Organization of behavioral knowledge from extraction of temporal-spatial features of human whole body motions

Wataru Takano, Hirotaka Imagawa, Dana Kulić, Yoshihiko Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)

Abstract

This paper describes an approach to structuring behavioral knowledge based on classification of human whole body motions and extraction of the behavioral transitions. The motion patterns are learned by Hidden Markov Models (HMMs), which can be used for classification of the motion patterns. The HMMs are called "motion symbol" since They abstract their corresponding motion patterns. The motion patterns are organized into a hierarchical tree structure ("motion symbol tree") representing the property of similarity among the motion patterns. The motion patterns are classified based on the motion symbol tree. Concatenated sequences of motion patterns are stochastically represented as transitions between the abstracted motion patterns by using an N-gram Model ("motion symbol graph"), and the transitional relationships of the human behaviors are extracted. The integration of the motion symbol tree and the motion symbol graph makes it possible to recognize motion patterns fast and predict human behavior during observation. The experiments on a large motion dataset validate the proposed framework.

Original languageEnglish
Title of host publication2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages52-57
Number of pages6
ISBN (Print)9781424477081
DOIs
Publication statusPublished - 27 Dec 2010
Externally publishedYes
Event2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010 - Tokyo, Japan
Duration: 26 Sep 201029 Sep 2010

Publication series

Name2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010

Conference

Conference2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010
CountryJapan
CityTokyo
Period26/09/1029/09/10

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