Attention Recognition in EEG-Based Affective Learning Research Using CFS+KNN Algorithm

The research detailed in this paper focuses on the processing of Electroencephalography (EEG) data to identify attention during the learning process. The identification of affect using our procedures is integrated into a simulated distance learning system that provides feedback to the user with resp...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics 2018-01, Vol.15 (1), p.38-45
Hauptverfasser:	Bin Hu, Xiaowei Li, Shuting Sun, Ratcliffe, Martyn
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Algorithms Attention - physiology Attention recognition Brain models CFS EEG Electroencephalography Electroencephalography - methods Emotion recognition Feature extraction Female Humans KNN Male Models, Statistical Pattern Recognition, Automated Signal processing algorithms Signal Processing, Computer-Assisted Young Adult
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