatigue relief device |
| CN107088128A (en) * | 2017-05-03 | 2017-08-25 | 河北工业大学 | It is a kind of to move the behavior safety control method for multiplying nursing robot |
| CN206489576U (en) * | 2016-11-09 | 2017-09-12 | 谭萍 | Recognition of face monitoring system |
| CN107296596A (en) * | 2017-07-18 | 2017-10-27 | 西安科技大学 | The staff's fatigue monitoring system and method for a kind of underground coal mine |
| CN107468241A (en) * | 2016-06-07 | 2017-12-15 | 汪子锋 | Brain electricity cap |
| CN207072377U (en) * | 2016-12-14 | 2018-03-06 | 河北建筑工程学院 | A kind of vehicle steering for preventing fatigue driving |
-
2018
- 2018-06-30 CN CN201810716098.9A patent/CN109077742B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5626145A (en) * | 1996-03-20 | 1997-05-06 | Lockheed Martin Energy Systems, Inc. | Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection |
| CN1266543A (en) * | 1998-04-24 | 2000-09-13 | 方D公司 | Bolted electrical connecting device for multiple electrical conductors |
| US20080294012A1 (en) * | 2007-05-22 | 2008-11-27 | Kurtz Andrew F | Monitoring physiological conditions |
| CN103948394A (en) * | 2014-04-04 | 2014-07-30 | 驻马店市金格尔电气设备有限公司 | Fatigue driving detecting system and fatigue relief device |
| CN107468241A (en) * | 2016-06-07 | 2017-12-15 | 汪子锋 | Brain electricity cap |
| CN206489576U (en) * | 2016-11-09 | 2017-09-12 | 谭萍 | Recognition of face monitoring system |
| CN207072377U (en) * | 2016-12-14 | 2018-03-06 | 河北建筑工程学院 | A kind of vehicle steering for preventing fatigue driving |
| CN107088128A (en) * | 2017-05-03 | 2017-08-25 | 河北工业大学 | It is a kind of to move the behavior safety control method for multiplying nursing robot |
| CN107296596A (en) * | 2017-07-18 | 2017-10-27 | 西安科技大学 | The staff's fatigue monitoring system and method for a kind of underground coal mine |
Non-Patent Citations (2)
| Title |
|---|
| M. JAGANNATH, VENKATESH BALASUBRAMANIAN: "Assessment of early onset of driver fatigue using multimodal fatigue measures in a static simulator", 《APPLIED ERGONOMICS》 * |
| 沙春发，李瑞，张明明: "基于方向盘握力的疲劳驾驶检测研究", 《科学技术与工程》 * |
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