CN206584583U - Driving training system based on augmented reality and biofeedback - Google Patents
Driving training system based on augmented reality and biofeedback Download PDFInfo
- Publication number
- CN206584583U CN206584583U CN201621137200.2U CN201621137200U CN206584583U CN 206584583 U CN206584583 U CN 206584583U CN 201621137200 U CN201621137200 U CN 201621137200U CN 206584583 U CN206584583 U CN 206584583U
- Authority
- CN
- China
- Prior art keywords
- user
- training system
- driving training
- main frame
- biofeedback
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Rehabilitation Tools (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The utility model discloses a kind of driving training system based on augmented reality and biofeedback, by using such as instrument of the environment in computer simulation real car, steering wheel, gearshift etc. and surface conditions, projected to by curved surface 3D displays on translucent bend glass plate and be shown as picture, by the height and level angle that adjust translucent bend glass plate, the platform in kind for making virtual image and building is overlapped, steering wheel, throttle clutch and brake synthesis, gearshift band force feedback, can be synchronous with the vehicle running state of simulation in real time, let user experiencing real driving experience.In addition, the system has automatic error correction function, steering wheel prompting user with force feedback turns to, throttle force feedback prompting user is slowed down, bracelet is measured by using wireless electromyographic signal simultaneously and the easy belt brain wave acquisition helmet gathers the physiologic information of user, EEG signals extract notice intensity, and electromyographic signal extracts muscular tone degree, and live fluoroscopic is shown.
Description
Technical field
The utility model is related to human-computer interaction technique field, and in particular to a kind of driving based on augmented reality and biofeedback
Sail training system.
Background technology
With the growth of population, the increase of per capita income, more and more people have purchased automobile, but thing followed traffic accident thing
Part also increases all the more.So, correct driving technology is very necessary.The issue of industrial research of looking forward to the prospect institute《2013-2017 China
Motor vehicle driving training industry depth is investigated to be reported with investment strategy planning application》It has been shown that, by the end of the year in 2012, the whole nation was shared
Institute of driver training mechanism 10347,37.7 ten thousand, learner-driven vehicle, the people of coach 43.9 ten thousand, respectively than 2006 increase by 42.2%,
75.3% and 106.6%.Meanwhile, the tuition fee of driving school is increasingly raised, but user cannot comprehensively instruct.China in 2015
Promulgate《Opinion on promoting the reform of vehicle driver training examination system》, it now is possible to driver's license can be learnt by oneself directly
Examine, it is not necessary to Fei Qu driving schools, a easily virtual driving training system, driving school's pressure can be alleviated to reduce driving school's cost.
Virtual driving, also known as automobile driving simulation, or simulative automobile driving.Refer to using modern high technology technology such as：Real-time three
Tie up image technique, vehicle dynamics simulation physical system, big visual field Display Technique (such as multichannel stereo projection system), six freely
Motion platform (or Three-degree-of-freedom motion platform), user's input hardware system, stero set, central control system etc. are spent, experience is allowed
Person experiences the vision close to true effect, the sense of hearing and the car steering of body-sensing experience in a virtual driving environment.When
Preceding virtual driving product, can not generally feed back the physics and physiologic information of comprehensive user's driving procedure and can not correct user
Driving bad habit, such virtual driving properties of product are not perfect enough.
Many papers related to this and patent are generated in recent years, it is as follows respectively：
Chinese publication number：CN105390042A, title：Simulation driving platform.The equipment copies in-car structure to build
Go out a platform.The equipment can largely simulate real environment inside car, but the equipment does not have touch feedback, it is impossible to
The true driving situation of vehicle is realistically simulated, the what is more important patent can not detect the physiology letter of user in real time
Breath, without automatic error correction function.
Chinese publication number：CN202171880U, title：A kind of three dimensional visual simulation control loop.The equipment is used
Drive simulating seat, coordinates projecting apparatus, and using the stereoscopic three-dimensional virtual scene of computer real-time synchronization generation, cause a set of force
Very, simulation driving system that is three-dimensional, immersing completely.But the equipment is also without the driving condition and driving appearance of real-time monitoring user
Gesture, it is impossible to be corrected in real time to user's driving efficiency.Practicality has much room for improvement.
