CN108564073A - A kind of classroom environment middle school student Emotion identification method and device - Google Patents

A kind of classroom environment middle school student Emotion identification method and device Download PDF

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Publication number
CN108564073A
CN108564073A CN201810639212.2A CN201810639212A CN108564073A CN 108564073 A CN108564073 A CN 108564073A CN 201810639212 A CN201810639212 A CN 201810639212A CN 108564073 A CN108564073 A CN 108564073A
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China
Prior art keywords
student
information
pressure
acquiring
acquire
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Pending
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CN201810639212.2A
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Chinese (zh)
Inventor
崔怀丰
蒲国林
涂朴
杨丽萍
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SICHUAN UNIVERSITY OF ARTS AND SCIENCE
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SICHUAN UNIVERSITY OF ARTS AND SCIENCE
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Priority to CN201810639212.2A priority Critical patent/CN108564073A/en
Publication of CN108564073A publication Critical patent/CN108564073A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/32Digital ink
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174Facial expression recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2203/00Indexing scheme relating to G06F3/00 - G06F3/048
    • G06F2203/01Indexing scheme relating to G06F3/01
    • G06F2203/011Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns

Abstract

The invention belongs to intelligent tutoring technical fields, disclose a kind of classroom environment middle school student Emotion identification method and device, and identification device includes:High definition camera, for acquiring student's expression information and limbs behavioural information;Microphone, for acquiring acoustic information;Heart rate test plate, the heart rate data for monitoring student;Desktop pressure sensor, for acquiring hand pressure and action message;Geostatic pressure blanket, pressure and action message for acquiring human foot;Seating pressure sensor is mounted on the seat surface of seat, the sitting posture information for acquiring student;Displacement sensor is mounted on the back-supported of seat, micro- mobile message for acquiring student;Information exchange panel, for acquire student the process of listening to the teacher notes information etc..Bronze drum of the present invention summarizes the image of collection, sound, heart rate, pressure, sitting posture information, in conjunction with final with hall test result, analyzes the relationship of the physiology and image and pressure information and the result of final school grade of final student.

