CN107133593A - A kind of child's mood acquisition methods and system - Google Patents

A kind of child's mood acquisition methods and system Download PDF

Info

Publication number
CN107133593A
CN107133593A CN201710316971.0A CN201710316971A CN107133593A CN 107133593 A CN107133593 A CN 107133593A CN 201710316971 A CN201710316971 A CN 201710316971A CN 107133593 A CN107133593 A CN 107133593A
Authority
CN
China
Prior art keywords
key point
lip
eyebrow
feature
child
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
Application number
CN201710316971.0A
Other languages
Chinese (zh)
Inventor
罗武胜
鲁琴
肖晶晶
杜列波
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hunan Fang Konami Education Polytron Technologies Inc
Original Assignee
Hunan Fang Konami Education Polytron Technologies Inc
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hunan Fang Konami Education Polytron Technologies Inc filed Critical Hunan Fang Konami Education Polytron Technologies Inc
Priority to CN201710316971.0A priority Critical patent/CN107133593A/en
Publication of CN107133593A publication Critical patent/CN107133593A/en
Pending legal-status Critical Current

Links

Classifications

    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention discloses a kind of child's mood acquisition methods and system, this method includes:Gather the facial image of child;Face location, positioning eyebrow key point, human eye key point and lip key point are detected in facial image;Eyebrow feature is obtained according to eyebrow key point, human eye feature is obtained according to human eye key point, lip feature is obtained according to lip key point;The mood of child is determined by eyebrow feature, human eye feature and lip feature.This method realizes the mood for obtaining child, is easy to the management of child's mood.

