Article (Published version) (408 Kb) - 
Limited access to UNIGE
Highlights
More informations
Home
Titles listA survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
Titles listA survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
Scientific Article
unige:44680 
 |
A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges |
|
| Authors | ||
| 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 interfaces — Affect — Emotions — Moods — EEG — fNIRS | |
| Identifiers | ||
| Full text | ||
| Structures | ||
| Research groups | Affective sciences Computer Vision and Multimedia Laboratory Multimodal Interaction Group | |
| 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. https://archive-ouverte.unige.ch/unige:44680 |
259 hits 
0 download 
Contact an author
Update