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A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges

Mühl, Christian
Allison, Brendan
Nijholt, Anton
Published in Brain-Computer Interfaces. 2014, vol. 1, no. 2, p. 66-84
Abstract Affective states, moods and emotions, are an integral part of human nature: they shape our thoughts, govern the behavior of the individual, and influence our interpersonal relationships. The last decades have seen a growing interest in the automatic detection of such states from voice, facial expression, and physiological signals, primarily with the goal of enhancing human-computer interaction with an affective component. With the advent of brain-computer interface research, the idea of affective brain-computer interfaces (aBCI), enabling affect detection from brain signals, arose. In this article, we set out to survey the field of neurophysiology-based affect detection. We outline possible applications of aBCI in a general taxonomy of brain-computer interface approaches and introduce the core concepts of affect and their neurophysiological fundamentals. We show that there is a growing body of literature that evidences the capabilities, but also the limitations and challenges of affect detection from neurophysiological activity.
Keywords Brain computer interfacesAffectEmotionsMoodsEEGfNIRS
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Research groups Affective sciences
Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
(ISO format)
MÜHL, Christian et al. A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges. In: Brain-Computer Interfaces, 2014, vol. 1, n° 2, p. 66-84. doi: 10.1080/2326263X.2014.912881 https://archive-ouverte.unige.ch/unige:44680

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Deposited on : 2015-01-07

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