Emotion assessment for affective computing based on physiological responses
作者： Hamza Hamdi , Paul Richard , Aymeric Suteau , Philippe Allain
DOI: 10.1109/FUZZ-IEEE.2012.6250778
关键词: Biofeedback 、 Affective computing 、 Software agent 、 Headphones 、 Cognitive psychology 、 Psychology 、 Interface (computing) 、 Facial expression 、 Embodied cognition 、 Brain–computer interface 、 Speech recognition
摘要: Information about a user's emotional state is very important aspect of affective interaction with embodied conversational agents. Most research work aims at identifying emotions through speech or facial expressions. However, expressions and are not continuously available. Furthermore, in some cases, bio-signal data also required order to fully assess state. We aimed recognize the six, basic, primary proposed by Ekman, using widely-available low-cost brain-computer interface (BCI) biofeedback sensor that measures heart rate. exposed participants sets 10 IAPS images had been partially validated subjective rating protocol. Results showed collected signals allowed us In addition, partial correlation between objective can be observed.
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