CN201838333U - Music player based on state of driver - Google Patents
Music player based on state of driver Download PDFInfo
- Publication number
- CN201838333U CN201838333U CN2010206082553U CN201020608255U CN201838333U CN 201838333 U CN201838333 U CN 201838333U CN 2010206082553 U CN2010206082553 U CN 2010206082553U CN 201020608255 U CN201020608255 U CN 201020608255U CN 201838333 U CN201838333 U CN 201838333U
- Authority
- CN
- China
- Prior art keywords
- driver
- state
- music player
- real
- image
- 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
Images
Landscapes
- Auxiliary Drives, Propulsion Controls, And Safety Devices (AREA)
Abstract
The utility model discloses a music player based on the state of a driver and relates to a safe driving device which is arranged on a vehicle and accords with the human psychology. A monitoring and relieving device for the poor mental state of the driver is characterized in that the device sequentially comprises a camera, a video decoder, a digital signal processor, a state detector, a singlechip processor and the music player; the camera can be used for acquiring images on driving situation of the driver in real time; the video decoder is used for compressing the acquired images; the digital signal processor is used for processing the compressed images; the state detector is used for judging the real-time state of the driver according to the processed images; the singlechip processor is used for starting a corresponding songbook or returns to the first step according to the real-time state of the driver, judged in the previous step; and the music player is used for playing the corresponding song. The monitoring and relieving device can identify the poor mental state of the driver under the driving condition in real time automatically and display various corresponding leisurely songs.
Description
Technical field
The utility model relates to the safety traffic device that meets the humanistic psychology that is installed on the vehicle, particularly relates to a kind of the bad state of mind of driver under the transport condition being carried out identification in real time automatically and play the releive defective mode of song of variety classes correspondence and drive monitoring, alleviate the device of system.
Background technology
Had first motor vehicle to begin, people just never stopped driver's research, for a long time to driver's research center of gravity be placed on always to its body, Psychology Research with and the harm that driving is caused of bad body, psychoreaction on.But in driver's driving process, along with the variation of subjective and objective condition, corresponding variation also can take place in its state of mind thereupon.The state of mind directly affects reception, judgement and the course of reaction of driver to Traffic Information.The driver when driving, the traffic hazard that causes owing to the state of mind is unstable is of common occurrence.Therefore, the traffic study person of these several years countries in the world has listed driver's the state of mind and traffic safety relation among the research object in.Can driver's the state of mind be to determine it correctly finish the key of operations under emergency situations, the state of mind of good health can allow driver's reason, in time, take appropriate measures accurately more, the passive bad state of mind makes the driver take measures to lag behind possibly even might be inappropriate measure, causes unnecessary injures and deaths.
This shows whether are the good of driver's state of mind and the bad safety that has directly influenced driving, and study the maximum problem in driver spirit aspect now is about the reaction of driver under fatigue state, the main direction of research is that some physiological reactions such as the number of winks, pulse by the identifier judge whether the driver is in fatigue state, and more the research in forward position is can send chimes of doom after the driver is in fatigue state and carry out early warning determining.But driver's the bad state of mind does not have only a kind of of fatigue, these bad state of mind such as excited, sad, painful, as to lose all may cause the driver absent minded, judge a series of harm such as unwisely, operation is incorrect, the consequence that causes that has is than serious many of fatigue driving.Therefore make a general survey of disclosed technical scheme about the monitoring driving condition, all there is limitation, just will improve fatigue driving as purpose of design, and ignore other and can cause the defective mode of major accident equally, can not really play the effect of assisting the driver safety driving.And existing early warning means are simple, mechanization, but though play caution effect impersonalityization, personalization, action time is also short, just after judging state, send several alarms or produce vibration several times, can only be temporary improvement like this, can not fundamentally releive driver's the bad state of mind, the early warning effect is not thorough.
The utility model content:
The purpose of this utility model: aim to provide and a kind ofly utilize judgement that video image processing technology and Expression Recognition technology carry out the bad state of mind of driver and releive, after comparing, determine that current state is " bad " with the expression template of bad steering state, device is just play the song of releiving automatically and is mediated, automatically change the song of releiving according to the change of driver's real-time status and finally make driving condition recover normal, on the basis of hommization, personalization, improve the security of travelling greatly.