Description

A kind of classroom environment middle school student Emotion identification method and device
Technical field
The invention belongs to intelligent tutoring technical field more particularly to a kind of classroom environment middle school student Emotion identification method and dresses It sets.
Background technology
Educational psychologist is thought:Mood is to influence the particularly important factor of education activities, close not with learning cognition process It can divide.The negative emotions such as disappointed, perplexed, anxiety, dejected can lead to thought slowness, hebetude, lack cordiality, it is passive slack and It is absent minded, be unfavorable for being smoothed out for study, and easily, the positive mood such as pleasure, confidence can make brains clearly, thinking Quick, passionate and positive, attention is also easy to concentrate, and contributes to the raising of learning efficiency.Correlational psychology is tested Also the accurate judgement and the working depth to learning Content that mood can influence study are demonstrated.
The Emotion identification of student, analysis, understanding are judged to dredge and adjust in classroom teaching, and according to the study of student State self-adaption adjusts instructional strategies and learning Content and to teach students in accordance with their aptitude in education, to be applied because of state in classroom teaching Religion, therefore the identification technology of the emotional state to classroom student's state, are the basis adaptively adjusted to instructional strategies, feelings Thread identification is one of key technology of human-computer interaction, and actively impact will be generated to teaching quality by being applied in classroom teaching.
Typically, the generation of any mood is all along with psychology and certain variations physiologically, Emotion identification it is basic Technology is exactly mainly the variation to these human bodies, such as the progress information collection of facial expression, voice, posture, text, physiological status And analysis.
Human facial expression recognition refers to the various moods shown by the variation of eye muscle, face muscle and oral area muscle State.Unless by special training, common people can feel or unconsciously betray it by facial expression at any time True mental emotion.
Voice-based Emotion identification, voice are the most direct modes that the mankind express mood.But it will be from the acoustics spy of voice The reverse anti-classification for releasing mood of sign, can complete by some voice service platforms to semantic understanding, and then judge at present Student's mood, voice-based Emotion identification method:The acoustic feature for acquiring student first, such as fundamental frequency intonation, sound dynamics, language Then fast emergency and fluency etc. compare these features with mood categorizing system, to judge the mood of speaker.
Emotion identification based on human body attitude:
Human body is under different moods, and the posture of body has different variations, may caress one's hair when such as anxiety, excitation time Dance for joy, shoulder may be tightened when frightened, body plays pendulum when nervous, other emotional state body postures some Universal law.
Identification by physiology to emotional state, emotional change can cause physiological status to think the uncontrollable variation of will, It is measured the mood for judging student of degree of precision by the acquisition of physiologic information.
In conclusion problem of the existing technology is:
Existing classroom environment middle school student Emotion identification method and device cannot be well by the physiology of student to mood shape The identification of state judges that the precision of the mood of student is low.
In the prior art, identification that cannot be by physiology to emotional state, emotional change can cause physiological status to think to anticipate The uncontrollable variation of will cannot be measured by the acquisition of physiologic information by the mood for judging student of degree of precision.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of classroom environment middle school student Emotion identification method and dresses It sets.
The invention is realized in this way a kind of classroom environment middle school student Emotion identification device, the classroom environment middle school student Emotion identification device includes:
High definition camera, for acquiring student's expression information and limbs behavioural information;
Microphone, for acquiring acoustic information;
Heart rate test plate, the heart rate data for monitoring student;
Desktop pressure sensor, for acquiring hand pressure and action message;
Geostatic pressure blanket, pressure and action message for acquiring human foot;
Seating pressure sensor is mounted on the seat surface of seat, the sitting posture information for acquiring student;
Displacement sensor is mounted on the back-supported of seat, micro- mobile message for acquiring student;
Information exchange panel passes through person's handwriting content analysis student couple for acquiring student in the notes information for the process of listening to the teacher It is puzzled present in mastery of knowledge degree and resonable knot.
Further, described information interactive panel is additionally operable to push information to student to understanding that correlated knowledge point exists in the process Puzzlement content explain;Summarize the image of collection, sound, heart rate, pressure, sitting posture information, is tested with hall in conjunction with final As a result, analyzing the relationship of the physiology and image and pressure information and the result of final school grade of final student.
Another object of the present invention is to provide a kind of classroom environment middle school student Emotion identification methods to include:
