Soft Computing Based Emotion/Intention Reading for Service Robot

Authors:
Z. Zenn Bien;Jung-Bae Kim;Dae-Jin Kim;Jeong-Su Han;Jun-Hyeong Do
Affiliations:
-;-;-;-;-
Venue:
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
Year:
2002

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Abstract

Due to its tolerance to imprecision, uncertainty and partial truth, the soft computing technique deals well with human related signals such as voice, gesture, facial expression, bio-signal, etc. In this paper, we propose architecture of soft computing based recognition for a class of biosign. Especially, the problem of inferring emotion and intention reading from such recognition is considered with applications for service robots that interact with human. It is shown that proposed architecture renders good performance in a few experimental systems for rehabilitation.