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.
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© 2004 Springer-Verlag Berlin Heidelberg
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Matsuyama, Y. et al. (2004). Towards the Unification of Human Movement, Animation and Humanoid in the Network. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_176
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DOI: https://doi.org/10.1007/978-3-540-30499-9_176
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23931-4
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