Music player based on driver status is characterized in that: this device comprises video camera, Video Decoder, digital signal processor, state detector, processor of single chip computer, music player successively.Video camera is gathered driver's driving situation map picture in real time; Video Decoder compresses the image of gathering; Digital signal processor: the image after will compressing carries out Flame Image Process; State detector is judged driver's real-time status according to the image after handling; Monolithic processor judges that according to previous step driver's real-time status starts corresponding bent storehouse or returns the first step; Music player is play corresponding song.
This installs concrete technical scheme and comprises:
The first step is that driver status detects, it utilizes video camera to gather driver's face-image in real time, the picture signal that obtains is compressed the back to be handled by the image processing program of digital signal processor, detect the state of driver's eyes and mouth again via state detector, final decision driver's the state of mind.
The classification of driver's defective mode, be not in the past only include fatigue, the defective mode that influences traffic safety is divided into excitement, sadness, indignation, detest, dull.
The second step driver status is alleviated, and driver's state of mind that the first step is judged is imported in the center processing unit, if the state of input is " neutrality ", does not force to play and reconciles song, returns the first step and continues real-time monitoring.If the state of input is " excitement ", " sadness ", " indignation ", " detest ", " dull ", then start and reconcile music Qu Ku, play the candidate song of corresponding Qu Ku, when detecting state for " neutrality ", pick-up unit stops.Device can be made different alleviation songs at each state of mind in advance, and the user also can establish in advance according to the personal like.
The bad state of mind of driver remission method, at different states different music is set, reconcile state by playing corresponding alleviation song.Divide six Qu Ku in the music playing system, reconcile excited Qu Ku respectively, reconcile sad Qu Ku, reconcile angry Qu Ku, reconcile detest Qu Ku, reconcile dull Qu Ku, shuffle Qu Ku.The first five is reconciled bent storehouse user and selects song from the alternative Qu Ku that is set in advance by psychological professional, and shuffle Qu Ku is that the user sets according to personal preference oneself.
The utility model is changed the song of releiving automatically according to the change of driver's real-time status finally makes driving condition recover normal, improves the security of travelling on the basis of hommization, personalization greatly.
Description of drawings
Fig. 1 is the hardware composition frame chart based on driver's music player
Fig. 2 is the system flowchart based on driver's music player
Embodiment:
Below in conjunction with drawings and Examples the utility model is further described.
Monitoring, the relieving apparatus of the bad state of mind of a kind of driver as shown in Figure 1.Comprise video camera, with real-time collection driver's driving situation map picture; Video Decoder compresses the digital video of gathering; Digital signal processor: the image after will compressing carries out Flame Image Process; State detector is judged driver's real-time status according to the image after handling; Monolithic processor starts corresponding bent storehouse or returns previous step according to the previous step judged result; Music player is play the corresponding song of alleviating.
The monitoring of the bad state of mind of a kind of as shown in Figure 2 driver, the method for alleviation.Behind the vehicle launch, be installed in the facial expression image information that camera on the rearview mirror begins to gather in real time the driver, the driver is monitored.The image that collects is handled by the image processing program of digital signal processor then through the Video Decoder compression earlier, utilizing ASM profile extraction algorithm to extract eigenvector then is the position of eyes, according to the position of eyes facial image is extracted again, generate normalized eigenface by the position of people's face chin.Obtain the most effective feature in the eigenface according to the AdaBoost algorithm again, promptly obtain the image of eyes and mouth, adopt the expression template matches and in conjunction with the method for expressive features (subordinate list 1), discern the state of eyes and mouth, final decision driver's the state of mind with the measuring similarity similarity degree.After judging driver's state, the result is imported monolithic processor, if the state of input is " neutrality ", does not force to play and reconcile song, return the first step and continue monitoring in real time.If the state of input is " excitement ", " sadness ", " indignation ", " detest ", " dull ", then start and reconcile music Qu Ku, play the candidate song of corresponding Qu Ku, when detecting state for " neutrality ", pick-up unit stops.
