CN105292124A - Driving monitoring method and driving monitoring device - Google Patents
Driving monitoring method and driving monitoring device Download PDFInfo
- Publication number
- CN105292124A CN105292124A CN201410276252.7A CN201410276252A CN105292124A CN 105292124 A CN105292124 A CN 105292124A CN 201410276252 A CN201410276252 A CN 201410276252A CN 105292124 A CN105292124 A CN 105292124A
- Authority
- CN
- China
- Prior art keywords
- information
- acceleration
- value
- aggregate
- sound
- 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.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
-
- 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
-
- 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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Automation & Control Theory (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Child & Adolescent Psychology (AREA)
- Heart & Thoracic Surgery (AREA)
- Educational Technology (AREA)
- Hospice & Palliative Care (AREA)
- Psychiatry (AREA)
- Psychology (AREA)
- Social Psychology (AREA)
- Mathematical Physics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Developmental Disabilities (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Human Computer Interaction (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a driving monitoring method and a driving monitoring device. The method comprises the steps that real-time information during driving of a user is monitored; and the monitored real-time information is compared with stored driving reference information, and whether a prompt is sent out or not is determined according to a comparison result. Accordingly, the invention further discloses a driving monitoring device which comprises a monitoring module and an information processing module.
Description
Technical field
The present invention relates to field of terminal, particularly relate to a kind of monitoring method and device of safe driving.
Background technology
Along with the arrival of auto age, the contradiction between growing automobile and the road more and more blocked up constantly is aggravated, and thing followed traffic accident also emerges in an endless stream.According to the statistics of traffic department, most of traffic accident is all caused by the factor of steerman itself in fact, and ten accidents nine times are fast.The mood of steerman agitation is the major cause causing overspeed of vehicle, and this dangerous driving can cause unnecessary traffic accident to a great extent.
Although there is now the method being used for mobile terminal to alleviate user emotion, and the method that some vehicle security drives are monitored, these methods have larger limitation in monitor hazardous driving.Utilize mobile terminal to alleviate mood, need user to wear perception receptor, all allow many people hang back to the configuration of receptor and body-worn; Above-mentioned safe driving monitoring is also just started with from expression, have ignored this key factor of sound, cannot more fully monitor current driving situation; And above-mentioned two kinds of methods, lack the gatherer process of correlation data, not accurate enough to the emotion judgment of steerman.
Summary of the invention
For solving existing Problems existing, the present invention mainly provides a kind of and drives monitoring method and device, the mood of monitoring steerman that can be real-time and vehicle condition, when anticipation is dangerous, steerman is reminded, to releive the mood of steerman, eliminate danger driving behavior, avoids unnecessary traffic accident to a great extent.
Technical scheme of the present invention is achieved in that
The invention provides a kind of driving monitoring method, the method comprises:
Real time information when monitor user ' is driven; The steered reference information of the real time information monitored and storage is contrasted, determines whether to send prompting according to comparing result.
In such scheme, before the real time information when monitor user ' is driven, the method also comprises: under mode of learning, gather steered reference information, and store;
Described steered reference information comprises: irritated or angry facial expression image and/or irritated or angry sound and/or threshold speed information.
In such scheme, describedly gather irritated or angry facial expression image and/or irritated or angry sound, and storage comprises: the agitation that there will be in the driving utilizing camera seizure subscriber's meter to reveal or the facial expression image of indignation, by described facial expression image digitalisation, the first digital image information obtained is stored; And/or the sound of the agitation that there will be in the driving utilizing microphone recording subscriber's meter to reveal or indignation, by described digitized sound, the first digital sound information obtained is stored.
In such scheme, real time information when described monitor user ' is driven comprises: camera is according to the expression of preset frequency acquisition steerman, and/or microphone is according to the sound of preset frequency collection steerman, and/or detect the current acceleration information of vehicle by acceleration pick-up, the facial expression image collected described in record and/or acoustic information and/or acceleration information; Wherein, described acceleration information comprises the instantaneous value a of horizontal acceleration
hiwith the instantaneous value a of normal acceleration
vi.
In such scheme, described the steered reference information of storage to be contrasted with the real time information that monitors, determine whether that sending prompting comprises according to comparing result: digitized processing is carried out to the facial expression image monitored of record, obtains the second digital image information; First digital image information of described second digital image information and storage is carried out similarity-rough set, when similarity is greater than expression similar threshold value, sends safe driving prompting.
In such scheme, described the steered reference information of storage to be contrasted with the real time information that monitors, determine whether that sending prompting comprises according to comparing result: digitized processing is carried out to the acoustic information monitored of record, obtain the second digital sound information, first digital sound information of the second digital sound information and storage is carried out similarity-rough set, when similarity is greater than assonance threshold value, send safe driving prompting.
In such scheme, described the steered reference information of storage to be contrasted with the real time information that monitors, send prompting according to comparing result to comprise: the acceleration information comparing threshold speed information Yu detect, when the acceleration information detected is greater than described threshold speed information, send safe driving prompting.
In such scheme, described threshold speed information comprises: horizontal acceleration instantaneous value threshold value a
hm, normal acceleration instantaneous value threshold value a
vm, horizontal acceleration aggregate-value threshold value a
hawith normal acceleration aggregate-value threshold value a
va;
The described acceleration information comparing threshold speed information and detect, when the acceleration information detected is greater than described threshold speed information, sends safe driving prompting, comprising:
More described horizontal acceleration instantaneous value threshold value a
hmwith the instantaneous value a of the horizontal acceleration monitored
hi, as the instantaneous value a of horizontal acceleration
hitime large, send safe driving prompting;
More described horizontal acceleration aggregate-value a
hwith horizontal acceleration aggregate-value threshold value a
ha, as horizontal acceleration aggregate-value a
htime large, send safe driving prompting;
More described normal acceleration instantaneous value threshold value a
vmwith the instantaneous value a of the described normal acceleration monitored
vi, as the instantaneous value a of normal acceleration
vitime large, send safe driving prompting;
Relatively normal acceleration aggregate-value a
vwith the normal acceleration aggregate-value threshold value a stored
va, as normal acceleration aggregate-value a
vtime large, send safe driving prompting;
Wherein, described horizontal acceleration aggregate-value a
hfor the instantaneous value a of horizontal acceleration in fixed time interval
hiand:
described normal acceleration aggregate-value a
vfor the instantaneous value a of normal acceleration in fixed time interval
viand:
In such scheme, the method also comprises: pay a return visit user, provides user to evaluate interface, to revise or reminding user is selected to reenter mode of learning according to the evaluation result of user to threshold information, gathers steered reference information, and stores; Wherein,
Described threshold information comprises: expression similar threshold value, assonance threshold value, threshold speed information.