Acquire student's expression information and limbs behavioural information;
Acquire acoustic information;
Monitor the heart rate data of student;
Acquire hand pressure and action message;
Acquire the pressure and action message of human foot;
Acquire the sitting posture information of student;
Acquire micro- mobile message of student;
Acquire student the process of listening to the teacher notes information, by person's handwriting content analysis student to mastery of knowledge degree and It is puzzled present in reason knot;
Student is pushed information to explain existing puzzled content during understanding correlated knowledge point;Summarize collection Image, sound, heart rate, pressure, sitting posture information analyze the physiology and image of final student in conjunction with final with hall test result And the relationship of pressure information and the result of final school grade.
Another object of the present invention is to provide a kind of calculating for realizing above-mentioned classroom environment middle school student Emotion identification method Machine program.
Another object of the present invention is to provide a kind of computers equipped with above computer program.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer When upper operation so that computer executes classroom environment middle school student Emotion identification method as claimed in claim 3.
Advantages of the present invention and good effect are:
The present invention is the acquisition and identification of student's body and emotional state information in classroom environment, by acquire image, Sound, human body attitude information identify student's emotional state.The mood for judging student of degree of precision.
Description of the drawings
Fig. 1 is classroom environment middle school student Emotion identification schematic device provided in an embodiment of the present invention.
In figure:1, high definition camera;2, microphone;3, heart rate test plate;4, desktop pressure sensor;5, geostatic pressure blanket; 6, seating pressure sensor;7, displacement sensor;8, information exchange panel.
Fig. 2 is classroom environment middle school student Emotion identification method flow diagram provided in an embodiment of the present invention.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to Limit the present invention.
Below in conjunction with the accompanying drawings and specific embodiment is further described the application principle of the present invention.
Fig. 1, classroom environment middle school student Emotion identification device provided in an embodiment of the present invention,
High definition camera 1 acquires student's expression information and limbs behavioural information, and microphone 2 acquires acoustic information, heart rate test Plate 3 monitors the heart rate data of student, and desktop pressure sensor 4 acquires hand pressure and action message.
Geostatic pressure blanket 5 is used to acquire the pressure and action message of human foot.
Seating pressure sensor 6, the displacement sensor 7 installed mounted on seat seat surface and back-supported is for acquiring human body Sitting posture and micro- mobile message.
Information exchange panel 8 is used to acquire the notes information that student acquires student during listening to the teacher, and passes through person's handwriting content Student is analyzed to puzzled present in mastery of knowledge degree and resonable knot.It can be pushed information to by information exchange panel Student explains existing tired wealthy content during understanding correlated knowledge point.Image, sound, the heart of aggregation system collection Rate, pressure, sitting posture information, in conjunction with final with hall test result, the information of the same experiment test object in varied situations Reception.
Summarized by the information collection of multiple test objects, using halves as the period, analyzes the physiology and figure of final student The interpretation of result of picture and pressure information and final school grade.
Fig. 2 is classroom environment middle school student Emotion identification method provided in an embodiment of the present invention, including:
S101:Acquire student's expression information and limbs behavioural information;Acquire acoustic information;Monitor the heart rate data of student; Acquire hand pressure and action message;Acquire the pressure and action message of human foot;Acquire the sitting posture information of student;Acquisition is learned Raw micro- mobile message;Acquire student the process of listening to the teacher notes information, by person's handwriting content analysis student to mastery of knowledge It is puzzled present in degree and resonable knot;
S102:Student is pushed information to explain existing puzzled content during understanding correlated knowledge point;Summarize The image of collection, sound, heart rate, pressure, sitting posture information analyze the physiology of final student in conjunction with final with hall test result With the relationship of image and pressure information and the result of final school grade.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or its arbitrary combination real It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to Flow described in the embodiment of the present invention or function.The computer can be all-purpose computer, special purpose computer, computer network Network or other programmable devices.The computer instruction can store in a computer-readable storage medium, or from one Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL) Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center Transmission).The computer read/write memory medium can be that any usable medium that computer can access either includes one The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state disk Solid State Disk (SSD)) etc..
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.

