Presentation 2003/10/17
Proto-Symbol Development and Manipulation in the Geometry of Stochastic Model for Motion Generation and Recognition
Tetsunari INAMURA, Hiroaki TANIE, Yoshihiko NAKAMURA,
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Abstract(in English) Humans' primitive skill of imitative learning is regarded as an origin of human intelligence because it is said that imitation is fundamental function for communication and symbol manipulation. He have proposed "mimesis model" in order to approach to a symbol emergence framework from behavior recognition/generation for humanoid robots. In this paper, we propose a mathematical model for motion recognition and generation as combination of basic motions by proto-symbol manipulation which is abstract expression of motion patterns. In order to describe the proto-symbol manipulation as geometric manipulation, construction of proto-symbol space and geometric proto-symbol manipulation method are established.
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Keyword(in English) Hidden Markov Model / Proto-Symbol / Symbol Emergence / Imitation Learning
Paper # PRMU2003-134,NC2003-65
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Committee PRMU
Conference Date 2003/10/17(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proto-Symbol Development and Manipulation in the Geometry of Stochastic Model for Motion Generation and Recognition
Sub Title (in English)
Keyword(1) Hidden Markov Model
Keyword(2) Proto-Symbol
Keyword(3) Symbol Emergence
Keyword(4) Imitation Learning
1st Author's Name Tetsunari INAMURA
1st Author's Affiliation Graduate School of Information Science and Technology, Univ. of Tokyo()
2nd Author's Name Hiroaki TANIE
2nd Author's Affiliation Graduate School of Information Science and Technology, Univ. of Tokyo
3rd Author's Name Yoshihiko NAKAMURA
3rd Author's Affiliation Graduate School of Information Science and Technology, Univ. of Tokyo
Date 2003/10/17
Paper # PRMU2003-134,NC2003-65
Volume (vol) vol.103
Number (no) 390
Page pp.pp.-
#Pages 6
Date of Issue