Description

A kind of child's mood acquisition methods and system
Technical field
The present invention relates to mood analysis technical field, more particularly to a kind of child's mood acquisition methods and system.
Background technology
At present, social concern increasingly increases, and causes some " missings " in terms of social mentality, what part population was shown Psychological problems also become clear day by day and seriously.When the psychology of people goes wrong, performance is more significantly the mood of people.Feelings Thread, is to feel and with idea, physiological status and the psychological condition felt and come, while also instinct is delivered to limbs and face Portion, shows corresponding facial characteristics change.And the accumulation of negative feeling can then have a strong impact on the work of people, life, or even people There is selection to terminate the life of oneself.Therefore it is external substantially mainly for the mood and action behavior of people etc. in existing psychological research Performance studied, and it is more tend to adult, crowd's restorative phychology such issues that to help.
The method of current mood analysis is mainly for this colony of being grown up, not specifically designed for the analysis of child's emotional change Method, it is impossible to obtain the mood of child, have ignored the education to child's mood and management.
The content of the invention
It is an object of the invention to provide a kind of child's mood acquisition methods and system, to realize the mood for obtaining child, just In the management of child's mood.
In order to solve the above technical problems, the present invention provides a kind of child's mood acquisition methods, including:
Gather the facial image of child;
Face location, positioning eyebrow key point, human eye key point and lip key point are detected in facial image;
Eyebrow feature is obtained according to eyebrow key point, human eye feature is obtained according to human eye key point, according to lip key point Obtain lip feature;
The mood of child is determined by eyebrow feature, human eye feature and lip feature.
It is preferred that, face location is detected in facial image, eyebrow key point, human eye key point and lip key point is positioned, Including:
Face location is detected in facial image, is closed in face location using track algorithm positioning eyebrow key point, human eye Key point and lip key point.
It is preferred that, it is described to obtain eyebrow feature according to eyebrow key point, obtain human eye feature, foundation according to human eye key point Lip key point obtains lip feature, including:
The curvature and distance of left and right eyebrow are calculated using eyebrow key point, the song of upper lower eyelid is calculated using human eye key point Rate and interior tail of the eye angle, the curvature and corners of the mouth angle of upper lower lip are calculated using lip key point.
It is preferred that, the mood of the child includes glad, sad, frightened and indignation.
The present invention also provides a kind of child's mood and obtains system, for realizing the above method, including:
Acquisition module, the facial image for gathering child;
Locating module, for detecting face location in facial image, positioning eyebrow key point, human eye key point and lip are closed Key point;
Characteristic module, for obtaining eyebrow feature according to eyebrow key point, human eye feature is obtained according to human eye key point, according to Lip feature is obtained according to lip key point;
Mood module, the mood for determining child by eyebrow feature, human eye feature and lip feature.
It is preferred that, the locating module specifically for facial image detect face location, in face location utilize with Track algorithm positioning eyebrow key point, human eye key point and lip key point.
It is preferred that, the characteristic module is specifically for curvature and distance using eyebrow key point calculating left and right eyebrow, profit The curvature and interior tail of the eye angle of upper lower eyelid are calculated with human eye key point, the curvature of upper lower lip is calculated using lip key point With corners of the mouth angle.
It is preferred that, the mood of the child includes glad, sad, frightened and indignation.
A kind of child's mood acquisition methods provided by the present invention and system, gather the facial image of child;In face figure As detection face location, positioning eyebrow key point, human eye key point and lip key point;It is special that eyebrow is obtained according to eyebrow key point Levy, human eye feature is obtained according to human eye key point, lip feature is obtained according to lip key point;It is special by eyebrow feature, human eye Lip feature of seeking peace determines the mood of child.It can be seen that, eyebrow key point, human eye key point and lip key point are positioned, Eyebrow feature, human eye feature, lip feature are obtained according to these key points, passes through eyebrow feature, human eye feature and lip feature To judge the mood of child, the mood for obtaining child is so realized, is easy to the management of child's mood.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of flow chart of child's mood acquisition methods provided by the present invention;
Fig. 2 is children's concentration analysis process figure;
Fig. 3 obtains the structural representation of system for a kind of child's mood provided by the present invention.
Embodiment
The core of the present invention is to provide a kind of child's mood acquisition methods and system, to realize the mood for obtaining child, just In the management of child's mood.
