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SOFTWARE UNDERACTUACTION FOR REDUCED INPUT CONTROL OF LARGE DEGREE OF FREEDOM STRUCTURES: DEVELOPMENT OF A HAND CONTROL STRATEGY FOR ADVANCED UPPER EXTREMITY PROSTHETICS

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Date
2008
Authors
Kuniholm, J.
Clark, R.L.
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Abstract
Pattern recognition strategies have been explored for prosthetic hand control for over 20 years, but have not been commercially implemented. [1] Articulated research hands now rival human hand articulation, presenting new control challenges. Because no methods of pro- cessing signals of any source (cortical, peripheral nerve or myoelectric) are currently capable of delivering joint angle intent, the information content of user intent must be expanded. Control information for the 15 to 20 joints of a highly articulated hand must be derived from a single variable of grasp information. Two strategies are proposed for augmenting intent to control these hands. First, an array of grasp endpoints composed of the joint angles desired is created for each grasp, and the linear path to the desired endpoint constantly updated. Finger collisions are supervised by the user. Second, a larger set of grasp control parameters are explored. Using additional parameters allows more precise control of the arrangement of the ngers than whole hand grasps, a greater degree of intuitive control over the arrangement of the ngers, and the possibility of dextrous manipulation.
Type
Other article
Subject
hand control
Permalink
https://hdl.handle.net/10161/2789
Citation
Proceedings of the MEC’08 conference, UNB; 2008.
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  • MEC Symposium Conference Proceedings
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Copyright 2002, 2005 and 2008, The University of New Brunswick.

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License. Creative Commons License

Rights for Collection: MEC Symposium Conference Proceedings


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