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
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