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Fig. 1 is refer to, Fig. 1 is a kind of flow chart of child's mood acquisition methods provided by the present invention, and this method includes:
S11:Gather the facial image of child;
S12:Face location, positioning eyebrow key point, human eye key point and lip key point are detected in facial image;
S13:Eyebrow feature is obtained according to eyebrow key point, human eye feature is obtained according to human eye key point, is closed according to lip Key point obtains lip feature;
S14:The mood of child is determined by eyebrow feature, human eye feature and lip feature.
It can be seen that, in this method, eyebrow key point, human eye key point and lip key point are positioned, according to these passes Key point obtains eyebrow feature, human eye feature, lip feature, and child is judged by eyebrow feature, human eye feature and lip feature Mood, so realize obtain child mood, be easy to the management of child's mood.
Based on the above method, further, step S12 process is specifically included:Face location is detected in facial image, Track algorithm positioning eyebrow key point, human eye key point and lip key point are utilized in face location.
Further, step S13 process is specifically included:Using eyebrow key point calculate left and right eyebrow curvature and away from From calculating the curvature and interior tail of the eye angle of upper lower eyelid using human eye key point, utilize lip key point to calculate upper lower lip Curvature and corners of the mouth angle.
Wherein, the mood of the child includes glad, sad, frightened and indignation.
Detailed, child is substantially at a kind of imitation stage as special colony, the process of study is compared in student, plus Age it is smaller, ability of language expression is undeveloped, for the impression of heart, tends not to accurately express, but pass through Shrink back or fierce Emotion expression comes out.And this stage is the important stage of children's character behavior shaping and development.According to children A series of obvious, inflammable, unstable features that youngster's Emotion expression goes out, the mood just to child since preschool education is closed Note, analysis and education, by a kind of child's emotional change analysis system positioned based on feature tracking, are found, understood in time The emotional change of child, and educated and managed, the good emotional characteristics of child is helped with this, promotes the health of child's body and mind Development.The present invention is used for aided education, helps the children learning mood of oneself good at managing, promotes the sound development of child's body and mind.
Fig. 2 is children's concentration analysis process figure, and based on this method, specific implementation process is as follows:
Step 1:Camera collects facial image;
Step 2:Data processing centre utilize according to the position of Intelligent seat calculate the space geometry of face and camera away from From scaling filter is realized in design;
Wherein, according to the face length L of 3-6 Sui children, the dimension calculation of wave filter is:
Wherein, f is the focal length of camera, and D is distance of the camera to child position;
Step 3:When the first two field picture is reached, the feature templates of face are imported, and utilize scale filter and the side of cascade Formula searches the position that face occurs in video image;
Step 4:The face location detected is preserved, and regard the integral position information of face as the initial of crucial point location Change information;
Step 5:When next two field picture is reached, face tracking is completed using correlation filtering;
Step 6:According to the face location of positioning, aid in detecting the position of face using track algorithm and position key point;
Step 7:Its curvature and distance are calculated using the eyebrow (each five key points in left and right) in face location and key point;
Step 8:According to human eye key point position, the curvature and interior tail of the eye angle of lower eyelid in calculating;
Step 9:Put according to people's lip key point, the curvature of lower lip and corners of the mouth angle in calculating;
The above-mentioned key point on eyebrow, human eye and lip, is at least 3, generally 5, certainly The more the better.Algorithm Using RANSAC mode, the main positions information of child study will be estimated, and algorithm utilizes Cascade algorithms auxiliary detection face Position and position eyebrow, the key point of eyes and lip;
Wherein, algorithm is respectively completed conic fitting according to the key point of eyebrow, upper lower eyelid and upper lower lip:
Wherein, pyFor the image ordinate of key point, pxFor the image abscissa of key point, the curve is by least square method Fitting is completed, the curvature on conic section summit just represents the curvature of curve of corresponding eyebrow, upper lower eyelid and upper lower lip;
The distance of eyebrow is obtained by calculating the distance of key point position;
Main three key points near it of the angle of the interior tail of the eye and the corners of the mouth calculate gained, if the position of its three points For A (a, b), B (c, d), C (e, f), vectorial AB=(c-a, d-b), vectorial BC=(e-c, f-d) then cos ABC==(c-a, d-b)*(e-c,f-d)/(c-a,d-b)|*|(e-c,f-d)|;
Step 10:As shown in table 1 in summary the happiness of tagsort child, sadness, fear, fear four kinds of moods, table 1 For the facial characteristics of four kinds of moods of child;
Table 1
Step 11:To improve the robustness of algorithm, every ten frame of algorithm judges the mood of a child;
