This paper proposes a method for the detection of emotion-relevant activities performed when seated and its corresponding system based on wrist-worn inertial sensors combined with a pressure detection smart cushion. In particular, aiming at providing an additional source of information in traditional emotion Recognition systems, we focus on shame-, fear-, and joy-related activities. Experiments are conducted and the results of performance evaluation show the proposed method achieves high Recognition accuracy with a set obtained by fusing time-and frequency-domain features extracted from the different available sensors.

Posture and Gesture Analysis Supporting Emotional Activity Recognition

Gravina, Raffaele
;
Fortino, Giancarlo
2019

Abstract

This paper proposes a method for the detection of emotion-relevant activities performed when seated and its corresponding system based on wrist-worn inertial sensors combined with a pressure detection smart cushion. In particular, aiming at providing an additional source of information in traditional emotion Recognition systems, we focus on shame-, fear-, and joy-related activities. Experiments are conducted and the results of performance evaluation show the proposed method achieves high Recognition accuracy with a set obtained by fusing time-and frequency-domain features extracted from the different available sensors.
9781538666500
Information Systems; Information Systems and Management; Health Informatics; Artificial Intelligence; Computer Networks and Communications; Human-Computer Interaction
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11770/289754
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