Chinese publication number：CN204856968U, title：A kind of driving stimulation system learnt for driver
Device.The equipment can equally simulate true driving environment remarkably, and audiovisual and touch feedback are combined well.But
Equally exist the defect of existing drive simulating class patent, it is impossible to monitor the driving condition of user in real time, it is impossible to outstanding performance
Go out the due experience of man-machine interactive platform and performance.One ripe driving training system, is providing the basic training of drive simulating
, should also the function with correction user's driving habit while energy.
Utility model content
The purpose of this utility model is to solve drawbacks described above of the prior art, such as poor user experience, virtual reality immersion
Sense it is not strong enough, do not add sense of touch output, could not detect in real time user's physiologic information, could not correct user's driving habit,
There is provided a kind of driving training system based on augmented reality and biofeedback for the problems such as feedback signal is single.
The purpose of this utility model can be reached by adopting the following technical scheme that：
A kind of driving training system based on augmented reality and biofeedback, the driving training system includes：Curved surface 3D
Display 2, translucent bend glass plate 4, support platform 7, control main frame 8, steering wheel 6,9 and of throttle clutch and brake synthesis
Gearshift 12, wherein, the curved surface 3D displays 2 are connected with the control main frame 8 by signal wire, for by the control
The 3D image projectings that main frame 8 processed is produced are on the translucent bend glass plate 4；The curved surface 3D displays 2 with it is described semi-transparent
Bright bend glass plate 4 is from top to bottom respectively arranged at the top of the support platform 7, is fixed on and is connected with the support platform 7
Display bracket fix bar 3；The steering wheel 6 and the gearshift 12 are arranged in the support platform 7, the throttle
Clutch and brake synthesis 9 are arranged on the lower section of the support platform 7, and the steering wheel 6, the throttle clutch and brake are closed
It is connected into the 9, gearshift 12 with the control main frame 8 by signal wire；
The driving training system also includes：Brain wave acquisition equipment 10 and myoelectricity collecting device 14, wherein, the brain electricity is adopted
Collection equipment 10 is used to gather the EEG signals for wearing user, is then transported to its signal and the signal of brain wave acquisition equipment 10
The control main frame 8 of connection is handled；The myoelectricity collecting device 14 is worn in the large arm and forearm of user, for adopting
Collect the surface electromyogram signal of user, then its signal is transported to the control being connected with the signal of myoelectricity collecting device 14
Main frame 8 is handled.
Further, the curved surface 3D displays 2 pass through 3D display brackets respectively with the translucent bend glass plate 4
1 is fixed in the display bracket fix bar 3 with translucent bend glass board mount 5.
Further, the translucent bend glass board mount 5 is by turning to corner fittings and screw and the display bracket
Fix bar 3 is fixedly connected, and the height and level angle of the translucent bend glass board mount 5 can be adjusted as needed.
Further, the steering wheel 6, the throttle clutch and brake synthesis 9, the gearshift 12 are that band power is anti-
The equipment of feedback, the said equipment is while user's control information operation is gathered, by the spiritual shape of the user from the control main frame 8
State information, muscular states information, drive simulating information feed back to driving training user.
Further, the brain wave acquisition equipment 10 is the easy belt brain wave acquisition helmet, is gathered for extracting notice collection
The EEG signals of middle degree.
Further, the myoelectricity collecting device 14 is that wireless electromyographic signal measures bracelet, gathers tight for extracting muscle
Zhang Chengdu electromyographic signal.
Further, the driving training system also includes：Automotive seat 15, the height of the automotive seat 15 and preceding
Position-adjustable afterwards.
