Research on Multimodal Affective Computing Oriented to Online Collaborative Learning

Analyzing the emotion interaction of online collaborative learning, this paper proposes a multimodal affective computing model combined with the logical function. The framework of an affective computing is designed, which includes several modules for collection, processing, analysis and visualizatio...

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Bibliographic Details
Main Authors: Yang, Jinpeng, Xue, Yaofeng, Zeng, Zhitong, Guo, Wei
Format: Conference Proceeding
Language:English
Subjects:
Affective computing
Collaborative work
Computational modeling
data analysis
Education
Emotion recognition
Feature extraction
Hidden Markov models
Learning community
Logical function
Online collaborative learning
Online Access:Request full text
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Summary:Analyzing the emotion interaction of online collaborative learning, this paper proposes a multimodal affective computing model combined with the logical function. The framework of an affective computing is designed, which includes several modules for collection, processing, analysis and visualization of data, sentiment classification and feedback. Finally, the feasibility and validity of the prototype system is verified.
ISSN:2161-377X
DOI:10.1109/ICALT.2019.00045