The present invention also provides a kind of and drives monitoring device, and this device comprises: monitoring modular and message processing module; Wherein,
Monitoring modular, real time information when driving for monitor user ';
Message processing module, for the steered reference information of the real time information monitored and storage being contrasted, determines whether to send prompting according to comparing result.
Said apparatus also comprises: information acquisition module and memory module; Wherein,
Information acquisition module, before the real time information when monitor user ' is driven, gathers steered reference information under mode of learning;
Memory module, for the steered reference information collected described in storing;
Described steered reference information comprises: irritated or angry facial expression image and/or irritated or angry sound and/or threshold speed information.
In such scheme, described information acquisition module comprises: image capture module and sound acquisition module; Wherein,
Image capture module, for catching the facial expression image of agitation or the indignation that there will be in driving that subscriber's meter reveals;
Sound acquisition module, for recording the sound of agitation or the indignation that there will be in driving that subscriber's meter reveals.
In such scheme, described message processing module, specifically for by described facial expression image and/or digitized sound, and is stored to memory module by the first digital image information obtained and/or the first digital sound information.
In such scheme, this device also comprises: acceleration detection module, and for detecting the current acceleration information of vehicle, wherein, described acceleration information comprises the instantaneous value a of horizontal acceleration
hiwith the instantaneous value a of normal acceleration
vi;
Described monitoring modular, specifically for the expression of the image capture module in control information acquisition module according to preset frequency acquisition steerman, and/or the sound acquisition module of control information acquisition module is according to the sound of preset frequency collection steerman, and/or control the current acceleration information of described acceleration detection module detection vehicle; Record the facial expression image and/or acoustic information and/or acceleration information that collect.
In such scheme, described message processing module, specifically for carrying out digitized processing to the facial expression image monitored recorded and/or acoustic information, obtains the second digital image information and/or the second digital sound information; First digital image information of described second digital image information and storage is carried out similarity-rough set, when similarity is greater than expression similar threshold value, sends safe driving prompting; And/or the first digital sound information of described second digital sound information and storage is carried out similarity-rough set, when similarity is greater than assonance threshold value, send safe driving prompting; And/or compare the acceleration information that threshold speed information and monitoring modular detect, when the described acceleration information detected is greater than described threshold speed information, send safe driving prompting.
In such scheme, described threshold speed information comprises: horizontal acceleration instantaneous value threshold value a
hm, normal acceleration instantaneous value threshold value a
vm, horizontal acceleration aggregate-value threshold value a
hawith normal acceleration aggregate-value threshold value a
va;
The described acceleration information comparing threshold speed information and monitoring modular and detect, when the described acceleration information detected is greater than described threshold speed information, sends safe driving prompting, comprising:
More described horizontal acceleration instantaneous value threshold value a
hmthe instantaneous value a of the horizontal acceleration detected with monitoring modular
hisize, as the instantaneous value a of horizontal acceleration
hitime large, send safe driving prompting;
Comparison level acceleration/accel aggregate-value a
hwith the horizontal acceleration aggregate-value threshold value a stored
ha, as horizontal acceleration aggregate-value a
htime large, send safe driving prompting;
More described normal acceleration instantaneous value threshold value a
vmwith the instantaneous value a of normal acceleration
vi, as the instantaneous value a of normal acceleration
vitime large, send safe driving prompting;
Relatively normal acceleration aggregate-value a
vwith the normal acceleration aggregate-value threshold value a stored
va, as normal acceleration aggregate-value a
vtime large, send safe driving prompting;
Wherein, described horizontal acceleration aggregate-value a
hfor the instantaneous value a of horizontal acceleration in fixed time interval
hiand:
described normal acceleration aggregate-value a
vfor the instantaneous value a of normal acceleration in fixed time interval
viand:
In such scheme, described device also comprises: monitoring correcting module and control module; Wherein,
Monitoring correcting module, for after monitoring terminates, evaluates interface for user provides, and to revise or reminding user is selected to reenter mode of learning according to the evaluation result of user to the threshold information stored in memory module, gathers steered reference information, and stores;
Described threshold information comprises: expression similar threshold value, assonance threshold value, threshold speed information;
Control module, for controlling, managing the execution flow process of modules in described monitoring device.
One provided by the invention drives monitoring method and device, real time information when monitor user ' is driven; The steered reference information of the real time information monitored and storage is contrasted, determines whether to send prompting according to comparing result; So, the mood of steerman can be assessed and judge more accurately by steered reference information, the velocity information of all right monitor vehicle, judge whether to belong to dangerous driving according to the mood of steerman and car speed, remind steerman to note timely when anticipation is dangerous, releive the mood of steerman, eliminate danger driving behavior, thus improve the safety of vehicle drive.
Accompanying drawing explanation
The schematic flow sheet of the safe driving monitoring method that Fig. 1 provides for the embodiment of the present invention;
The concrete execution steps flow chart of the step 101 that Fig. 2 provides for the embodiment of the present invention;
The concrete execution steps flow chart of the step 102 that Fig. 3 provides for the embodiment of the present invention;
The idiographic flow schematic diagram of the acquisition and processing facial expression image that Fig. 4 provides for the embodiment of the present invention;
The idiographic flow schematic diagram of the acquisition and processing sound that Fig. 5 provides for the embodiment of the present invention;
The idiographic flow schematic diagram of the acquisition and processing acceleration information that Fig. 6 provides for the embodiment of the present invention;
The structural representation of the safe driving monitoring device that Fig. 7 provides for the embodiment of the present invention;
The structural representation of the information acquisition module that Fig. 8 provides for the embodiment of the present invention.