Further, safety belt 13 is provided with the automotive seat 15, is connected with the control main frame 8 by signal wire
Connect, the control main frame 8 can detect user on the automotive seat 15 whether fastening safety belt 13, and by safety belt setting fastening shape
State is by the Projection Display of curved surface 3D displays 2 on the translucent bend glass plate 4.
Further, the driving training system also includes：Multimedia audio device 11, the multimedia audio device 11
It is connected with the control main frame 8 by signal wire, the multimedia audio device 11 is simulated for playing the control main frame 8
Vehicle travel when engine sound, brake when brake sound.
The utility model has the following advantages and effect relative to prior art：
1) the utility model provides a kind of driving training system based on augmented reality and biofeedback, user can be allowed to exist
The true driver training true to nature of indoor progress, the bad steering custom of correction driver.In terms of virtual reality technology, the system energy
The multi informations such as the physiologic information of user, steering wheel feedback information, virtual surface conditions, virtual engine sound and brake sound are carried out
Fusion treatment, improves the accuracy and efficiency of human-computer interaction.
2) the system can provide 3D virtual reality imageries true to nature, possess vision, the sense of hearing and the touch feeling system of uniqueness
System, the synchronization for realizing three is rendered and coordinated, and greatly strengthen the feeling of immersion of virtual reality technology.
3) the system has automatic error correction function and in real time detection user's physiologic information function, and EEG signals extract notice
Intensity, electromyographic signal is extracted on muscular tone degree, live fluoroscopic to pellicle screen, more comprehensively user can be trained to drive
Sail technical ability.
Brief description of the drawings
Fig. 1 is the structural representation of the driving training system based on augmented reality and biofeedback in the utility model；
Fig. 2 is the left view of translucent bend glass board mount；
Fig. 3 is the dimensional structure diagram of translucent bend glass board mount；
Fig. 4 is automobile instrument perspective view；
Fig. 5 is both arms muscular states interface schematic diagram；
Fig. 6 is Multi-information acquisition Processing Algorithm flow chart；
Wherein, 1---3D display brackets, 2--- curved surface 3D displays, 3--- display bracket fix bars, 4--- is semi-transparent
Bright bend glass plate, the translucent bend glass board mounts of 5---, 6--- steering wheels, 7--- support platforms, 8--- control main frames,
9--- throttles clutch and brake, 10--- brain wave acquisition equipment, 11--- multimedia audio devices, 12--- gearshifts,
13--- safety belts, 14--- myoelectricity collecting devices, 15--- automotive seats.
Embodiment
It is new below in conjunction with this practicality to make the purpose, technical scheme and advantage of the utility model embodiment clearer
Accompanying drawing in type embodiment, the technical scheme in the utility model embodiment is clearly and completely described, it is clear that retouched
The embodiment stated is a part of embodiment of the utility model, rather than whole embodiments.Based on the implementation in the utility model
Example, the every other embodiment that those of ordinary skill in the art are obtained under the premise of creative work is not made is belonged to
The scope of the utility model protection.
Embodiment
Present embodiment discloses a kind of driving training system based on augmented reality and biofeedback, by using computer
The environment in real car is simulated, is shown by curved surface 3D displays.Meanwhile, the system contains the direction with force feedback of in-car
Disk 6, throttle clutch and brake synthesize 9, gearshift 12 to simulate vehicle operation environment, are additionally gathered containing much information
Equipment, a drive simulating environment true to nature is built by augmented reality and biofeedback technology to user.
As shown in Figure 1, Fig. 1 discloses a kind of driving training system based on augmented reality and biofeedback, the system
Including following composition component：3D display brackets 1, curved surface 3D displays 2, display bracket fix bar 3, translucent bend glass
Plate 4, translucent bend glass board mount 5, steering wheel 6, support platform 7, control main frame 8, throttle clutch and brake 9, brain electricity
Collecting device 10, multimedia audio device 11, gearshift 12, safety belt 13, myoelectricity collecting device 14, automotive seat 15.
The curved surface 3D displays 2 are connected with the control main frame 8 by signal wire, for the control main frame 8 to be produced
Raw 3D image projectings are on the translucent bend glass plate 4.
