Myoelectric Teleoperation of a Complex Robotic Hand

Files in this item

Files Size Format View
Far1996Aug1Myoelectri.PDF 1.656Mb application/pdf Thumbnail

Show full item record

Item Metadata

Title: Myoelectric Teleoperation of a Complex Robotic Hand
Author: Farry, Kristin A; Walker, Ian D; Baraniuk, Richard G.
Type: Journal article
xmlui.Rice_ECE.Keywords: time frequency
Citation: K. A. Farry, I. D. Walker and R. G. Baraniuk, "Myoelectric Teleoperation of a Complex Robotic Hand," IEEE Transactions on Robotics and Automation, vol. 12, no. 4, pp. 775-788, 1996.
Abstract: Teleoperation continues to be a primary control mode in robotics applications, particularly for robots with complex hands. This paper details a novel method of teleoperation of complex anthropomorphic robotic hands: converting the myoelectric signal (generated by the operator's muscles during movement) into robot commands replicating the motion. Myoelectric prosthetic hands have used this user interface for over two decades; however, the feasibility of using this approach for commanding more than one degree-of-freedom, as in the pincher type grip in current myoelectric hands, has been in question. The research described in this paper addresses myoelectric control of NASA/Johnson Space Center's sixteen degree-of-freedom Utah/MIT Dextrous Hand for two grasping (key and chuck) options and three thumb motions (abduction, extension, and flexion). We discuss myoelectric signal processing approaches, data collection apparatus, and a realtime teleoperation implementation. We also present results in realtime discrimination of key and chuck grasps and offline discrimination of thumb motions. Our results include a 90% correct grasp selection rate and an 87% correct thumb motion selection, both using the myoelectric spectrum.
Date Published: 1996-10-01

This item appears in the following Collection(s)

  • ECE Publications [1053 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.