Abstract
A construction method and a refinement method of fuzzy knowledge are proposed in order to apply them to intelligent multi-modal interfaces. This paper supposes that the interface requires the following three functions at least. 1) A function that constructs knowledge using instances instead of if-then rules. 2) A function that transforms mutually between the upper conceptual label represented by words and the lower conceptual label represented by physical values in order to realize multi-modality. 3) A function that refines the knowledge using macro qualitative instruction such as a human learning process. This paper proposes the methods using Fuzzy Associative Memory Organizing Units System (FAMOUS) in order to realize these functions and applies them to estimation of human movements. Experimental results show that the proposed methods provide the three functions and are suitable for application to intelligent multi-modal interfaces.
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© 1995 Springer-Verlag Berlin Heidelberg
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Ushida, H., Sato, T., Yamaguchi, T., Takagi, T. (1995). Fuzzy associative memory system and its application to multi-modal interface. In: Furuhashi, T. (eds) Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms. WWW 1994. Lecture Notes in Computer Science, vol 1011. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60607-6_1
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DOI: https://doi.org/10.1007/3-540-60607-6_1
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