A study of synthesizing new human motions from sampled motions using Tensor Decomposition

Rovshan Kalanov, Jieun Cho, Jun Ohya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper applies an algorithm, based on Tensor Decomposition, to a new synthesis application: by using sampled motions of people of different ages under different emotional states, new motions for other people are synthesized. Human motion is the composite consequence of multiple elements, including the action performed and a motion signature that captures the distinctive pattern of movement of a particular individual. By performing decomposition, based on N-mode SVD (singular value decomposition), the algorithm analyzes motion data spanning multiple subjects performing different actions to extract these motion elements. The analysis yields a generative motion model that can synthesize new motions in the distinctive styles of these individuals. The effectiveness of applying the tensor decomposition approach to our purpose was confirmed by synthesizing novel walking motions for a person by using the extracted signature.

Original languageEnglish
Title of host publicationIEEE International Conference on Multimedia and Expo, ICME 2005
Pages1326-1329
Number of pages4
DOIs
Publication statusPublished - 2005 Dec 1
EventIEEE International Conference on Multimedia and Expo, ICME 2005 - Amsterdam, Netherlands
Duration: 2005 Jul 62005 Jul 8

Publication series

NameIEEE International Conference on Multimedia and Expo, ICME 2005
Volume2005

Conference

ConferenceIEEE International Conference on Multimedia and Expo, ICME 2005
CountryNetherlands
CityAmsterdam
Period05/7/605/7/8

ASJC Scopus subject areas

  • Engineering(all)

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    Kalanov, R., Cho, J., & Ohya, J. (2005). A study of synthesizing new human motions from sampled motions using Tensor Decomposition. In IEEE International Conference on Multimedia and Expo, ICME 2005 (pp. 1326-1329). [1521674] (IEEE International Conference on Multimedia and Expo, ICME 2005; Vol. 2005). https://doi.org/10.1109/ICME.2005.1521674