Detailed description of the invention
In the embodiment of the present invention, drive real time information when monitoring device monitor user ' is driven; The steered reference information of the real time information monitored and storage is contrasted, determines whether to send prompting according to comparing result.
Below by drawings and the specific embodiments, the present invention is described in further detail.
Figure 1 shows that the diagram of circuit of the safe driving monitoring method that the embodiment of the present invention provides, the method comprises the following steps:
Step 100: enter mode of learning, gathers steered reference information, and stores; Wherein, steered reference information comprises: irritated or angry facial expression image and/or irritated or angry sound and/or threshold speed information;
Concrete, as shown in Figure 2, this step comprises with several step:
Step 100a: equipment enters mode of learning;
Step 100b: open front-facing camera, prompting user learning pattern is opened, the agitation that may occur in asking user's typing to be driven or the expression information of indignation; The agitation that there will be in the driving that camera seizure user's face shows or the expression generation facial expression image of indignation;
Can also described facial expression image be presented on screen; Wait for that user is confirmed whether to store;
Step 100c: user makes a choice according to the Save option on screen, when selecting to be, stores current facial expression image; When selecting no, abandon current expression; The multiple expression of typing can be needed according to user; After expression typing terminates, carry out step 100d;
Step 100d: open microphone, the speech of the agitation that prompting user typing there will be in driving or indignation, utilizes microphone to record the sound of agitation or the indignation that there will be in user's driving;
Described sound can also be adopted the mode simulative display such as frequency spectrum out, wait for that user is confirmed whether to store;
Step 100e: when user selects to preserve recording, store current sound; When selecting not preserve, abandon current sound; Can need to record multiple sound according to user;
The step of above-mentioned expression typing and sound typing there is no sequencing, only can gather that wherein one or both all gather, and herein in order to be described clearly, therefore describes step by step;
Step 100f: carry out digital assay process to the facial expression image collected and/or sound, obtains the first digital image information and/or the first digital sound information; And store in a database after described first digital image information and/or the first digital sound information are encoded; Wherein,
When digitized processing is carried out to facial expression image, can the important information in each facial expression image be extracted, as: the features such as eyebrow, eyes, face;
When digitized processing is carried out to sound, also can carry out analyzing and processing to the key factor in sound, as: tone, pitch etc.
Step 101: real time information when monitor user ' is driven;
Concrete, as shown in Figure 3, this step comprises following concrete execution step:
Step 101a: in driving procedure, equipment catches the expression of steerman and/or sound according to preset frequency;
Concrete, camera according to the expression of preset frequency acquisition steerman, as 20 beats/min, microphone according to the sound of preset frequency collection steerman, as 20 beats/min; Wherein,
This step comprises further: detect vehicle current acceleration information by acceleration pick-up, described acceleration information comprises: the instantaneous value a of horizontal acceleration
hiwith the instantaneous value a of normal acceleration
videtect;
The described facial expression image that collects and/or acoustic information and/or acceleration information are recorded;
Here, the acceleration information recorded is the absolute value information not with direction.
Step 101b: the facial expression image collected in step 101a and/or acoustic information and/or acceleration information are recorded.
Step 102: the steered reference information of the real time information monitored and storage is contrasted, determines whether to send prompting according to comparing result;
Concrete, described contrast comprises: expression contrast and/or acoustic contrast and/or velocity contrast;
First, digitized processing is carried out to the real-time facial expression image monitored of above-mentioned record and/or acoustic information, obtains the second digital image information and/or the second digital sound information; Wherein, be preferably consistent in the detailed process of described digitized processing and step 100f, so just can obtain emotion judgment result more accurately;
Secondly, the first digital image information of described second digital image information and storage is carried out similarity-rough set, when similarity is greater than expression similar threshold value S
ftime, represent that steerman current emotional is in agitation, angry state, send safe driving prompting;
First digital sound information of described second digital sound information and storage is carried out similarity-rough set, when similarity is greater than assonance threshold value S
vtime, represent that steerman current emotional is in agitation, angry state, send safe driving prompting;
Wherein, described expression similar threshold value S
fand/or assonance threshold value S
vthe mood that to be designer draw according to mood analysis is normal with irritated, angry critical value, prestores in a device;
When expression similarity is greater than the similar threshold values S of expression
ftime and/or assonance degree be greater than assonance threshold values
s v, can think that driver's current emotional is more irritated or angry, the safety prompt function that equipment sends can be sound and/or image; Such as, driver's " monitor you now unhappy, this may affect your safe driving, please carefully goes slowly, and takes care " can be reminded; Device screen now also can be drawn out the pattern of driver's mood of can releiving, such as a smiling face; Simultaneously equipment can be releived the mood of driver by playing some light musics;
Described velocity contrast is: the acceleration information comparing threshold speed information Yu detect, when the acceleration information detected is greater than described threshold speed information, represents that current driving is in poor shape, sends safe driving prompting;
Wherein, described threshold speed information comprises: horizontal acceleration instantaneous value threshold value a
hm, normal acceleration instantaneous value threshold value a
vm, horizontal acceleration aggregate-value threshold value a
hawith normal acceleration aggregate-value threshold value; These threshold values above-mentioned are arranged according to the safe driving speed of a motor vehicle, prestore in a device;
Concrete, the described acceleration information comparing threshold speed information and detect, when the acceleration information detected is greater than described threshold speed information, sends safe driving prompting, comprising:
More described horizontal acceleration instantaneous value threshold value a
hmthe instantaneous value a of the horizontal acceleration detected with monitoring modular
hisize, as the instantaneous value a of horizontal acceleration
hitime large, represent that current vehicle speed is too fast, send safe driving prompting;
More described horizontal acceleration aggregate-value a
hwith the horizontal acceleration aggregate-value threshold value a stored
ha, as horizontal acceleration aggregate-value a
htime large, represent that current vehicle speed is too fast, send safe driving prompting;
More described normal acceleration instantaneous value threshold value a
vmwith the instantaneous value a of the described normal acceleration monitored
vi, as the instantaneous value a of normal acceleration
vitime large, send safe driving prompting;
Relatively normal acceleration aggregate-value a
vwith the normal acceleration aggregate-value threshold value a stored
vacompare, as normal acceleration aggregate-value a
vtime large, send safe driving prompting;
Wherein, described horizontal acceleration aggregate-value a
hfor the instantaneous value a of horizontal acceleration in fixed time interval
hiand:
described normal acceleration aggregate-value a
vfor the instantaneous value a of normal acceleration in fixed time interval
viand:
Wherein, above-mentioned fixed time interval is arranged in advance by designer or user, can be any time;
As horizontal acceleration aggregate-value a
hbe greater than horizontal acceleration and add up threshold values a
haand/or normal acceleration aggregate-value a
vbe greater than normal acceleration and add up threshold values a
vatime, can think that too drastic driving behavior has appearred in vehicle within a period of time, equipment can remind driver to note by sound and graphicinformation; Such as, steerman can be reminded " to monitor the current travel conditions of vehicle too fierce, whether because you have encountered trouble.Would you please carefully go slowly, take care "; Device screen now also can be drawn out the pattern of driver's mood of can releiving, such as a smiling face.Simultaneously equipment can be releived the mood of driver by playing some light musics.
