Machine Learning based Drowsiness Detection in Classrooms

The Major objective of this proposed work is to detect the mood swings of face and drowsiness especially in schools and graduate levels. This work is supported by the machine learning and various studies on existing methods of drowsiness detection suggested the impact of artificial intelligence in i...

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Veröffentlicht in:	2022 International Conference on Edge Computing and Applications (ICECAA) S. 1186 - 1191
Hauptverfasser:	R, Dinesh Kumar J, N, Harish, K, Priyadharsini, S, Gowtham, Gokulraj, Gokulraj
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 13.10.2022
Schlagworte:	Computational modeling Drowsiness Detection Face recognition Haar Cascade algorithm Machine Learning Machine learning algorithms Mood OpenCV Radio frequency Support vector machines XML
Online-Zugang:	Volltext
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