CN108501956A - A kind of intelligent braking method based on Emotion identification - Google Patents
A kind of intelligent braking method based on Emotion identification Download PDFInfo
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- CN108501956A CN108501956A CN201810205186.2A CN201810205186A CN108501956A CN 108501956 A CN108501956 A CN 108501956A CN 201810205186 A CN201810205186 A CN 201810205186A CN 108501956 A CN108501956 A CN 108501956A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K31/00—Vehicle fittings, acting on a single sub-unit only, for automatically controlling vehicle speed, i.e. preventing speed from exceeding an arbitrarily established velocity or maintaining speed at a particular velocity, as selected by the vehicle operator
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/169—Holistic features and representations, i.e. based on the facial image taken as a whole
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
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Abstract
The present invention provides a kind of intelligent braking methods based on Emotion identification, include the following steps：S1, the camera by being preset at driver's seat, the face image of captured in real-time driver；S2, the face image of driver is uploaded to Cloud Server；S3, Cloud Server are taken LBP algorithms to identify and calculated by face recognition module unfolds value B and the distortion value C of face between the sizes values A of pupil, eyebrow；Unfold value B and the distortion value C of face between S4, the sizes values A of pupil for recording driver, eyebrow；S5, mood calculate average value D, by unfolding value B, tri- values additions of distortion value C of face divided by the mood average value D of 3 calculating current driver's between the sizes values A of pupil, eyebrow.The beneficial effects of the invention are as follows：It can be to avoid driver due to driving safety problem caused by mood.
Description
Technical field
The present invention relates to intelligent braking method more particularly to a kind of intelligent braking methods based on Emotion identification.
Background technology
Since more and more people possess the private car of oneself, in driving procedure, the mood of driver is for driving
The security implication sailed is very big, and therefore, how to avoid driver due to driving safety problem caused by mood is art technology
Personnel's technical problem urgently to be resolved hurrily.
Invention content
In order to solve the problems in the prior art, the present invention provides a kind of intelligent braking methods based on Emotion identification.
The present invention provides a kind of intelligent braking methods based on Emotion identification, include the following steps：
S1, the camera by being preset at driver's seat, the face image of captured in real-time driver；
S2, the face image of driver is uploaded to Cloud Server；
S3, Cloud Server are taken LBP algorithms to identify and are calculated between the sizes values A of pupil, eyebrow by face recognition module
Unfold value B and the distortion value C of face；
Unfold value B and the distortion value C of face between S4, the sizes values A of pupil for recording driver, eyebrow；
S5, mood calculate average value D, by between the sizes values A of pupil, eyebrow unfold value B, face tri- values of distortion value C
The mood average value D of addition divided by 3 calculating current driver's；
S6, judge whether the mood average value D of current driver's is unfavorable for driving safety, if being unfavorable for driving safety, lead to
It crosses speed adjuster and speed is arranged to standard vehicle speed value.
As a further improvement on the present invention, step S6, which is included in, preset in the database of Cloud Server a variety of is unfavorable for driving
Safe standard mood value range is sailed, and judges that the mood average value D of current driver's belongs to any and is unfavorable for driving safety
Standard mood value range, if the mood average value D of current driver's is unfavorable for the standard mood of driving safety in a certain kind
In value range, then corresponding standard vehicle speed value is obtained, and be pushed to automobile speed data reception module, automobile speed data connect
After receipts module receives standard vehicle speed value, starts speed adjuster, speed is arranged to corresponding standard vehicle speed value；If worked as
The mood average value D of preceding driver then continues according to current vehicle speed not in the standard mood value range for being unfavorable for driving safety
Traveling.
As a further improvement on the present invention, a variety of standard mood value ranges for being unfavorable for driving safety include the mark of indignation
Thread of agreeing to do a favour value, frightened standard mood value, the standard mood value of detest, sad standard mood value, pleasantly surprised standard mood value,
The standard mood value of indignation is correspondingly arranged angry standard vehicle speed value, and frightened standard mood value is correspondingly arranged frightened standard speed
Value, the standard mood value of detest are correspondingly arranged detest standard vehicle speed value, and sad standard mood value is correspondingly arranged sad standard vehicle
Speed value, pleasantly surprised standard mood value are correspondingly arranged pleasantly surprised standard vehicle speed value.
