DocumentCode :
2882888
Title :
Motion modeling and search method based on hidden Markov model for motion database
Author :
Ohnishi, Yoshihiro ; Katsura, Seiichiro
Author_Institution :
Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan
fYear :
2011
fDate :
7-10 Nov. 2011
Firstpage :
4232
Lastpage :
4237
Abstract :
In order to address the problem such as aging of workers and craftsmen, `motion database´ is considered to be important. Conventionally, motion capture or acceleration sensor is generally used for motion modeling. However, these methods can not get force information, which is important factor for motion modeling. In this research, motion search method based on hidden Markov model is proposed in order to make the `motion database´ practical. In the motion modeling, force information is obtained using motion copying system. Because the force information is include in the model, more developed motion database is expected. In addition, motion search becomes possible by using hidden Markov model. The validity of proposed method is confirmed by experiment.
Keywords :
acceleration measurement; hidden Markov models; human-robot interaction; sensors; service robots; solid modelling; force information; hidden Markov model; motion copying system; motion database; motion modeling; motion search method; Databases; Force; Hidden Markov models; Humans; Robots; Trajectory; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
ISSN :
1553-572X
Print_ISBN :
978-1-61284-969-0
Type :
conf
DOI :
10.1109/IECON.2011.6120003
Filename :
6120003
Link To Document :
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