Improvement of Student Weariness Emotion in English Classroom Based on Intelligent Internet of Things and Big Data Technology.
In order to improve the recognition effect of student weariness emotion in English classroom, this paper combines intelligent Internet of Things technology and big data technology to construct an improvement model of student weariness emotion in English classroom. In the process of student facial ex...
| Publicado en: | Occupational Therapy International pp. 1 - 12 |
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| Autor principal: | |
| Formato: | algorithm equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
8/31/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158816351&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158816351 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09667903 GPF jtl: Occupational Therapy International issn: 09667903 maglogo: Y pubinfo: dt: 8/31/2022 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 158816351 158816351 158816351 10.1155/2022/9369389 158816351 ppf: 1 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Improvement of Student Weariness Emotion in English Classroom Based on Intelligent Internet of Things and Big Data Technology. aug: au: Pang, Ya affil: School of Foreign Languages, Hainan Normal University, Haikou, Hainan 571158, China sug: subj: Fatigue Emotions Evaluation English Language Learning Environment Intelligence Tests Methods Internet Utilization Technology Human Facial Expression Evaluation Printing, Three-Dimensional Methods Learning Methods Counseling Health Knowledge Mental Health Confusion ab: In order to improve the recognition effect of student weariness emotion in English classroom, this paper combines intelligent Internet of Things technology and big data technology to construct an improvement model of student weariness emotion in English classroom. In the process of student facial expression recognition, according to the given grayscale threshold, this paper extracts the surface contour information from the three-dimensional volume data, extracts the student's surface contour information, and uses triangular facets to fit to form a triangular mesh. Moreover, this paper renders a triangular mesh model and shows how to speed up the calculation of PFH. In addition, this paper proposes a Fast Point Feature Histogram, which uses an iterative closest point fine registration algorithm for image registration. Finally, this paper constructs an emotion recognition model of students' weariness in English classroom. From the test results, it can be seen that the student weariness emotion recognition system in English classroom proposed in this paper can effectively identify students' weariness emotion. pubtype: Academic Journal doctype: algorithm equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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