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Proceedings Paper

Hand motion recovery based on skin color segments and motion parameter estimation
Author(s): Samuel H. Chang; Les Elkins; ZhaoYang Wang; Tong Zhou; Seat Foo; Andrei Tchoyprakov; J. Joseph Fuller
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Paper Abstract

The problem of tracking the motion of a functional, electrically controlled hand is addressed in this paper. We show that by using skin color and hand segments, the motion of a human hand controlled by a functional electrical stimulation (FES) system can be recovered and predicted. The hand motion tracking and prediction information can then be used as feedback in a closed loop control system to improve the control of the hand motion. We show how skin color tracking can be used to segment the human hand regions and how the hand segments can be used to identify the hand moving positions and how the changes of hand segments between two frames can be used to track the hand orientations. We then show how the hand motion can be recovered based on the changes of the hand positions and orientations and how the motion can be simulated and predicted. The tracking and motion identification methods are verified by the presentation of experimental results obtained using the methods described in the paper.

Paper Details

Date Published: 12 April 2004
PDF: 10 pages
Proc. SPIE 5437, Optical Pattern Recognition XV, (12 April 2004); doi: 10.1117/12.542668
Show Author Affiliations
Samuel H. Chang, Spatial Integrated Systems, Inc. (United States)
Les Elkins, Spatial Integrated Systems, Inc. (United States)
ZhaoYang Wang, Spatial Integrated Systems, Inc. (United States)
Tong Zhou, Spatial Integrated Systems, Inc. (United States)
Seat Foo, Spatial Integrated Systems, Inc. (United States)
Andrei Tchoyprakov, Spatial Integrated Systems, Inc. (United States)
J. Joseph Fuller, Spatial Integrated Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 5437:
Optical Pattern Recognition XV
David P. Casasent; Tien-Hsin Chao, Editor(s)

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