DocumentCode :
3448158
Title :
Human skill analysis based on multisensory data
Author :
Sato, D. ; Yamada, S. ; Uchiyama, M.
Author_Institution :
Dept. of Aeron. & Space Eng., Tohoku Univ., Sendai, Japan
fYear :
1997
fDate :
29 Sep-1 Oct 1997
Firstpage :
278
Lastpage :
283
Abstract :
In this paper, we report our approach to determine the essential features of human physical skills and the possibility for transferring them to robots. We focus on two tasks: crank rotation and side matching. The human skills are experimentally analyzed by measuring the hand position and force in the execution of these tasks using a vision tracking system and six-axis force/torque sensors. In the experiments, we obtained data under various conditions, such as both using and not using a blinder. Relevant data analysis for characterizing the human skills is presented
Keywords :
biomechanics; computer vision; man-machine systems; optical tracking; sensors; crank rotation; force sensors; human skill analysis; multisensory data; side matching; skill transfer; torque sensors; vision tracking system; Data analysis; Force measurement; Force sensors; Humans; Machine vision; Position measurement; Robot sensing systems; Sensor phenomena and characterization; Sensor systems; Torque measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robot and Human Communication, 1997. RO-MAN '97. Proceedings., 6th IEEE International Workshop on
Conference_Location :
Sendai
Print_ISBN :
0-7803-4076-0
Type :
conf
DOI :
10.1109/ROMAN.1997.646995
Filename :
646995
Link To Document :
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