An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data

In recent years, affective computing has been actively researched to provide a higher level of emotion-awareness. Numerous studies have been conducted to detect the user’s emotions from physiological data. Among a myriad of target emotions, boredom, in particular, has been suggested to cause n...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Jungryul Seo, Teemu H. Laine, Kyung-Ah Sohn
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2019-10-01
Sarja:	Sensors
Aiheet:	boredom machine learning emotion eeg gsr classification sensor
Linkit:	https://www.mdpi.com/1424-8220/19/20/4561
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