The monitoring method of above-mentioned safe driving also comprises:
Step 103: pay a return visit user, provides user to evaluate interface, to revise or reminding user is selected to reenter mode of learning according to the evaluation result of user to the threshold information stored, and gathers steered reference information, and stores;
Described threshold information comprises: expression similar threshold value, assonance threshold value, threshold speed information.
Concrete, by the mode of screen display and sound prompting, allow user to the accuracy of this safe driving prompting, promptness is given a mark; Such as mark can be divided into 1 ~ 10 point, equipment is revised the every threshold values preset by the scoring of user; When mark is too low, such as, lower than less than 5 points, then whether reminding user restarts learning process.
The flow process of above-mentioned steps 102 and step 103 specifically can be represented by the diagram of circuit shown in Fig. 4 to Fig. 6;
Figure 4 shows that the flow process of concrete acquisition and processing facial expression image;
According to the expression of preset frequency collection steerman, digitized of going forward side by side process obtains the second digital image information, carries out similarity-rough set with the first digital image information stored in mode of learning, judges whether similarity is greater than the expression similar threshold value S arranged in advance
f, when being greater than, remind steerman to take care; When being not more than, re-start the acquisition and processing of expression.
Figure 5 shows that the flow process of concrete acquisition and processing sound;
According to the sound of preset frequency collection steerman, digitized of going forward side by side process obtains the second digital sound information, carries out similarity-rough set with the first digital sound information stored in mode of learning, judges whether similarity is greater than the assonance threshold value S arranged in advance
v, when being greater than, remind steerman to take care; When being not more than, re-start the acquisition and processing of sound.
Figure 6 shows that the flow process of concrete acquisition and processing acceleration information;
According to the instantaneous value a of the horizontal acceleration of preset frequency detecting vehicle
hi; The process of horizontal acceleration comprises two contents: 1) the instantaneous value a of determined level acceleration/accel
hiwith horizontal acceleration instantaneous value threshold value a
hmsize, work as a
hibe greater than a
hmtime, remind steerman to take care, work as a
hibe not more than a
hmtime, continue the instantaneous value a of detection level acceleration/accel
hi; 2) horizontal acceleration aggregate-value a is determined
h, and judge described horizontal acceleration aggregate-value a
hwith horizontal acceleration aggregate-value threshold value a
hasize, work as a
hbe greater than a
hatime, remind steerman to take care, work as a
hbe not more than a
hatime, continue to determine horizontal acceleration aggregate-value a
h;
According to the instantaneous value a of the normal acceleration of preset frequency detecting vehicle
vi; The process of normal acceleration comprises two contents: the instantaneous value a 1) judging normal acceleration
viwith normal acceleration instantaneous value threshold value a
vmsize, work as a
vibe greater than a
vmtime, remind steerman to take care, when working as a
vibe not more than a
vmtime, continue the instantaneous value a detecting normal acceleration
vi; 2) normal acceleration aggregate-value a is determined
v, and judge described normal acceleration aggregate-value a
vwith normal acceleration aggregate-value threshold value a
vasize, work as a
vbe greater than a
vatime, remind steerman to take care, work as a
vbe not more than a
vatime, continue to determine normal acceleration aggregate-value threshold value a
va.
Acquisition and processing flow process shown in above-mentioned Fig. 4 to Fig. 6, in the driving monitoring of reality, can select wherein one or more to carry out; After driving terminates, user is paid a return visit, given a mark by user, according to marking result, the above-mentioned various threshold informations mentioned are revised or restarted mode of learning.
As shown in Figure 7, this device comprises the driving monitoring device constructional drawing that the embodiment of the present invention provides: monitoring modular 72 and message processing module 73; Wherein,
Monitoring modular 72, real time information when driving for monitor user ';
Message processing module 73, for the steered reference information of the real time information monitored and storage being contrasted, determines whether to send prompting according to comparing result;
This device also comprises: information acquisition module 70 and memory module 71; Wherein,
Information acquisition module 70, before the real time information when monitor user ' is driven, gathers steered reference information under mode of learning;
Memory module 71, for the steered reference information collected described in storing;
Wherein, described steered reference information comprises: irritated or angry facial expression image and/or irritated or angry sound and/or threshold speed information;
As shown in Figure 8, information acquisition module 70 comprises: image capture module 80 and sound acquisition module 81; Wherein,
Image capture module 80, for catching the facial expression image of agitation or the indignation that there will be in driving that subscriber's meter reveals;
Image acquisition can be realized by camera in practical application;
Sound acquisition module 81, for recording the sound of agitation or the indignation that there will be in driving that subscriber's meter reveals;
Microphone can be had to realize image acquisition in practical application;
Described message processing module 73, specifically for by described facial expression image and/or digitized sound, and is stored to memory module 71 by the first digital image information obtained and/or the first digital sound information; Above-mentioned information can be stored by building database, with easy-to-look-up in memory module 71;
Wherein, when digitized processing is carried out to facial expression image, can the important information in each facial expression image be extracted, as: the features such as eyebrow, eyes, face;
When digitized processing is carried out to sound, also can carry out analyzing and processing to the key factor in sound, as: tone, pitch etc.;
Monitoring device described in Fig. 7 also comprises: acceleration detection module 74, and for detecting the current acceleration information of vehicle, wherein, described acceleration information is the absolute value information not with direction, comprising: the instantaneous value a of horizontal acceleration
viwith the instantaneous value a of normal acceleration
vi; This module is made up of acceleration pick-up and peripheral components;
Described monitoring modular 72, specifically for the expression of the image capture module 80 in control information acquisition module 70 according to preset frequency acquisition steerman, and/or sound acquisition module 81 in control information acquisition module 70 is according to the sound of preset frequency collection steerman, and/or controls described acceleration detection module 74 and detect the current acceleration information of vehicle; Record the facial expression image and/or acoustic information and/or acceleration information that collect; Here, the acceleration information recorded is the absolute value information not with direction.
