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 journalArticlepeer-review

    4 Citations (Scopus)


    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 languageEnglish
    Pages (from-to)1135-1141
    Number of pages7
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Publication statusPublished - 2004

    ASJC Scopus subject areas

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


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