By using curved surface 3D displays 2, so as to increase the indication range of drive simulating environment, possess user wider
Wealthy drive simulating environment.The use of translucent bend glass plate 4 be in order to by virtual analog drive image whole projection to partly
On transparency glass plate, meanwhile, the curved surface radian of bend glass plate needs specifically to be customized according to 2 curved surface 3D make displays, with up to
To perfect drop shadow effect.
Control main frame 8 draws up environment inside car scene by computer mould, and translucent curved surface glass is passed through by curved surface 3D displays 2
The principle of reflection of glass plate 4, makes virtual image and is overlapped and real-time synchronization with the emulation driving platform built of material object, thus can be with
Reach user directly in the effect of manipulation virtual image.By adjust 3D display brackets 1 height and position so as to adjusting song
Face 3D displays 2, can adjust the position of translucent bend glass plate 4 by adjusting translucent bend glass board mount 5, have
There are addition 3D glasses if necessary, to meet the various demands of different user.
It is flat that the curved surface 3D displays 2 are from top to bottom respectively arranged at the support with the translucent bend glass plate 4
The top of platform 7, is fixed on the display bracket fix bar 3 being connected with the support platform 7.
In the present embodiment, the curved surface 3D displays 2 pass through 3D display branch respectively with the translucent bend glass plate 4
Frame 1 is fixed in the display bracket fix bar 3 with translucent bend glass board mount 5.
Wherein, the translucent bend glass board mount 5 is fixed by turning to corner fittings and screw with the display bracket
Bar 3 is fixedly connected, and the height and level angle of the translucent bend glass board mount 5 can be adjusted as needed.
With reference to the accompanying drawings 2 and accompanying drawing 3 in translucent bend glass board mount left view and dimensional structure diagram shown in, half
Transparent bend glass board mount 5 is combined into a U-shaped support by two section bar a2 and a section bar a3 by corner fittings b1 and screw b2,
Equally, another U-shaped support is combined into by corner fittings b1 and screw b2 by two section bar a1 and a section bar a4, by using turn
Section bar a3 and section bar a4 have been connected to corner fittings b3, support platform 7 is fixed on by corner fittings b1 and screw b2.Due to section bar carry it is recessed
The use of slot structure and corner fittings, it is possible to achieve the height of translucent bend glass board mount 5 and the regulation of level angle.
This is also included based on augmented reality and the driving training system of biofeedback：Brain wave acquisition equipment 10, the brain electricity
Collecting device 10 is used to gather the EEG signals for wearing user, is then transported to its signal and believes with the brain wave acquisition equipment 10
Number connection the control main frame 8 handled, finally, the state of mind of user is passed through into the Projection Display of curved surface 3D displays 2
On translucent bend glass plate 4.
In the present embodiment, brain wave acquisition equipment 10 use the easy belt brain wave acquisition helmet, the easy belt brain wave acquisition helmet and
EEG Processing software sharing brain wave acquisition analysis system in control main frame, the brain wave acquisition analysis system can be gathered in real time
User's EEG signals, EEG signals Real-time Feedback is filtered into control main frame, feature extraction, the associative operation such as classification,
It is mainly used to extract the eegαwave of driver.
This is also included based on augmented reality and the driving training system of biofeedback：Myoelectricity collecting device 14, the myoelectricity
Collecting device 14 is worn in the large arm and forearm of user, the surface electromyogram signal for gathering user, then that its signal is defeated
It is sent to the control main frame 8 being connected with the signal of myoelectricity collecting device 14 to be handled, finally, by the muscular states of user
By the Projection Display of curved surface 3D displays 2 on translucent bend glass plate 4.