Above-mentioned seizure expression with gather sound frequency can consistent also can be inconsistent, steerman can be arranged according to driving habit; Such as, 20 beats/min;
Described record can be that above-mentioned information is stored to memory module 71;
Described monitoring modular 72, can be realized by the chip possessing control ability in equipment, and the hardware chip that can realize this function in practical application is many, is selected by designer according to product design itself demand;
Described message processing module 73, specifically also for carrying out digitized processing to the real-time facial expression image monitored recorded and/or acoustic information, obtains the second digital image information and/or the second digital sound information; First digital image information of described second digital image information and storage is carried out similarity-rough set, when similarity is greater than expression similar threshold value S
ftime, send safe driving prompting; And/or the first digital sound information of described second digital sound information and storage is carried out similarity-rough set, when similarity is greater than assonance threshold value S
vtime, send safe driving prompting; And/or compare the acceleration information that threshold speed information and monitoring modular detect, when the described acceleration information detected is greater than described threshold speed information, send safe driving prompting;
Wherein, described expression similar threshold value S
fwith sound similar threshold value S
vthe mood that to be designer draw according to mood analysis is normal with irritated or angry critical value, prestores in a device;
Described threshold speed information is stored in memory module 71;
Described threshold speed information comprises: horizontal acceleration instantaneous value threshold value a
hm, normal acceleration instantaneous value threshold value a
vm, horizontal acceleration aggregate-value threshold value a
hawith normal acceleration aggregate-value threshold value a
va;
The described acceleration information comparing threshold speed information and monitoring modular and detect, when the described acceleration information detected is greater than described threshold speed information, sends safe driving prompting, comprising:
More described horizontal acceleration instantaneous value threshold value a
hmthe instantaneous value a of the horizontal acceleration detected with monitoring modular 72
hisize, as the instantaneous value a of horizontal acceleration
hitime large, send safe driving prompting;
More described horizontal acceleration aggregate-value a
hwith horizontal acceleration aggregate-value threshold value a
ha, as horizontal acceleration aggregate-value a
htime large, send safe driving prompting;
More described normal acceleration instantaneous value threshold value a
vmwith the instantaneous value a of the described normal acceleration monitored
vi, as the instantaneous value a of normal acceleration
vitime large, send safe driving prompting;
Compare the normal acceleration aggregate-value a that monitoring modular 72 detects
vwith normal acceleration aggregate-value threshold value a
vacompare, as normal acceleration aggregate-value a
vtime large, send safe driving prompting;
Wherein, described horizontal acceleration aggregate-value a
hfor the instantaneous value a of horizontal acceleration in fixed time interval
hiand:
described normal acceleration aggregate-value a
vfor the instantaneous value a of normal acceleration in fixed time interval
viand:
Described message processing module 73, can be realized by the chip that information processing capability in equipment is stronger, also can be realized by master chip; The internal hardware design concrete according to product selects suitable chip;
Monitoring device described in Fig. 7 also comprises: monitoring correcting module 75 and control module 76; Wherein,
Monitoring correcting module 75, for after monitoring terminates, evaluates interface for user provides, and to revise or reminding user is selected to reenter mode of learning according to the evaluation result of user to the threshold information stored in memory module, gathers steered reference information, and stores;
Described threshold information comprises: expression similar threshold value, assonance threshold value, threshold speed information;
Concrete, monitoring correcting module 75 is by the mode of screen display and sound prompting, and allow user to the accuracy of this safe driving prompting, promptness is given a mark.Such as mark can be divided into 1 ~ 10 point, equipment is revised the threshold values preset by the scoring of user.When mark is too low, such as, lower than less than 5 points, then whether reminding user restarts learning process;
Described monitoring correcting module 75, can be realized by master chip or information processing chip;
Control module 76, for controlling, managing the execution flow process of modules in described monitoring device;
Control module 76 is generally realized by the chip that control ability in equipment is the strongest, to guarantee control, the stability of management and the accuracy of sequential.
If the driving monitoring method described in the embodiment of the present invention using the form of software function module realize and as independently production marketing or use time, also can be stored in a computer read/write memory medium.Based on such understanding, those skilled in the art should understand, the embodiment of the application can be provided as method, system or computer program.Therefore, the application can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And, the application can adopt in one or more form wherein including the computer program that the computer-usable storage medium of computer usable program code is implemented, described storage medium includes but not limited to USB flash disk, portable hard drive, read-only memory (ROM) (ROM, Read-OnlyMemory), disc storage, CD-ROM, optical memory etc.
In the embodiment of the present invention, equipment enters mode of learning, gathers steered reference information, and stores; For judging that the mood of steerman makes reference afterwards, increase the accuracy judged; Real time information when monitor user ' is driven; The steered reference information of storage and the real time information monitored are contrasted, determines whether to send prompting according to comparing result; Reference in the mood data of the steerman real-time monitored and data bank is contrasted, mood can be judged more accurately, meanwhile, the travel conditions of vehicle is also added judgement and drive a vehicle and whether go in safety factor, more comprehensively monitor driving procedure whether safety.
