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Evaluating multimodal affective fusion using physiological signals
Stephen W. Gilroy
, Marc O. Cavazza
, Valentin Vervondel
SCEDT School Executive Team
Research output
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Contribution to conference
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Paper
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peer-review
382
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Keyphrases
Multimodal Fusion
100%
Physiological Signals
100%
Fusion Approach
66%
Arousal
33%
Emotional State
33%
Response Signal
33%
Surface Electromyography (sEMG)
33%
Emotion Representation
33%
Evaluation Use
33%
Positive Evaluation
33%
Physiological Indicators
33%
Continuous Values
33%
Time-continuous
33%
Emotion Dimensions
33%
Reference Measure
33%
Galvanic Skin Response
33%
Medicine and Dentistry
Electromyography
100%
Electrodermal Response
100%
K-Complex
100%
Psychology
Continuous Time
100%
Electromyography
100%
Computer Science
Galvanic Skin Response
50%