In the present embodiment, myoelectricity collecting device 14 measures bracelet using wireless electromyographic signal, and wireless electromyographic signal measures hand
Electromyographic signal processing software sharing electromyographic signal collection analysis system in ring and control main frame, electromyographic signal collection analysis system
Unite and the sEMG of user is gathered in real time by the EMG sensors on wireless electromyographic signal measurement bracelet, control main frame 8 connects
After the signal for receiving wireless electromyographic signal measurement bracelet, signal is filtered using automatic Wavelet Transformation Algorithm, denoising, to going
Signal after making an uproar carries out the frequency spectrum that fast Fourier transform obtains sEMG signals.When the sEMG frequency spectrums of user occur moving to left phenomenon,
Then show that muscular fatigue occurs in user.Electromyographic signal collection analysis system is mainly by the collection of electromyographic signal, to monitor driving
The tensity of the arm of member, control main frame 8 makes prompting driver adjustment state and posture.
This is also included based on augmented reality and the driving training system of biofeedback：Steering wheel 6, throttle clutch and brake
Synthesis 9, gearshift 12, the steering wheel 6 and the gearshift 12 be arranged in the support platform 7, the throttle from
Clutch and brake synthesis 9 are arranged on the lower section of the support platform 7, and the steering wheel 6, throttle clutch and brake synthesize 9, changed
Blocking means 12 are connected with the control main frame 8 by signal wire.User is sitting on automotive seat 15, can conveniently operate steering wheel
6th, throttle clutch and brake synthesis 9, gearshift 12.
The steering wheel 6, the throttle clutch and brake synthesis 9, the gearshift 12 are the equipment with force feedback,
The said equipment, by the information from control main frame 8, includes user's state of mind letter while user's control information operation is gathered
Breath, muscular states information, drive simulating information feed back to user, are carried to the real driving experience of user and appropriate driving
Wake up.
Steering wheel 6, throttle clutch and brake synthesis 9, gearshift 12 and the relevant treatment software structure in control main frame 8
Into force feedback system, the steering wheel anglec of rotation and angular speed can be fed back to control main frame 8 in real time, and from control main frame 8 to
State in 3D images where user's feedback steering wheel.When car speed is too fast, the device for force feedback vibrations on throttle are reminded
User loosens throttle.
The driving training system based on augmented reality and biofeedback is adopted while drive simulating environment by brain electricity
Collect the physiologic information that equipment 10 and myoelectricity collecting device 14 detect user in real time, the muscular tone degree of such as user, degree of fatigue
And notice intensity, by the calculating of control platform 8, determine user's notice concentration degree and drive both arms muscular fatigue
Situation, and feed back to user.
It is shown in by the status display table of accompanying drawing 4 on translucent bend glass plate 4.Its state is broadly divided into muscular states
And state of attention, state of attention is divided into, in, poor three ranks, and muscular states are broadly divided into, nervous, fatigue three
Individual rank.In addition, muscular states are also sub-divided into the major muscles group of two arms, and such as accompanying drawing 5, when its muscle group is nervous, its
Send out a warning, given a green light when normal.
In a word, control main frame 8 is according to the status information of user, driving input information and correctly drives attitude information,
The operation guidance information of user is calculated, force feedback equipment is fed back to, Operating Guideline is carried out to user by force feedback equipment, repaiied
Use the bad steering custom at family instead.
This is also included based on augmented reality and the driving training system of biofeedback：Multimedia audio device 11 is described more
Media audio device 11 is connected with the control main frame 8 by signal wire, constitutes audio feedback system, the multimedia audio dress
Putting 11 is used to play the engine sound when control main frame 8 simulates vehicle traveling, and brake sound during brake improves this and is based on
Augmented reality and the driving training system of biofeedback are in experience acoustically and substantially increase the feeling of immersion of virtual environment.
The automotive seat 15 is provided with safety belt 13, is connected with the control main frame 8 by signal wire, control main frame 8
Detectable user whether fastening safety belt 13, and by safety belt setting fastening state by the Projection Display of curved surface 3D displays 2 semi-transparent
On bright bend glass plate 4.