Claims (6)

1. a kind of classroom environment middle school student Emotion identification device, which is characterized in that the classroom environment middle school student Emotion identification dress Set including:
High definition camera, for acquiring student's expression information and limbs behavioural information;
Microphone, for acquiring acoustic information;
Heart rate test plate, the heart rate data for monitoring student;
Desktop pressure sensor, for acquiring hand pressure and action message;
Geostatic pressure blanket, pressure and action message for acquiring human foot;
Seating pressure sensor is mounted on the seat surface of seat, the sitting posture information for acquiring student;
Displacement sensor is mounted on the back-supported of seat, micro- mobile message for acquiring student;
Information exchange panel, for acquire student the process of listening to the teacher notes information, by person's handwriting content analysis student to knowledge Grasping level and resonable knot present in it is puzzled.
2. classroom environment middle school student Emotion identification device as described in claim 1, which is characterized in that described information interactive panel It is additionally operable to push information to student to explain existing puzzled content during understanding correlated knowledge point;Summarize the figure of collection Picture, sound, heart rate, pressure, sitting posture information, in conjunction with final with hall test result, analyze the physiology of final student and image and The relationship of pressure information and the result of final school grade.
3. a kind of classroom environment middle school student Emotion identification side of classroom environment middle school student Emotion identification device as described in claim 1 Method, which is characterized in that the classroom environment middle school student Emotion identification method includes:
Acquire student's expression information and limbs behavioural information;
Acquire acoustic information;
Monitor the heart rate data of student;
Acquire hand pressure and action message;
Acquire the pressure and action message of human foot;
Acquire the sitting posture information of student;
Acquire micro- mobile message of student;
Acquire student the process of listening to the teacher notes information, by person's handwriting content analysis student to mastery of knowledge degree and resonable knot Present in it is puzzled;
Student is pushed information to explain existing puzzled content during understanding correlated knowledge point;Summarize the figure of collection Picture, sound, heart rate, pressure, sitting posture information, in conjunction with final with hall test result, analyze the physiology of final student and image and The relationship of pressure information and the result of final school grade.
4. a kind of computer program for realizing classroom environment middle school student Emotion identification method described in claim 3.
5. a kind of computer equipped with computer program described in claim 4.
6. a kind of computer readable storage medium, including instruction, when run on a computer so that computer is executed as weighed Profit requires classroom environment middle school student's Emotion identification method described in 3.
CN201810639212.2A 2018-06-20 2018-06-20 A kind of classroom environment middle school student Emotion identification method and device Pending CN108564073A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109378071A (en) * 2018-09-27 2019-02-22 华东师范大学 A kind of system and method acquiring classroom integrated information based on Intelligent cushion group
CN110033400A (en) * 2019-03-26 2019-07-19 深圳先进技术研究院 A kind of classroom monitoring analysis system
CN111696011A (en) * 2020-06-04 2020-09-22 信雅达系统工程股份有限公司 Monitoring and regulating student autonomous learning system and method thereof
CN115100007A (en) * 2022-08-24 2022-09-23 可可乐博(深圳)科技有限公司 Online teaching management method and system based on artificial intelligence

Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW200839668A (en) * 2007-03-30 2008-10-01 Univ Nat Kaohsiung 1St Univ Sc Mobile classroom feedback system
CN102542849A (en) * 2012-01-20 2012-07-04 东南大学 Formative evaluation system
CN104794947A (en) * 2015-04-01 2015-07-22 广东小天才科技有限公司 Teaching situation feedback method and teaching situation feedback device
CN105225559A (en) * 2015-10-30 2016-01-06 福建警察学院 A kind of multifunction teaching backup system
CN105433962A (en) * 2015-12-23 2016-03-30 牡丹江师范学院 Intelligent psychological teaching and psychological testing experiment device
CN105496407A (en) * 2016-01-17 2016-04-20 仲佳 Reminding device and method thereof
CN105869468A (en) * 2016-06-24 2016-08-17 苏州美丽澄电子技术有限公司 Intelligent family education robot
CN105920781A (en) * 2016-06-30 2016-09-07 姚前 Fitness and entertainment method, fitness and entertainment device and fitness and entertainment system
CN106023012A (en) * 2016-05-12 2016-10-12 北京圣水龙兴文化传媒有限公司 Student behavior analysis method and system based on cloud computing
CN106023693A (en) * 2016-05-25 2016-10-12 北京九天翱翔科技有限公司 Education system and method based on virtual reality technology and pattern recognition technology
CN106388289A (en) * 2016-10-28 2017-02-15 长沙理工大学 Seat capable of reminding students of focusing attention
CN106599881A (en) * 2016-12-30 2017-04-26 首都师范大学 Student state determination method, device and system
CN106952516A (en) * 2017-05-16 2017-07-14 武汉科技大学 A kind of student classroom writes the intelligent analysis system of period
CN107292271A (en) * 2017-06-23 2017-10-24 北京易真学思教育科技有限公司 Learning-memory behavior method, device and electronic equipment
CN107391679A (en) * 2017-07-23 2017-11-24 肇庆高新区长光智能技术开发有限公司 Aid in methods of review, device and equipment
CN107767313A (en) * 2017-05-18 2018-03-06 青岛陶知电子科技有限公司 A kind of intelligent interaction tutoring system with emotion recognition function
CN107808563A (en) * 2017-11-24 2018-03-16 南宁市远才教育咨询有限公司 A kind of classroom interactions' method on classroom for allowing student's no pressure
CN108062880A (en) * 2017-03-16 2018-05-22 北京朗星耀世光学技术有限公司 A kind of intelligence overturning educational applications and basic data platform