The above, be only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention, and all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (17)
1. drive a monitoring method, it is characterized in that, the method comprises:
Real time information when monitor user ' is driven; The steered reference information of the real time information monitored and storage is contrasted, determines whether to send prompting according to comparing result.
2. method according to claim 1, is characterized in that, before the real time information when monitor user ' is driven, the method also comprises: under mode of learning, gather steered reference information, and store;
Described steered reference information comprises: irritated or angry facial expression image and/or irritated or angry sound and/or threshold speed information.
3. method according to claim 2, it is characterized in that, describedly gather irritated or angry facial expression image and/or irritated or angry sound, and storage comprises: the agitation that there will be in the driving utilizing camera seizure subscriber's meter to reveal or the facial expression image of indignation, by described facial expression image digitalisation, the first digital image information obtained is stored; And/or the sound of the agitation that there will be in the driving utilizing microphone recording subscriber's meter to reveal or indignation, by described digitized sound, the first digital sound information obtained is stored.
4. method according to claim 1, it is characterized in that, real time information when described monitor user ' is driven comprises: camera is according to the expression of preset frequency acquisition steerman, and/or microphone is according to the sound of preset frequency collection steerman, and/or detect the current acceleration information of vehicle by acceleration pick-up, the facial expression image collected described in record and/or acoustic information and/or acceleration information; Wherein, described acceleration information comprises the instantaneous value a of horizontal acceleration
hiwith the instantaneous value a of normal acceleration
vi.
5. method according to claim 4, it is characterized in that, described the steered reference information of storage to be contrasted with the real time information that monitors, determine whether that sending prompting comprises according to comparing result: digitized processing is carried out to the facial expression image monitored of record, obtains the second digital image information; First digital image information of described second digital image information and storage is carried out similarity-rough set, when similarity is greater than expression similar threshold value, sends safe driving prompting.
6. method according to claim 4, it is characterized in that, described the steered reference information of storage to be contrasted with the real time information that monitors, determine whether that sending prompting comprises according to comparing result: digitized processing is carried out to the acoustic information monitored of record, obtain the second digital sound information, first digital sound information of the second digital sound information and storage is carried out similarity-rough set, when similarity is greater than assonance threshold value, sends safe driving prompting.
7. method according to claim 4, it is characterized in that, described the steered reference information of storage to be contrasted with the real time information that monitors, send prompting according to comparing result to comprise: the acceleration information comparing threshold speed information Yu detect, when the acceleration information detected is greater than described threshold speed information, send safe driving prompting.
8. method according to claim 7, is characterized in that, described threshold speed information comprises: horizontal acceleration instantaneous value threshold value a
hm, normal acceleration instantaneous value threshold value a
vm, horizontal acceleration aggregate-value threshold value a
hawith normal acceleration aggregate-value threshold value a
va;
The described acceleration information comparing threshold speed information and detect, when the acceleration information detected is greater than described threshold speed information, sends safe driving prompting, comprising:
More described horizontal acceleration instantaneous value threshold value a
hmwith the instantaneous value a of the horizontal acceleration monitored
hi, as the instantaneous value a of horizontal acceleration
hitime large, send safe driving prompting;
More described horizontal acceleration aggregate-value a
hwith horizontal acceleration aggregate-value threshold value a
ha, as horizontal acceleration aggregate-value a
htime large, send safe driving prompting;
More described normal acceleration instantaneous value threshold value a
vmwith the instantaneous value a of the described normal acceleration monitored
vi, as the instantaneous value a of normal acceleration
vitime large, send safe driving prompting;
Relatively normal acceleration aggregate-value a
vwith the normal acceleration aggregate-value threshold value a stored
va, as normal acceleration aggregate-value a
vtime large, send safe driving prompting;
Wherein, described horizontal acceleration aggregate-value a
hfor the instantaneous value a of horizontal acceleration in fixed time interval
hiand:
described normal acceleration aggregate-value a
vfor the instantaneous value a of normal acceleration in fixed time interval
viand:
.
9. method according to claim 1, is characterized in that, the method also comprises: pay a return visit user, user is provided to evaluate interface, according to the evaluation result of user threshold information to be revised or reminding user is selected to reenter mode of learning, gather steered reference information, and store; Wherein,
Described threshold information comprises: expression similar threshold value, assonance threshold value, threshold speed information.
10. a driving monitoring device, is characterized in that, this device comprises: monitoring modular and message processing module; Wherein,
Monitoring modular, real time information when driving for monitor user ';
Message processing module, for the steered reference information of the real time information monitored and storage being contrasted, determines whether to send prompting according to comparing result.
11. devices according to claim 10, is characterized in that, this device also comprises: information acquisition module and memory module; Wherein,
Information acquisition module, before the real time information when monitor user ' is driven, gathers steered reference information under mode of learning;
Memory module, for the steered reference information collected described in storing;
Described steered reference information comprises: irritated or angry facial expression image and/or irritated or angry sound and/or threshold speed information.
12. devices according to claim 11, is characterized in that, described information acquisition module comprises: image capture module and sound acquisition module; Wherein,
Image capture module, for catching the facial expression image of agitation or the indignation that there will be in driving that subscriber's meter reveals;
Sound acquisition module, for recording the sound of agitation or the indignation that there will be in driving that subscriber's meter reveals.
13. devices according to claim 12, is characterized in that, described message processing module, specifically for by described facial expression image and/or digitized sound, and the first digital image information obtained and/or the first digital sound information are stored to memory module.
14. devices according to claim 13, is characterized in that, this device also comprises: acceleration detection module, and for detecting the current acceleration information of vehicle, wherein, described acceleration information comprises the instantaneous value a of horizontal acceleration
hiwith the instantaneous value a of normal acceleration
vi;
Described monitoring modular, specifically for the expression of the image capture module in control information acquisition module according to preset frequency acquisition steerman, and/or the sound acquisition module of control information acquisition module is according to the sound of preset frequency collection steerman, and/or control the current acceleration information of described acceleration detection module detection vehicle; Record the facial expression image and/or acoustic information and/or acceleration information that collect.