Below, with reference to accompanying drawing 6 to the driving training system based on augmented reality and biofeedback disclosed in the utility model
Middle Multi-information acquisition Processing Algorithm is illustrated.First, user will gather EEG signals when notice is concentrated, and this process is needed
Multiple training is wanted, by training, it can be deduced that the EEG signals model concentrated of user.Then, into the differentiation stage.
By gathering the real-time EEG signals data of user, during which using frequency domain filtering, airspace filter scheduling algorithm to original EEG signals
Pre-processed, improve signal to noise ratio so that signal characteristic becomes apparent, by the brain before treated EEG signals and user
Electric signal model is contrasted, main contrast's α ripples, and when human fatigue drives, α ripples can strengthen.Believe simultaneously also by wireless myoelectricity
Number measurement bracelet electromyographic signal is acquired, by wireless electromyographic signal measure bracelet on EMG sensors to user's
SEMG is gathered in real time, and computer is received after the signal of wireless electromyographic signal measurement bracelet, and automatic small echo is used to signal
Change scaling method is filtered, denoising, and the frequency spectrum that fast Fourier transform obtains sEMG signals is carried out to the signal after denoising.When with
The sEMG frequency spectrums at family occur moving to left phenomenon, then show that muscular fatigue occurs in user.Differentiation is drawn after User Status, passes through computer
Feed back to user.User is when operating steering wheel in kind, and by the force feedback of steering wheel, computer can obtain user operation side
To the information of disk, such as anglec of rotation, angular speed, virtual image can also make corresponding operation.In virtual driving environment true to nature
In, under the assistance of brain electricity and electromyographic signal, user can obtain good driving experience and correct driving directions.
In summary, the driving training system based on augmented reality and biofeedback disclosed in the utility model by using
Environment such as instrument, steering wheel, gearshift etc. and surface conditions in computer simulation real car, it is aobvious by curved surface 3D
Show that device is projected, the catoptric imaging principle through translucent bend glass plate is shown as picture, by adjusting translucent bend glass plate
Height and level angle, the platform in kind that can make virtual image and build are overlapped, and steering wheel, throttle clutch and brake are closed
, can be synchronous with the vehicle running state of simulation in real time into, gearshift band force feedback, let user experiencing real driving
Experience.Using translucent bend glass plate, the visual range that user watches virtual image can be increased, while user can basis
The type selecting addition 3D glasses of device are particularly shown to strengthen feeling of immersion.In addition, the system has automatic error correction function, band power is anti-
The steering wheel prompting user of feedback is turned to, and throttle force feedback prompting user is slowed down, while measuring hand by using wireless electromyographic signal
Ring and the easy belt brain wave acquisition helmet gather the physiologic information of user, and EEG signals extract notice intensity, electromyographic signal
Extract on muscular tone degree, live fluoroscopic to translucent bend glass plate, reach real-time prompting user's driving condition, pass through life
Thing feeds back, and helps user to understand and improve self driving habit.The system shows control by 3D virtual images to user is seamless
Platform instrument board and Chinese herbaceous peony information of road surface, so as to save hardware cost of manufacture.
Above-described embodiment is the utility model preferably embodiment, but embodiment of the present utility model is not by above-mentioned
The limitation of embodiment, it is other it is any without departing from Spirit Essence of the present utility model with made under principle change, modify, replace
Generation, combination, simplification, should be equivalent substitute mode, belong to the claimed scope of the utility model.
