An Explainable Student Fatigue Monitoring Module with Joint Facial Representation

Online fatigue estimation is, inevitably, in demand as fatigue can impair the health of college students and lower the quality of higher education. Therefore, it is essential to monitor college students’ fatigue to diminish its adverse effects on the health and academic performance of college studen...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 7; S. 3602
Hauptverfasser:	Li, Xiaomian, Lin, Jiaqin, Tian, Zhiqiang, Lin, Yuping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 30.03.2023 MDPI
Schlagworte:	20th century Academic achievement Academic Performance Benchmarking Chronic fatigue syndrome Classification CNN College students Coronaviruses COVID-19 Deep learning Education Health aspects Humans joint facial representation Machine learning Medical research Metal fatigue Mouth MPA Myopia Neural networks Observational studies online fatigue detection Pandemics Questionnaires Research methodology Students Surveys and Questionnaires video-based online fatigue detection United States China New Jersey Germany CNN joint facial representation online fatigue detection video-based online fatigue detection MPA
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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