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.
Cite
CITATION STYLE
Bien, Z. Z., Kim, J. B., Kim, D. J., Han, J. S., & Do, J. H. (2002). Soft computing based emotion/intention reading for service robot. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2275, pp. 121–128). Springer Verlag. https://doi.org/10.1007/3-540-45631-7_17
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