Claims (9)
1. a kind of driving training system based on augmented reality and biofeedback, the driving training system includes：Curved surface 3D shows
Show device (2), translucent bend glass plate (4), support platform (7), control main frame (8), steering wheel (6), throttle clutch and stop
Car synthesis 9 and gearshift (12), wherein, the curved surface 3D displays (2) are connected with the control main frame (8) by signal wire
Connect, for the 3D image projectings that produce the control main frame (8) to the translucent bend glass plate (4)；The curved surface
3D displays (2) are from top to bottom respectively arranged at the top of the support platform (7) with the translucent bend glass plate (4),
It is fixed on the display bracket fix bar (3) being connected with the support platform (7)；The steering wheel (6) and the gearshift
(12) it is arranged in the support platform (7), the throttle clutch and brake synthesis (9) are arranged on the support platform (7)
Lower section, the steering wheel (6), the throttle clutch and brake synthesis (9), the gearshift (12) with it is described control lead
Machine (8) is connected by signal wire；
Characterized in that, the driving training system also includes：Brain wave acquisition equipment (10) and myoelectricity collecting device (14), its
In, the brain wave acquisition equipment (10) is used to gather the EEG signals for wearing user, is then transported to its signal and the brain
The control main frame (8) of electric collecting device (10) signal connection is handled；The myoelectricity collecting device (14) is worn on use
In the large arm and forearm at family, then its signal is transported to and is gathered with the myoelectricity by the surface electromyogram signal for gathering user
The control main frame (8) of equipment (14) signal connection is handled.
2. the driving training system according to claim 1 based on augmented reality and biofeedback, it is characterised in that
The curved surface 3D displays (2) and the translucent bend glass plate (4) respectively by 3D display brackets (1) with it is semi-transparent
Bright bend glass board mount (5) is fixed on the display bracket fix bar (3).
3. the driving training system according to claim 2 based on augmented reality and biofeedback, it is characterised in that
The translucent bend glass board mount (5) is solid with the display bracket fix bar (3) by turning to corner fittings and screw
Fixed connection, the height and level angle of the translucent bend glass board mount (5) can be adjusted as needed.
4. the driving training system according to claim 1 based on augmented reality and biofeedback, it is characterised in that
The steering wheel (6), the throttle clutch and brake synthesis (9), the gearshift (12) are setting with force feedback
Standby, the said equipment believes user's state of mind from the control main frame (8) while user's control information operation is gathered
Breath, muscular states information, drive simulating information feed back to driving training user.
5. the driving training system according to claim 1 based on augmented reality and biofeedback, it is characterised in that
The brain wave acquisition equipment (10) is the easy belt brain wave acquisition helmet, gathers the brain electricity for extracting notice intensity
Signal.
6. the driving training system according to claim 1 based on augmented reality and biofeedback, it is characterised in that
The myoelectricity collecting device (14) is that wireless electromyographic signal measures bracelet, gathers the myoelectricity for extracting muscular tone degree
Signal.
7. the driving training system according to claim 1 based on augmented reality and biofeedback, it is characterised in that
The driving training system also includes：Automotive seat (15), the height and front and back position of the automotive seat (15) are adjustable
Section.
8. the driving training system according to claim 7 based on augmented reality and biofeedback, it is characterised in that
Safety belt (13) is provided with the automotive seat (15), is connected with the control main frame (8) by signal wire, the control
Main frame (8) processed can detect user on the automotive seat (15) whether fastening safety belt (13), and by safety belt setting fastening state
By curved surface 3D displays (2) Projection Display on the translucent bend glass plate (4).