Patent Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW200839668A (en) * 2007-03-30 2008-10-01 Univ Nat Kaohsiung 1St Univ Sc Mobile classroom feedback system
CN102542849A (en) * 2012-01-20 2012-07-04 东南大学 Formative evaluation system
CN104794947A (en) * 2015-04-01 2015-07-22 广东小天才科技有限公司 Teaching situation feedback method and teaching situation feedback device
CN105225559A (en) * 2015-10-30 2016-01-06 福建警察学院 A kind of multifunction teaching backup system
CN105433962A (en) * 2015-12-23 2016-03-30 牡丹江师范学院 Intelligent psychological teaching and psychological testing experiment device
CN105496407A (en) * 2016-01-17 2016-04-20 仲佳 Reminding device and method thereof
CN106023012A (en) * 2016-05-12 2016-10-12 北京圣水龙兴文化传媒有限公司 Student behavior analysis method and system based on cloud computing
CN106023693A (en) * 2016-05-25 2016-10-12 北京九天翱翔科技有限公司 Education system and method based on virtual reality technology and pattern recognition technology
CN105869468A (en) * 2016-06-24 2016-08-17 苏州美丽澄电子技术有限公司 Intelligent family education robot
CN105920781A (en) * 2016-06-30 2016-09-07 姚前 Fitness and entertainment method, fitness and entertainment device and fitness and entertainment system
CN106388289A (en) * 2016-10-28 2017-02-15 长沙理工大学 Seat capable of reminding students of focusing attention
CN106599881A (en) * 2016-12-30 2017-04-26 首都师范大学 Student state determination method, device and system
CN108062880A (en) * 2017-03-16 2018-05-22 北京朗星耀世光学技术有限公司 A kind of intelligence overturning educational applications and basic data platform
CN106952516A (en) * 2017-05-16 2017-07-14 武汉科技大学 A kind of student classroom writes the intelligent analysis system of period
CN107767313A (en) * 2017-05-18 2018-03-06 青岛陶知电子科技有限公司 A kind of intelligent interaction tutoring system with emotion recognition function
CN107292271A (en) * 2017-06-23 2017-10-24 北京易真学思教育科技有限公司 Learning-memory behavior method, device and electronic equipment
CN107391679A (en) * 2017-07-23 2017-11-24 肇庆高新区长光智能技术开发有限公司 Aid in methods of review, device and equipment
CN107808563A (en) * 2017-11-24 2018-03-16 南宁市远才教育咨询有限公司 A kind of classroom interactions' method on classroom for allowing student's no pressure

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109378071A (en) * 2018-09-27 2019-02-22 华东师范大学 A kind of system and method acquiring classroom integrated information based on Intelligent cushion group
CN110033400A (en) * 2019-03-26 2019-07-19 深圳先进技术研究院 A kind of classroom monitoring analysis system
CN111696011A (en) * 2020-06-04 2020-09-22 信雅达系统工程股份有限公司 Monitoring and regulating student autonomous learning system and method thereof
CN111696011B (en) * 2020-06-04 2023-09-29 信雅达科技股份有限公司 System and method for monitoring, regulating and controlling student autonomous learning
CN115100007A (en) * 2022-08-24 2022-09-23 可可乐博(深圳)科技有限公司 Online teaching management method and system based on artificial intelligence

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