As a further improvement on the present invention, angry standard mood value is 0-20, and frightened standard mood value is 20-
40, the standard mood value of detest is 40-60, and sad standard mood value is 60-80, and pleasantly surprised standard mood value is 80-100.
The beneficial effects of the invention are as follows：Through the above scheme, flat come the mood for calculating current driver's by image recognition
Mean value D, and judge whether the mood average value D of current driver's is unfavorable for driving safety, if being unfavorable for driving safety, lead to
Crossing speed adjuster, that speed is arranged to standard vehicle speed value is same, is conducive to safe driving, can be made due to mood to avoid driver
At driving safety problem.
Description of the drawings
Fig. 1 is a kind of flow chart of the intelligent braking method based on Emotion identification of the present invention.
Specific implementation mode
The invention will be further described for explanation and specific implementation mode below in conjunction with the accompanying drawings.
As shown in Figure 1, a kind of intelligent braking method based on Emotion identification, includes the following steps：
S1, the camera by being preset at driver's seat, the face image of captured in real-time driver；
S2, the face image of driver is uploaded to Cloud Server；
S3, Cloud Server take LBP algorithms by face recognition module（Linear back projection algorithm）It identifies and calculates pupil
Unfold value B and the distortion value C of face between sizes values A, eyebrow；
Unfold value B and the distortion value C of face between S4, the sizes values A of pupil for recording driver, eyebrow；
S5, mood calculate average value D, by between the sizes values A of pupil, eyebrow unfold value B, face tri- values of distortion value C
The mood average value D of addition divided by 3 calculating current driver's；
S6, judge whether the mood average value D of current driver's is unfavorable for driving safety, if being unfavorable for driving safety, lead to
It crosses speed adjuster and speed is arranged to standard vehicle speed value.
Step S6 is included in preset a variety of standard mood value ranges for being unfavorable for driving safety in the database of Cloud Server,
And judge that the mood average value D of current driver's belongs to any standard mood value range for being unfavorable for driving safety, if worked as
The mood average value D of preceding driver is unfavorable in a certain kind in the standard mood value range of driving safety, then obtains corresponding
Standard vehicle speed value, and it is pushed to automobile speed data reception module, automobile speed data reception module receives standard vehicle speed value
Afterwards, start speed adjuster, speed is arranged to corresponding standard vehicle speed value；If the mood average value D of current driver's
Not in the standard mood value range for being unfavorable for driving safety, then continue to travel according to current vehicle speed.
A variety of standard mood value ranges for being unfavorable for driving safety include the standard mood value of indignation, frightened standard mood
Value, the standard mood value of detest, sad standard mood value, pleasantly surprised standard mood value, angry standard mood value correspondence are set
Angry standard vehicle speed value is set, frightened standard mood value is correspondingly arranged frightened standard vehicle speed value, and the standard mood value of detest corresponds to
Detest standard vehicle speed value is set, and sad standard mood value is correspondingly arranged sad standard vehicle speed value, pleasantly surprised standard mood value pair
Pleasantly surprised standard vehicle speed value should be set.
The standard mood value of indignation is 0-20, and frightened standard mood value is 20-40, and the standard mood value of detest is 40-
60, sad standard mood value is 60-80, and pleasantly surprised standard mood value is 80-100.
A kind of intelligent braking method based on Emotion identification provided by the invention, by being preset at the camera of driver's seat,
The face image of captured in real-time driver is simultaneously uploaded to Cloud Server, and Cloud Server uses LBP algorithms by face recognition module
It identifies the sizes values of pupil in picture, unfolds value, the distortion value of face between eyebrow, then the addition of these three mood values is obtained
An average value is taken, (indignation, fear, detests by this average value and five kinds of moods being preset in cloud server database
It is dislike, sad, pleasantly surprised) standard mood value be compared（The corresponding mood value of indignation is 0-20, and fear is 20-40, is detested for 40-
60, sadness is 60-80, and pleasantly surprised is 80-100）Judge which mood range is current emotional value belong to, if in this 5 kinds of mood values
In range, the corresponding standard vehicle speed value of each mood is just obtained, and be pushed to automobile speed data reception module, automobile speed data
After receiving module receives standard vehicle speed value, starts speed adjuster, speed is arranged to this standard vehicle speed value；If not at this
Within the scope of 5 kinds of moods, just continue to travel according to current vehicle speed；It is adjusted to reach by identifying current driver's mood
To the purpose of best speed, the driving safety of driver is protected.