9. the driving training system according to claim 1 based on augmented reality and biofeedback, it is characterised in that
The driving training system also includes：Multimedia audio device (11), the multimedia audio device (11) and the control
Main frame (8) processed is connected by signal wire, and the multimedia audio device (11) is used to play the control main frame (8) simulating vehicle
Brake sound when engine sound during traveling, brake.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621137200.2U CN206584583U (en) | 2016-10-19 | 2016-10-19 | Driving training system based on augmented reality and biofeedback |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621137200.2U CN206584583U (en) | 2016-10-19 | 2016-10-19 | Driving training system based on augmented reality and biofeedback |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN206584583U true CN206584583U (en) | 2017-10-24 |
Family
ID=60108673
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201621137200.2U Expired - Fee Related CN206584583U (en) | 2016-10-19 | 2016-10-19 | Driving training system based on augmented reality and biofeedback |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN206584583U (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106448339A (en) * | 2016-10-19 | 2017-02-22 | 华南理工大学 | Driving training system based on enhanced reality and biofeedback |
| CN110349472A (en) * | 2018-04-02 | 2019-10-18 | 当家移动绿色互联网技术集团有限公司 | Virtual direction disk and true directions disk interconnection method in a kind of application of virtual driving |
| CN110825236A (en) * | 2019-11-21 | 2020-02-21 | 江西千盛影视文化传媒有限公司 | Display system based on intelligent VR speech control |
| CN110882465A (en) * | 2019-12-25 | 2020-03-17 | 厦门大学 | Attention training system and method based on electroencephalogram and motion state feedback |
| US10777012B2 (en) | 2018-09-27 | 2020-09-15 | Universal City Studios Llc | Display systems in an entertainment environment |
-
2016
- 2016-10-19 CN CN201621137200.2U patent/CN206584583U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106448339A (en) * | 2016-10-19 | 2017-02-22 | 华南理工大学 | Driving training system based on enhanced reality and biofeedback |
| CN110349472A (en) * | 2018-04-02 | 2019-10-18 | 当家移动绿色互联网技术集团有限公司 | Virtual direction disk and true directions disk interconnection method in a kind of application of virtual driving |
| US10777012B2 (en) | 2018-09-27 | 2020-09-15 | Universal City Studios Llc | Display systems in an entertainment environment |
| CN110825236A (en) * | 2019-11-21 | 2020-02-21 | 江西千盛影视文化传媒有限公司 | Display system based on intelligent VR speech control |
| CN110825236B (en) * | 2019-11-21 | 2023-09-01 | 江西千盛文化科技有限公司 | Display system based on intelligent VR voice control |
| CN110882465A (en) * | 2019-12-25 | 2020-03-17 | 厦门大学 | Attention training system and method based on electroencephalogram and motion state feedback |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106448339A (en) | Driving training system based on enhanced reality and biofeedback | |
| CN206584583U (en) | Driving training system based on augmented reality and biofeedback | |
| CN105534694B (en) | A kind of characteristics of human body's visualization device and method | |
| CN204952205U (en) | Wear -type combination body -building system | |
| Dijksterhuis et al. | Classifying visuomotor workload in a driving simulator using subject specific spatial brain patterns | |
| CN205903239U (en) | Visual acuity test and trainer based on virtual reality | |
| CN102354349A (en) | Human-machine interaction multi-mode early intervention system for improving social interaction capacity of autistic children | |
| CN113421346B (en) | Design method of AR-HUD head-up display interface for enhancing driving feeling | |
| CN105511600B (en) | A kind of multimedia human-computer interaction platform based on mixed reality | |
| CN109087485A (en) | Assisting automobile driver method, apparatus, intelligent glasses and storage medium | |
| CN103735262A (en) | Dual-tree complex wavelet and common spatial pattern combined electroencephalogram characteristic extraction method | |
| CN113743471A (en) | Driving evaluation method and system | |
| CN112102680A (en) | Train driving teaching platform and method based on VR | |
| CN111640347A (en) | Pedal brake simulator | |
| CN105853162A (en) | Multi-mode vision improvement training system and training method thereof | |
| CN112450949A (en) | Electroencephalogram signal processing method and system for cognitive rehabilitation training | |
| CN108986588A (en) | A kind of navigation virtual teaching system and method | |
| CN111863261A (en) | Method and system for relieving virtual reality disease through adaptive training | |
| CN107229125A (en) | VR eyeglass control method and device | |
| KR20120068625A (en) | Acceleration and decelerati on system of driving simulator system for disabled using eeg sensor and cont rol method of thereof | |
| CN103736249A (en) | Multi-user bicycle analog simulation system based on Internet | |
| CN106652624A (en) | Medical surgery simulation system based on VR technology and transient noise removal technology | |
| CN106409103A (en) | VR medical experience system based on transient noise denoising and correction technologies | |
| CN106693338B (en) | Visual virtual surge exercise protection training device | |
| CN205964972U (en) | Virtual interactive game device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20171024 Termination date: 20201019 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |