Physiological signals can be used to differentiate emotional states based on arousal and valence to improve human-computer interaction for consumer electronics.
The study focuses on using physiological signals to differentiate emotional states to improve human-computer interaction in consumer electronics.
Emotions pervade in peoplepsilas daily lives. Recently, there is a trend of adding emotional characteristics as new features to electronic devices in order to provide more natural and intelligent interaction with human. Affective computing, a concept that combines computer science with psychology and cognitive science was brought forward to support the idea of making machines aware of humanpsilas affective states. This study focuses on differentiating peoplepsilas emotional states based on arousal and valence using physiological signals with the aim to improve human computer interaction for next generation consumer electronic devices.
Gu et al. (Tue,) reported a other. Emotion-aware technologies using physiological signals was evaluated on Differentiating emotional states based on arousal and valence. Physiological signals can be used to differentiate emotional states based on arousal and valence to improve human-computer interaction for consumer electronics.
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