15. devices according to claim 14, is characterized in that, described message processing module, specifically for carrying out digitized processing to the facial expression image monitored recorded and/or acoustic information, obtain the second digital image information and/or the second digital sound information; First digital image information of described second digital image information and storage is carried out similarity-rough set, when similarity is greater than expression similar threshold value, sends safe driving prompting; And/or the first digital sound information of described second digital sound information and storage is carried out similarity-rough set, when similarity is greater than assonance threshold value, send safe driving prompting; And/or compare the acceleration information that threshold speed information and monitoring modular detect, when the described acceleration information detected is greater than described threshold speed information, send safe driving prompting.
16. devices according to claim 15, is characterized in that, described threshold speed information comprises: horizontal acceleration instantaneous value threshold value a
hm, normal acceleration instantaneous value threshold value a
vm, horizontal acceleration aggregate-value threshold value a
hawith normal acceleration aggregate-value threshold value a
va;
The described acceleration information comparing threshold speed information and monitoring modular and detect, when the described acceleration information detected is greater than described threshold speed information, sends safe driving prompting, comprising:
More described horizontal acceleration instantaneous value threshold value a
hmthe instantaneous value a of the horizontal acceleration detected with monitoring modular
hisize, as the instantaneous value a of horizontal acceleration
hitime large, send safe driving prompting;
Comparison level acceleration/accel aggregate-value a
hwith the horizontal acceleration aggregate-value threshold value a stored
ha, as horizontal acceleration aggregate-value a
htime large, send safe driving prompting;
More described normal acceleration instantaneous value threshold value a
vmwith the instantaneous value a of normal acceleration
vi, as the instantaneous value a of normal acceleration
vitime large, send safe driving prompting;
Relatively normal acceleration aggregate-value a
vwith the normal acceleration aggregate-value threshold value a stored
va, as normal acceleration aggregate-value a
vtime large, send safe driving prompting;
Wherein, described horizontal acceleration aggregate-value a
hfor the instantaneous value a of horizontal acceleration in fixed time interval
hiand:
described normal acceleration aggregate-value a
vfor the instantaneous value a of normal acceleration in fixed time interval
viand:
.
17. devices according to claim 10, is characterized in that, described device also comprises: monitoring correcting module and control module; Wherein,
Monitoring correcting module, for after monitoring terminates, evaluates interface for user provides, and to revise or reminding user is selected to reenter mode of learning according to the evaluation result of user to the threshold information stored in memory module, gathers steered reference information, and stores;
Described threshold information comprises: expression similar threshold value, assonance threshold value, threshold speed information;
Control module, for controlling, managing the execution flow process of modules in described monitoring device.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410276252.7A CN105292124A (en) | 2014-06-19 | 2014-06-19 | Driving monitoring method and driving monitoring device |
| PCT/CN2014/093839 WO2015192618A1 (en) | 2014-06-19 | 2014-12-15 | Driving monitoring method and device and computer storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410276252.7A CN105292124A (en) | 2014-06-19 | 2014-06-19 | Driving monitoring method and driving monitoring device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105292124A true CN105292124A (en) | 2016-02-03 |
Family
ID=54934823
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410276252.7A Pending CN105292124A (en) | 2014-06-19 | 2014-06-19 | Driving monitoring method and driving monitoring device |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN105292124A (en) |
| WO (1) | WO2015192618A1 (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106428015A (en) * | 2016-09-12 | 2017-02-22 | 惠州Tcl移动通信有限公司 | Intelligent driving assistant method and device |
| CN107235045A (en) * | 2017-06-29 | 2017-10-10 | 吉林大学 | Consider physiology and the vehicle-mounted identification interactive system of driver road anger state of manipulation information |
| CN107316436A (en) * | 2017-07-31 | 2017-11-03 | 努比亚技术有限公司 | Dangerous driving state processing method, electronic equipment and storage medium |
| CN107773247A (en) * | 2016-08-26 | 2018-03-09 | 马自达汽车株式会社 | Driver's health detection means and driver's health detection method |
| CN108860150A (en) * | 2018-07-03 | 2018-11-23 | 百度在线网络技术（北京）有限公司 | Automobile brake method, apparatus, equipment and computer readable storage medium |
| CN109461344A (en) * | 2018-12-07 | 2019-03-12 | 黑匣子(杭州)车联网科技有限公司 | A kind of method of car steering behavior assessment |
| CN110458604A (en) * | 2019-07-17 | 2019-11-15 | 中国第一汽车股份有限公司 | A kind of net about driver's evaluation method, device, equipment and storage medium |
| CN110871810A (en) * | 2018-08-21 | 2020-03-10 | 上海博泰悦臻网络技术服务有限公司 | Vehicle, vehicle equipment and driving information prompting method based on driving mode |
| CN111071258A (en) * | 2019-12-30 | 2020-04-28 | 合肥移顺信息技术有限公司 | Driving behavior detection method and device, electronic equipment and readable storage medium |
| CN111452798A (en) * | 2020-03-30 | 2020-07-28 | 芯海科技（深圳）股份有限公司 | Driver state detection method and device, electronic equipment and storage medium |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2543759B (en) * | 2015-10-23 | 2019-03-20 | Jaguar Land Rover Ltd | Vehicle user advice system |
| CN113619588A (en) * | 2020-05-09 | 2021-11-09 | 北京地平线机器人技术研发有限公司 | Driving behavior reminding method and device, storage medium and electronic equipment |
| CN111661040B (en) * | 2020-06-18 | 2022-08-12 | 吉林大学 | Slow-moving safety system and method at medium and low speed |
