Abstract
| Original language | Undefined |
|---|---|
| Title of host publication | Oxford Handbook of Affective Computing |
| Editors | Rafael Calvo, Sidney K. D'Mello, Jonathan Gratch, Arvid Kappas |
| Place of Publication | Oxford |
| Publisher | Oxford University Press |
| Pages | 217-232 |
| Number of pages | 16 |
| ISBN (Print) | 978-0-19937-347-5 |
| DOIs | |
| Publication status | Published - Jan 2015 |
Publication series
| Name | |
|---|---|
| Publisher | Oxford University Press |
Keywords
- IR-92423
- METIS-309544
- Neurophysiology
- Brain-Computer Interfaces
- EWI-22213
- Emotion
- HMI-MI: MULTIMODAL INTERACTIONS
- HMI-HF: Human Factors
- affective state
Cite this
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Affective brain-computer interfaces: neuroscientific approaches to affect detection. / Mühl, C.; Heylen, Dirk K.J.; Nijholt, Antinus.
Oxford Handbook of Affective Computing. ed. / Rafael Calvo; Sidney K. D'Mello; Jonathan Gratch; Arvid Kappas. Oxford : Oxford University Press, 2015. p. 217-232.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
TY - CHAP
T1 - Affective brain-computer interfaces: neuroscientific approaches to affect detection
AU - Mühl, C.
AU - Heylen, Dirk K.J.
AU - Nijholt, Antinus
N1 - 10.1093/oxfordhb/9780199942237.013.024
PY - 2015/1
Y1 - 2015/1
N2 - The brain is involved in the registration, evaluation, and representation of emotional events and in the subsequent planning and execution of appropriate actions. Novel interface technologies—so-called affective brain-computer interfaces (aBCI)—can use this rich neural information, occurring in response to affective stimulation, for the detection of the user’s affective state. This chapter gives an overview of the promises and challenges that arise from the possibility of neurophysiology-based affect detection, with a special focus on electrophysiological signals. After outlining the potential of aBCI relative to other sensing modalities, the reader is introduced to the neurophysiological and neurotechnological background of this interface technology. Potential application scenarios are situated in a general framework of brain-computer interfaces. Finally, the main scientific and technological challenges that have yet to be solved on the way toward reliable affective brain-computer interfaces are discussed.
AB - The brain is involved in the registration, evaluation, and representation of emotional events and in the subsequent planning and execution of appropriate actions. Novel interface technologies—so-called affective brain-computer interfaces (aBCI)—can use this rich neural information, occurring in response to affective stimulation, for the detection of the user’s affective state. This chapter gives an overview of the promises and challenges that arise from the possibility of neurophysiology-based affect detection, with a special focus on electrophysiological signals. After outlining the potential of aBCI relative to other sensing modalities, the reader is introduced to the neurophysiological and neurotechnological background of this interface technology. Potential application scenarios are situated in a general framework of brain-computer interfaces. Finally, the main scientific and technological challenges that have yet to be solved on the way toward reliable affective brain-computer interfaces are discussed.
KW - IR-92423
KW - METIS-309544
KW - Neurophysiology
KW - Brain-Computer Interfaces
KW - EWI-22213
KW - Emotion
KW - HMI-MI: MULTIMODAL INTERACTIONS
KW - HMI-HF: Human Factors
KW - affective state
U2 - 10.1093/oxfordhb/9780199942237.013.024
DO - 10.1093/oxfordhb/9780199942237.013.024
M3 - Chapter
SN - 978-0-19937-347-5
SP - 217
EP - 232
BT - Oxford Handbook of Affective Computing
A2 - Calvo, Rafael
A2 - D'Mello, Sidney K.
A2 - Gratch, Jonathan
A2 - Kappas, Arvid
PB - Oxford University Press
CY - Oxford
ER -