Affect recognition in muscular response signals

This study investigated the potential of recognising arousal in motor activity collected by wrist-worn accelerometers. We hypothesise that emotional arousal emerges from the generalised central nervous system which embeds affective states within motor activity. We formulate arousal detection as a st...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Boeker, Matthias, Jakobsen, Petter, Riegler, Michael A., Stabell, Lena Antonsen, Fasmer, Ole Bernt, Halvorsen, Pal, Hammer, Hugo Lewi
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometers Affect recognition Arousal Central nervous system Classifiers Correlation coefficients emotion detection hypothesis testing Machine learning motor activity soccer Statistical power time series analysis Wrist
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