A kind of intelligent braking method based on Emotion identification provided by the invention, identifies mood by image recognition and controls
System drives speed, to achieve the purpose that adjust speed by identifying current driver's mood, protects driving for driver
Sail safety.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
The specific implementation of the present invention is confined to these explanations.For those of ordinary skill in the art to which the present invention belongs, exist
Under the premise of not departing from present inventive concept, a number of simple deductions or replacements can also be made, all shall be regarded as belonging to the present invention's
Protection domain.
Claims (4)
1. a kind of intelligent braking method based on Emotion identification, which is characterized in that include the following steps：
S1, the camera by being preset at driver's seat, the face image of captured in real-time driver；
S2, the face image of driver is uploaded to Cloud Server；
S3, Cloud Server are taken LBP algorithms to identify and are calculated between the sizes values A of pupil, eyebrow by face recognition module
Unfold value B and the distortion value C of face；
Unfold value B and the distortion value C of face between S4, the sizes values A of pupil for recording driver, eyebrow；
S5, mood calculate average value D, by between the sizes values A of pupil, eyebrow unfold value B, face tri- values of distortion value C
The mood average value D of addition divided by 3 calculating current driver's；
S6, judge whether the mood average value D of current driver's is unfavorable for driving safety, if being unfavorable for driving safety, lead to
It crosses speed adjuster and speed is arranged to standard vehicle speed value.
2. the intelligent braking method according to claim 1 based on Emotion identification, it is characterised in that：Step S6 is included in cloud
Preset a variety of standard mood value ranges for being unfavorable for driving safety in the database of server, and judge the mood of current driver's
Average value D belongs to any standard mood value range for being unfavorable for driving safety, if the mood average value D of current driver's exists
A certain kind is unfavorable in the standard mood value range of driving safety, then obtains corresponding standard vehicle speed value, and be pushed to automobile
Vehicle speed data receiving module after automobile speed data reception module receives standard vehicle speed value, starts speed adjuster, by speed
It is arranged to corresponding standard vehicle speed value；If the mood average value D of current driver's is not in the standard for being unfavorable for driving safety
In mood value range, then continue to travel according to current vehicle speed.
3. the intelligent braking method according to claim 2 based on Emotion identification, it is characterised in that：It is a variety of to be unfavorable for driving
The standard mood value range of safety includes the standard mood value of indignation, frightened standard mood value, the standard mood value of detest, compassion
The standard mood value of wound, pleasantly surprised standard mood value, angry standard mood value is correspondingly arranged angry standard vehicle speed value, frightened
Standard mood value is correspondingly arranged frightened standard vehicle speed value, and the standard mood value of detest is correspondingly arranged detest standard vehicle speed value, sad
Standard mood value be correspondingly arranged sad standard vehicle speed value, pleasantly surprised standard mood value is correspondingly arranged pleasantly surprised standard vehicle speed value.
4. the intelligent braking method according to claim 3 based on Emotion identification, it is characterised in that：The standard mood of indignation
Value is 0-20, and frightened standard mood value is 20-40, and the standard mood value of detest is 40-60, and sad standard mood value is
60-80, pleasantly surprised standard mood value are 80-100.
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| CN201810205186.2A CN108501956A (en) | 2018-03-13 | 2018-03-13 | A kind of intelligent braking method based on Emotion identification |
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| CN201810205186.2A CN108501956A (en) | 2018-03-13 | 2018-03-13 | A kind of intelligent braking method based on Emotion identification |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109766762A (en) * | 2018-12-15 | 2019-05-17 | 深圳壹账通智能科技有限公司 | Intelligent emergent processing method, device, computer equipment and storage medium |
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