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

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.
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Contributor : Christian Muehl Connect in order to contact the contributor
Submitted on : Monday, August 11, 2014 - 1:12:44 PM
Last modification on : Wednesday, November 30, 2022 - 11:22:07 AM



Christian Muehl, Brendan Allison, Anton Nijholt, Guillaume Chanel. A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges. Brain-Computer Interfaces, 2014, Special Issue: Affective Brain-Computer Interfaces, 1 (2), ⟨10.1080/2326263X.2014.912881⟩. ⟨hal-01055084⟩



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