Attention Span Prediction Using Head-Pose Estimation With Deep Neural Networks

Automated human pose estimation is evolving as an exciting research area in human activity detection. It includes sophisticated applications such as malpractice detection in the examination, distracted driving, gesture detection, etc., and requires robust and reliable pose estimation techniques. The...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.142632-142643
Hauptverfasser:	Singh, Tripti, Mohadikar, Mohan, Gite, Shilpa, Patil, Shruti, Pradhan, Biswajeet, Alamri, Abdullah
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Attention attention span prediction convolutional neural network Convolutional neural networks CPAM Data processing Datasets Experimentation Faces Head Head pose estimation Human motion Machine learning Magnetic heads Malpractice Mental health Neural networks Pose estimation Regression Three-dimensional displays Training
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