Engagement Recognition Using a Multi-Domain Feature Extraction Method Based on Correlation-Based Common Spatial Patterns
Author:
Affiliation:
1. Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. School of Microelectronics, Shanghai University, Shanghai 201800, China
Abstract
Funder
Shanghai Pilot Program for Basic Research—Chinese Academy of Sciences, Shanghai Branch
Science and Technology Commission Foundation of Shanghai
Shanghai Industrial Collaborative Innovation Project
Publisher
MDPI AG
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Link
https://www.mdpi.com/2076-3417/13/21/11924/pdf
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3. The effects of self-efficacy, self-regulation and social presence on learning engagement in a large university class using flipped Learning;Doo;J. Comput. Assist. Learn.,2020
4. Linkages between transformational leadership, work meaningfulness and work engagement: A multilevel cross sectional study;Meng;Psychol. Res. Behav. Manag.,2022
5. Attention control moderates the relationship between social media use and psychological distress;Mahalingham;J. Affect. Disord.,2022
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