Scientific article

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

Published inBrain computer interfaces, vol. 1, no. 2, p. 66-84
Publication date2014

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.

  • Brain computer interfaces
  • Affect
  • Emotions
  • Moods
  • EEG
  • fNIRS
Citation (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
Main files (1)
Article (Published version)
ISSN of the journal2326-2621

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