DocumentCode :
2334368
Title :
Grasp recognition and manipulative motion characterization from human hand motion sequences
Author :
Kang, Sing Bing ; Ikeuchi, Katsushi
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
1994
fDate :
8-13 May 1994
Firstpage :
1759
Abstract :
We are developing a system capable of observing a human performing a task and understanding the task well enough to replicate it. This approach is called Assembly Plan from Observation. In order to replicate the observed task, we have to analyze the entire sequence. This can be done by first segmenting the task sequence into its constituent pre-grasp, grasp, and manipulation phases. This paper describes the different analyses that can be done subsequent to the temporal segmentation. These include human grasp recognition, extraction of object motion, and the spatiofrequency (spectrogram) analysis of the manipulation phase
Keywords :
feature extraction; image segmentation; manipulators; motion estimation; robot programming; spectral analysis; CCD camera; assembly plan from observation; grasp recognition; human grasp recognition; human hand motion sequences; human performance; manipulative motion characterization; object motion extraction; spatiofrequency analysis; spectrogram; task sequence segmentation; temporal segmentation; Assembly systems; Automatic programming; Character recognition; Humans; Motion analysis; Path planning; Performance analysis; Robot programming; Robotic assembly; Spectrogram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-5330-2
Type :
conf
DOI :
10.1109/ROBOT.1994.351338
Filename :
351338
Link To Document :
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