Step 12:Algorithm utilizes change severe degree of the face key point in course, is attended class mood point to complete student Class.
From different place in the prior art:Due to being using exchange, observation and the guiding of subjectivity in the prior art, judging To carry out the research of emotional change, adult is primarily directed to, and the present invention is analyzed using science algorithm, is applied Specific classroom, teacher teaching PPT is combined with, in combination with desk camera and back-end data processing center parser Utilize so that teaching process is to be directed to each child, that is, realize man-to-man video acquisition, detection, positioning and analysis.Finally The conclusion that emotional change more reasonably, more scientific is analyzed is drawn by parser.The present invention final form at any time with Ground for participate in preschool education everyone provide intelligent informationization clothes.It is auxiliary that the present invention determines that method is applied on child's mood Classroom instruction is helped, the children learning mood of oneself good at managing is helped, promotes the sound development of child's body and mind.
Child is by the study of single course, and the present invention is showed according to the study content of same day child, classroom, carries out child Data statistics on the one, summary, obtain the indexs such as curiosity, focus, collaborative, acuity, novelty.According to these indexs profit The analysis and summary of science are carried out to personality, the mood of child with algorithm.Simultaneously single lesson data index with course other people Data are compared, and help teacher and parent to be better understood by the personality feature of child, and control to mood, management and to class Gap in terms of the focus of journey, fitness with regard to certain course or between contemporary.Then obtained according to single course The indexs such as personal data index and curiosity, focus, collaborative, the acuity of same batch child are compared, analyzed, according to The personality feature of child is targetedly taught, and helps child to keep positive, good mood, eliminates negative, passive feelings Thread.So as to promote child's self-development and the growth of personality.
Wherein, filtering be by the operation that specific band frequency is filtered out in signal, be suppress and prevent interference one it is important Measure.It is the result of a certain random process according to the observation, the probability theory estimated another random process associated therewith With method.Robustness refers to that control system under the Parameter Perturbation of certain (structure, size), maintains the spy of some other performances Property, to characterization control system to characteristic or the insensitivity of parameter perturbation.
Fig. 3 is refer to, Fig. 3 obtains the structural representation of system, the system for a kind of child's mood provided by the present invention For realizing the above method, the system includes:
Acquisition module 101, the facial image for gathering child;
Locating module 102, for detecting face location, positioning eyebrow key point, human eye key point and mouth in facial image Lip key point;
Characteristic module 103, for obtaining eyebrow feature according to eyebrow key point, obtains human eye special according to human eye key point Levy, lip feature is obtained according to lip key point;
Mood module 104, the mood for determining child by eyebrow feature, human eye feature and lip feature.
It can be seen that, in the system, eyebrow key point, human eye key point and lip key point are positioned, according to these passes Key point obtains eyebrow feature, human eye feature, lip feature, and child is judged by eyebrow feature, human eye feature and lip feature Mood, so realize obtain child mood, be easy to the management of child's mood.
Based on said system, further, locating module in facial image specifically for detecting face location, in face position Put middle utilization track algorithm positioning eyebrow key point, human eye key point and lip key point.
Further, characteristic module is utilized specifically for curvature and distance using eyebrow key point calculating left and right eyebrow Human eye key point calculates the curvature and interior tail of the eye angle of upper lower eyelid, using lip key point calculate upper lower lip curvature and Corners of the mouth angle.
Wherein, the mood of child includes glad, sad, frightened and indignation.
Further, acquisition module is camera, and locating module, characteristic module and mood module are set in data handling The heart.
The embodiment of each in this specification is described by the way of progressive, and what each embodiment was stressed is and other Between the difference of embodiment, each embodiment identical similar portion mutually referring to.For system disclosed in embodiment For, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is said referring to method part It is bright.
A kind of child's mood acquisition methods provided by the present invention and system are described in detail above.Herein should The principle and embodiment of the present invention are set forth with specific case, the explanation of above example is only intended to help and managed Solve the method and its core concept of the present invention.It should be pointed out that for those skilled in the art, not departing from On the premise of the principle of the invention, some improvement and modification can also be carried out to the present invention, these are improved and modification also falls into this hair In bright scope of the claims.

