Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network
Author:
Affiliation:
1. Laboratory of Algorithms and Technologies for Network Analysis, HSE University, Nizhny Novgorod, Russia
2. Artificial Intelligence Research Institute (AIRI), Moscow, Russia
Funder
Analytical Center for the Government of the Russian Federation
National Research University Higher School of Economics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Human-Computer Interaction,Software
Link
http://xplorestaging.ieee.org/ielx7/5165369/9964459/09815154.pdf?arnumber=9815154
Reference59 articles.
1. FaceEngage: Robust Estimation of Gameplay Engagement from User-contributed (YouTube) Videos
2. The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions
3. Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks
4. Bi-modality Fusion for Emotion Recognition in the Wild
5. Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition
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