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An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition
12 references·2 citing·51 second hop
An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition (2021)An intelligent system for monitoring stud…A review of affective computing: From unimodal analysis to multimodal fusion (2017)A review of affective computi…Going deeper in facial expression recognition using deep neural networks (2016)Going deeper in facial expres…BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States (2016)BAUM-1: A Spontaneous Audio-V…Attention span during lectures: 8 seconds, 10 minutes, or more? (2016)Attention span during lecture…Video Affective Content Analysis: A Survey of State-of-the-Art Methods (2015)Video Affective Content Analy…YawDD (2014)YawDDThe Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions (2014)The Faces of Engagement: Auto…Interrelations of Behavioral, Emotional, and Cognitive School Engagement in High School Students (2012)Interrelations of Behavioral,…Measuring cognitive and psychological engagement: Validation of the Student Engagement Instrument (2006)Measuring cognitive and psych…School Engagement: Potential of the Concept, State of the Evidence (2004)School Engagement: Potential …What We're Learning About Student Engagement From NSSE: Benchmarks for Effective Educational Practices (2003)What We're Learning About Stu…An argument for basic emotions (1992)An argument for basic emotionsSystematic Review of Emotion Detection with Computer Vision and Deep Learning (2024)Systematic Review of Emotion …A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms (2022)A novel multi-modal depressio…The expression of the emotions in man and animals. 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References

  • 2004School Engagement: Potential of the Concept, State of the Evidence12,540 cited
  • 1992An argument for basic emotions9,642 cited
  • 2006Measuring cognitive and psychological engagement: Validation of the Student Engagement Instrument1,773 cited
  • 2017A review of affective computing: From unimodal analysis to multimodal fusion1,640 cited
  • 2003What We're Learning About Student Engagement From NSSE: Benchmarks for Effective Educational Practices1,253 cited
  • 2016Going deeper in facial expression recognition using deep neural networks1,117 cited
  • 2014The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions683 cited
  • 2016Attention span during lectures: 8 seconds, 10 minutes, or more?484 cited
  • 2012Interrelations of Behavioral, Emotional, and Cognitive School Engagement in High School Students318 cited
  • 2014YawDD294 cited
  • 2016BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States216 cited
  • 2015Video Affective Content Analysis: A Survey of State-of-the-Art Methods196 cited

Cited by

  • 2024Systematic Review of Emotion Detection with Computer Vision and Deep Learning66 cited
  • 2022A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms

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61 cited