Claims (8)

1. a kind of child's mood acquisition methods, it is characterised in that including:
Gather the facial image of child;
Face location, positioning eyebrow key point, human eye key point and lip key point are detected in facial image;
Eyebrow feature is obtained according to eyebrow key point, human eye feature is obtained according to human eye key point, is obtained according to lip key point Lip feature;
The mood of child is determined by eyebrow feature, human eye feature and lip feature.
2. the method as described in claim 1, it is characterised in that detect face location in facial image, positioning eyebrow key point, Human eye key point and lip key point, including:
Face location is detected in facial image, track algorithm positioning eyebrow key point, human eye key point are utilized in face location With lip key point.
3. method as claimed in claim 2, it is characterised in that described to obtain eyebrow feature according to eyebrow key point, according to people Eye key point obtains human eye feature, and lip feature is obtained according to lip key point, including:
The curvature and distance of left and right eyebrow are calculated using eyebrow key point, using human eye key point calculate upper lower eyelid curvature and Interior tail of the eye angle, the curvature and corners of the mouth angle of upper lower lip are calculated using lip key point.
4. method as claimed in claim 3, it is characterised in that the mood of the child includes glad, sad, frightened and anger Anger.
5. a kind of child's mood obtains system, it is characterised in that for realizing as described in any one in Claims 1-4 Method, including:
Acquisition module, the facial image for gathering child;
Locating module, for detecting face location in facial image, positioning eyebrow key point, human eye key point and lip are crucial Point;
Characteristic module, for obtaining eyebrow feature according to eyebrow key point, human eye feature is obtained according to human eye key point, according to mouth Lip key point obtains lip feature;
Mood module, the mood for determining child by eyebrow feature, human eye feature and lip feature.
6. system as claimed in claim 5, it is characterised in that the locating module in facial image specifically for detecting face Position, utilizes track algorithm positioning eyebrow key point, human eye key point and lip key point in face location.
7. system as claimed in claim 6, it is characterised in that the characteristic module using eyebrow key point specifically for being calculated The curvature and distance of left and right eyebrow, the curvature and interior tail of the eye angle of upper lower eyelid are calculated using human eye key point, lip is utilized Key point calculates the curvature and corners of the mouth angle of upper lower lip.
8. system as claimed in claim 7, it is characterised in that the mood of the child includes glad, sad, frightened and anger Anger.
CN201710316971.0A 2017-05-08 2017-05-08 A kind of child's mood acquisition methods and system Pending CN107133593A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710316971.0A CN107133593A (en) 2017-05-08 2017-05-08 A kind of child's mood acquisition methods and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710316971.0A CN107133593A (en) 2017-05-08 2017-05-08 A kind of child's mood acquisition methods and system

Publications (1)

Publication Number Publication Date
CN107133593A true CN107133593A (en) 2017-09-05

Family

ID=59731690

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710316971.0A Pending CN107133593A (en) 2017-05-08 2017-05-08 A kind of child's mood acquisition methods and system

Country Status (1)

Country Link
CN (1) CN107133593A (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108008815A (en) * 2017-11-30 2018-05-08 西安科锐盛创新科技有限公司 Man-machine interaction method based on Eye states recognition technology
CN108256499A (en) * 2018-02-05 2018-07-06 湖南科乐坊教育科技股份有限公司 A kind of book assessment information determines method, apparatus and system
CN108261178A (en) * 2018-01-12 2018-07-10 平安科技(深圳)有限公司 ANIMAL PAIN index judgment method, device and storage medium
CN110363124A (en) * 2019-07-03 2019-10-22 广州多益网络股份有限公司 Rapid expression recognition and application method based on face key points and geometric deformation
CN111161035A (en) * 2019-12-31 2020-05-15 北京三快在线科技有限公司 Dish recommendation method and device, server, electronic equipment and storage medium
CN111582611A (en) * 2019-02-18 2020-08-25 北京入思技术有限公司 Classroom teaching evaluation method and system based on emotion perception
CN112957042A (en) * 2021-01-29 2021-06-15 特路(北京)科技有限公司 Non-contact target emotion recognition method and system
CN112965392A (en) * 2021-02-01 2021-06-15 读书郎教育科技有限公司 Early education robot system and method capable of being gnawed

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105260416A (en) * 2015-09-25 2016-01-20 百度在线网络技术(北京)有限公司 Voice recognition based searching method and apparatus
CN105354527A (en) * 2014-08-20 2016-02-24 南京普爱射线影像设备有限公司 Negative expression recognizing and encouraging system
CN105868686A (en) * 2015-12-31 2016-08-17 乐视网信息技术(北京)股份有限公司 Video classification method and apparatus
CN106127139A (en) * 2016-06-21 2016-11-16 东北大学 A kind of dynamic identifying method of MOOC course middle school student's facial expression
CN106446753A (en) * 2015-08-06 2017-02-22 南京普爱医疗设备股份有限公司 Negative expression identifying and encouraging system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105354527A (en) * 2014-08-20 2016-02-24 南京普爱射线影像设备有限公司 Negative expression recognizing and encouraging system
CN106446753A (en) * 2015-08-06 2017-02-22 南京普爱医疗设备股份有限公司 Negative expression identifying and encouraging system
CN105260416A (en) * 2015-09-25 2016-01-20 百度在线网络技术(北京)有限公司 Voice recognition based searching method and apparatus
CN105868686A (en) * 2015-12-31 2016-08-17 乐视网信息技术(北京)股份有限公司 Video classification method and apparatus
CN106127139A (en) * 2016-06-21 2016-11-16 东北大学 A kind of dynamic identifying method of MOOC course middle school student's facial expression