Claims (1)
1. based on the music player of driver status, it is characterized in that: this device comprises video camera, Video Decoder, digital signal processor, state detector, processor of single chip computer, music player successively; Video camera is gathered driver's driving situation map picture in real time; Video Decoder compresses the image of gathering; Digital signal processor: the image after will compressing carries out Flame Image Process; State detector is judged driver's real-time status according to the image after handling; Monolithic processor judges that according to previous step driver's real-time status starts corresponding bent storehouse or returns the first step; Music player is play corresponding song.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010206082553U CN201838333U (en) | 2010-11-12 | 2010-11-12 | Music player based on state of driver |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010206082553U CN201838333U (en) | 2010-11-12 | 2010-11-12 | Music player based on state of driver |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201838333U true CN201838333U (en) | 2011-05-18 |
Family
ID=44008436
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010206082553U Expired - Fee Related CN201838333U (en) | 2010-11-12 | 2010-11-12 | Music player based on state of driver |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN201838333U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104548309A (en) * | 2015-01-05 | 2015-04-29 | 浙江工业大学 | Device and method for adjusting driver emotional state through different affective characteristic music |
| CN108549720A (en) * | 2018-04-24 | 2018-09-18 | 京东方科技集团股份有限公司 | It is a kind of that method, apparatus and equipment, storage medium are pacified based on Emotion identification |
| CN113780062A (en) * | 2021-07-26 | 2021-12-10 | 岚图汽车科技有限公司 | Vehicle-mounted intelligent interaction method based on emotion recognition, storage medium and chip |
-
2010
- 2010-11-12 CN CN2010206082553U patent/CN201838333U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104548309A (en) * | 2015-01-05 | 2015-04-29 | 浙江工业大学 | Device and method for adjusting driver emotional state through different affective characteristic music |
| CN108549720A (en) * | 2018-04-24 | 2018-09-18 | 京东方科技集团股份有限公司 | It is a kind of that method, apparatus and equipment, storage medium are pacified based on Emotion identification |
| WO2019205642A1 (en) * | 2018-04-24 | 2019-10-31 | 京东方科技集团股份有限公司 | Emotion recognition-based soothing method, apparatus and system, computer device, and computer-readable storage medium |
| US11498573B2 (en) | 2018-04-24 | 2022-11-15 | Beijing Boe Technology Development Co., Ltd. | Pacification method, apparatus, and system based on emotion recognition, computer device and computer readable storage medium |
| CN113780062A (en) * | 2021-07-26 | 2021-12-10 | 岚图汽车科技有限公司 | Vehicle-mounted intelligent interaction method based on emotion recognition, storage medium and chip |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110766912B (en) | Driving early warning method, device and computer readable storage medium | |
| US10424180B2 (en) | Body fall smart control system and method therefor | |
| CN104183091B (en) | System for adjusting sensitivity of fatigue driving early warning system in self-adaptive mode | |
| CN101211484A (en) | Method and device for preventing peep of cipher when withdrawing at ATM | |
| US20170241797A1 (en) | Pedometer with Accelerometer and Foot Motion Distinguishing Method | |
| WO2015192618A1 (en) | Driving monitoring method and device and computer storage medium | |
| JP2003346149A (en) | Face collating device and bioinformation collating device | |
| CN110103816B (en) | Driving state detection method | |
| CN101211483A (en) | Unattended bank safe precaution method | |
| WO2013157466A1 (en) | Smoking detection device, method and program | |
| CN201838333U (en) | Music player based on state of driver | |
| CN208126407U (en) | Anti-fatigue-driving system based on software-hardware synergism image procossing | |
| Charniya et al. | Drunk driving and drowsiness detection | |
| CN111845631A (en) | Vehicle starting method, device, equipment and storage medium | |
| CN106361308A (en) | Method and system for detecting abnormal state | |
| WO2021219012A1 (en) | Method and apparatus for preventing drunk driving, device, computer program, and medium | |
| CN110264670A (en) | Based on passenger stock tired driver driving condition analytical equipment | |
| CN107403541A (en) | The system of real-time eye recognition monitoring fatigue driving | |
| CN107506698A (en) | The method of public transportation vehicle anti-fatigue-driving management based on Internet of Things | |
| CN111145497A (en) | Portable driver fatigue detection equipment | |
| CN106781285A (en) | The alarming method for power and system of fatigue driving | |
| CN101667323A (en) | Real-time monitoring and alarming system for distraction of driver | |
| CN111563456A (en) | Driving behavior early warning method and system | |
| CN206336200U (en) | A kind of video enabling anti-collision prewarning apparatus | |
| CN110155068A (en) | Driving early warning system based on strength identification |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110518 Termination date: 20141112 |
|
| EXPY | Termination of patent right or utility model |