Towards the unification of human movement, animation and humanoid in the network

Yasuo Matsuyama; Satoshi Yoshinaga; Hirofumi Okuda; Keisuke Fukumoto; Satoshi Nagatsuma; Kazuya Tanikawa; Hiroto Hakui; Ryusuke Okuhara; Naoto Katsumata

Towards the unification of human movement, animation and humanoid in the network

Yasuo Matsuyama^*, Satoshi Yoshinaga, Hirofumi Okuda, Keisuke Fukumoto, Satoshi Nagatsuma, Kazuya Tanikawa, Hiroto Hakui, Ryusuke Okuhara, Naoto Katsumata

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

A network environment that unifies the human movement, animation and humanoid is generated. Since the degrees of freedom are different among these entities, raw human movements are recognized and labeled using the hidden Markov model. This is a class of gesture recognition which extracts necessary information transmitted to the animation software and to the humanoid. The total environment enables the surrogate of the human movement by the animation character and the humanoid. Thus, the humanoid can work as a moving computer acting as a remotely located human in the ubiquitous computing environment.

Original language	English
Pages (from-to)	1135-1141
Number of pages	7
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3316
Publication status	Published - 2004

ASJC Scopus subject areas

Computer Science(all)
Biochemistry, Genetics and Molecular Biology(all)
Theoretical Computer Science

Cite this

Towards the unification of human movement, animation and humanoid in the network. / Matsuyama, Yasuo; Yoshinaga, Satoshi; Okuda, Hirofumi et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3316, 2004, p. 1135-1141.

Research output: Contribution to journal › Article › peer-review

@article{f8cff5c85dc0495583cb6e5b3ad42dda,

title = "Towards the unification of human movement, animation and humanoid in the network",

abstract = "A network environment that unifies the human movement, animation and humanoid is generated. Since the degrees of freedom are different among these entities, raw human movements are recognized and labeled using the hidden Markov model. This is a class of gesture recognition which extracts necessary information transmitted to the animation software and to the humanoid. The total environment enables the surrogate of the human movement by the animation character and the humanoid. Thus, the humanoid can work as a moving computer acting as a remotely located human in the ubiquitous computing environment.",

author = "Yasuo Matsuyama and Satoshi Yoshinaga and Hirofumi Okuda and Keisuke Fukumoto and Satoshi Nagatsuma and Kazuya Tanikawa and Hiroto Hakui and Ryusuke Okuhara and Naoto Katsumata",

year = "2004",

language = "English",

volume = "3316",

pages = "1135--1141",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer Verlag",

}

TY - JOUR

T1 - Towards the unification of human movement, animation and humanoid in the network

AU - Matsuyama, Yasuo

AU - Yoshinaga, Satoshi

AU - Okuda, Hirofumi

AU - Fukumoto, Keisuke

AU - Nagatsuma, Satoshi

AU - Tanikawa, Kazuya

AU - Hakui, Hiroto

AU - Okuhara, Ryusuke

AU - Katsumata, Naoto

PY - 2004

Y1 - 2004

N2 - A network environment that unifies the human movement, animation and humanoid is generated. Since the degrees of freedom are different among these entities, raw human movements are recognized and labeled using the hidden Markov model. This is a class of gesture recognition which extracts necessary information transmitted to the animation software and to the humanoid. The total environment enables the surrogate of the human movement by the animation character and the humanoid. Thus, the humanoid can work as a moving computer acting as a remotely located human in the ubiquitous computing environment.

AB - A network environment that unifies the human movement, animation and humanoid is generated. Since the degrees of freedom are different among these entities, raw human movements are recognized and labeled using the hidden Markov model. This is a class of gesture recognition which extracts necessary information transmitted to the animation software and to the humanoid. The total environment enables the surrogate of the human movement by the animation character and the humanoid. Thus, the humanoid can work as a moving computer acting as a remotely located human in the ubiquitous computing environment.

UR - http://www.scopus.com/inward/record.url?scp=33847159923&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33847159923&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:33847159923

SN - 0302-9743

VL - 3316

SP - 1135

EP - 1141

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Towards the unification of human movement, animation and humanoid in the network

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this