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108008815A (en) * 2017-11-30 2018-05-08 西安科锐盛创新科技有限公司 Man-machine interaction method based on Eye states recognition technology
CN108008815B (en) * 2017-11-30 2021-05-25 永目堂股份有限公司 Human-computer interaction method based on eye state recognition technology
CN108261178A (en) * 2018-01-12 2018-07-10 平安科技(深圳)有限公司 ANIMAL PAIN index judgment method, device and storage medium
CN108261178B (en) * 2018-01-12 2020-08-28 平安科技(深圳)有限公司 Animal pain index judgment method and device and storage medium
CN108256499A (en) * 2018-02-05 2018-07-06 湖南科乐坊教育科技股份有限公司 A kind of book assessment information determines method, apparatus and system
CN111582611A (en) * 2019-02-18 2020-08-25 北京入思技术有限公司 Classroom teaching evaluation method and system based on emotion perception
CN110363124A (en) * 2019-07-03 2019-10-22 广州多益网络股份有限公司 Rapid expression recognition and application method based on face key points and geometric deformation
CN111161035A (en) * 2019-12-31 2020-05-15 北京三快在线科技有限公司 Dish recommendation method and device, server, electronic equipment and storage medium
CN112957042A (en) * 2021-01-29 2021-06-15 特路(北京)科技有限公司 Non-contact target emotion recognition method and system
CN112965392A (en) * 2021-02-01 2021-06-15 读书郎教育科技有限公司 Early education robot system and method capable of being gnawed

Similar Documents

Publication Publication Date Title
CN107133593A (en) A kind of child's mood acquisition methods and system
Nicolazzo Trans* in college: Transgender students' strategies for navigating campus life and the institutional politics of inclusion
Sterne Diminished faculties: A political phenomenology of impairment
Adams et al. Keywords for disability studies
Williams Redefining institutional racism
Misawa Queer race pedagogy for educators in higher education: Dealing with power dynamics and positionality of LGBTQ students of color
Scott Gender as a useful category of historical analysis
Smith et al. Chapter 4 Narrative Analysis in Sport and Physical Culture
CN107992471A (en) Information filtering method and device in a kind of interactive process
CN107145864A (en) A kind of concentration appraisal procedure and system
Whitfield Inclusivity and equality in performance training: Teaching and learning for neuro and physical diversity
White et al. PRIDE: Positive racial identity development in early education
Zhou et al. Realization of self-adaptive higher teaching management based upon expression and speech multimodal emotion recognition
Henderson Intersecting race and gender in feminist theories of women's psychological development
Miller From pages to pedagogy: Studying fictional social justice English teachers in young adult literature
Iyengar et al. Amplifying Indian women’s voices and experiences to advance their access to technical and vocational education training
Zhang [Retracted] A Teaching Model Combining Aesthetic Education and Action Education Based on Cluster Mining under the Background of Big Data
Graff The unbearable whiteness of being
Tjärnstig et al. Educational Equity in the sphere of Bildung? The alternative case for Waldorf education
Bulla et al. Comparing user perspectives in a virtual reality cultural heritage environment
Kaler-Jones " You Can't See Me By Looking at Me": Black Girls' Arts-based Practices as Mechanisms for Identity Construction and Resistance
Puryear Perception and representation in Leibniz
Széll School-related factors of resilience development
Underwood et al. Counseling adolescents competently
Huang et al. [Retracted] Analysis of Ideological and Political Classroom Based on Artificial Intelligence and Data Mining Technology

Legal Events

Date Code Title Description
PB01 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: 20170905