| CN112704480A (en) * | 2020-12-28 | 2021-04-27 | 中亿达供应链管理(无锡)有限公司 | System and method for monitoring and early warning of automobile driver psychology |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101030316A (en) * | 2007-04-17 | 2007-09-05 | 北京中星微电子有限公司 | Safety driving monitoring system and method for vehicle |
| JP2008062852A (en) * | 2006-09-08 | 2008-03-21 | Fujitsu Ten Ltd | Vehicle controller |
| CN102874259A (en) * | 2012-06-15 | 2013-01-16 | 浙江吉利汽车研究院有限公司杭州分公司 | Automobile driver emotion monitoring and automobile control system |
| CN103085818A (en) * | 2011-11-07 | 2013-05-08 | 现代自动车株式会社 | Driving assistant system and method having warning function for risk level |
| CN203283229U (en) * | 2013-06-24 | 2013-11-13 | 成都衔石科技有限公司 | Driving aiding intelligent pre-warning system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4790020B2 (en) * | 2006-09-28 | 2011-10-12 | パイオニア株式会社 | Pseudo-emotion output device, pseudo-emotion output method, pseudo-emotion output program, and computer-readable recording medium |
| CN202541525U (en) * | 2012-03-30 | 2012-11-21 | 深圳市杰成电子有限公司 | Automobile safety driving reminding system |
-
2014
- 2014-06-19 CN CN201410276252.7A patent/CN105292124A/en active Pending
- 2014-12-15 WO PCT/CN2014/093839 patent/WO2015192618A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008062852A (en) * | 2006-09-08 | 2008-03-21 | Fujitsu Ten Ltd | Vehicle controller |
| CN101030316A (en) * | 2007-04-17 | 2007-09-05 | 北京中星微电子有限公司 | Safety driving monitoring system and method for vehicle |
| CN103085818A (en) * | 2011-11-07 | 2013-05-08 | 现代自动车株式会社 | Driving assistant system and method having warning function for risk level |
| CN102874259A (en) * | 2012-06-15 | 2013-01-16 | 浙江吉利汽车研究院有限公司杭州分公司 | Automobile driver emotion monitoring and automobile control system |
| CN203283229U (en) * | 2013-06-24 | 2013-11-13 | 成都衔石科技有限公司 | Driving aiding intelligent pre-warning system |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107773247A (en) * | 2016-08-26 | 2018-03-09 | 马自达汽车株式会社 | Driver's health detection means and driver's health detection method |
| CN107773247B (en) * | 2016-08-26 | 2021-01-01 | 马自达汽车株式会社 | Driver physical condition detection device and driver physical condition detection method |
| CN106428015B (en) * | 2016-09-12 | 2019-07-19 | 惠州Tcl移动通信有限公司 | A kind of intelligent travelling crane householder method and device |
| CN106428015A (en) * | 2016-09-12 | 2017-02-22 | 惠州Tcl移动通信有限公司 | Intelligent driving assistant method and device |
| CN107235045A (en) * | 2017-06-29 | 2017-10-10 | 吉林大学 | Consider physiology and the vehicle-mounted identification interactive system of driver road anger state of manipulation information |
| CN107316436A (en) * | 2017-07-31 | 2017-11-03 | 努比亚技术有限公司 | Dangerous driving state processing method, electronic equipment and storage medium |
| CN108860150A (en) * | 2018-07-03 | 2018-11-23 | 百度在线网络技术（北京）有限公司 | Automobile brake method, apparatus, equipment and computer readable storage medium |
| CN108860150B (en) * | 2018-07-03 | 2021-05-04 | 百度在线网络技术（北京）有限公司 | Automobile braking method, device, equipment and computer readable storage medium |
| CN110871810A (en) * | 2018-08-21 | 2020-03-10 | 上海博泰悦臻网络技术服务有限公司 | Vehicle, vehicle equipment and driving information prompting method based on driving mode |
| CN109461344A (en) * | 2018-12-07 | 2019-03-12 | 黑匣子(杭州)车联网科技有限公司 | A kind of method of car steering behavior assessment |
| CN110458604A (en) * | 2019-07-17 | 2019-11-15 | 中国第一汽车股份有限公司 | A kind of net about driver's evaluation method, device, equipment and storage medium |
| CN111071258A (en) * | 2019-12-30 | 2020-04-28 | 合肥移顺信息技术有限公司 | Driving behavior detection method and device, electronic equipment and readable storage medium |
| CN111452798A (en) * | 2020-03-30 | 2020-07-28 | 芯海科技（深圳）股份有限公司 | Driver state detection method and device, electronic equipment and storage medium |
| CN111452798B (en) * | 2020-03-30 | 2021-06-25 | 芯海科技（深圳）股份有限公司 | Driver state detection method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2015192618A1 (en) | 2015-12-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105292124A (en) | Driving monitoring method and driving monitoring device | |
| CN110291478B (en) | Driver Monitoring and Response System | |
| CN106464758B (en) | It initiates to communicate using subscriber signal | |
| CN105488957B (en) | Method for detecting fatigue driving and device | |
| CN108983748B (en) | Vehicle fault detection method and terminal equipment | |
| JP2020524632A (en) | System and method for obtaining occupant feedback in response to an autonomous vehicle driving event | |
| US20160046298A1 (en) | Detection of driver behaviors using in-vehicle systems and methods | |
| CN110740901B (en) | Multimedia information pushing method and device, storage medium and electronic equipment | |
| CN108629282A (en) | A kind of smoking detection method, storage medium and computer | |
| KR20170066415A (en) | Video editing using contextual data and content discovery using clusters | |
| CN106293102A (en) | A kind of robot affective interaction method based on user mood change emotion | |
| CN105292125B (en) | Driver state monitoring method | |
| TW201328921A (en) | A computing platform for development and deployment of sensor-driven vehicle telemetry applications and services | |
| CN105493187A (en) | Technology for dynamically adjusting video playback speed | |
| CN102868830A (en) | Switching control method and device of mobile terminal themes | |
| CN109406167B (en) | Method, apparatus, device and computer-readable storage medium for evaluating a vehicle | |
| CN104933825A (en) | Alarm method and alarm device of mobile terminal | |
| CN102034287A (en) | Data management device, data reading method and computer-readable medium | |
| CN109670970A (en) | A kind of driving behavior methods of marking, device and computer readable storage medium | |
| CN107862868B (en) | A method of track of vehicle prediction is carried out based on big data | |
| CN109062755A (en) | A kind of mobile terminal usage behavior monitoring based reminding method, device, medium and equipment | |
| CN112820072A (en) | Dangerous driving early warning method and device, computer equipment and storage medium | |
| CN109523749A (en) | A kind of method of anti-fatigue-driving, equipment and storage medium | |
| JP5042711B2 (en) | Operation management device | |
| CN113934295A (en) | Pet robot growing method, system and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160203 |