Teleoperation continues to be a primary control mode in robotics appli
cations, particularly for robots with complex hands, This paper detail
s a novel method of teleoperation of complex anthropomorphic robotic h
ands: converting the myoelectric signal (generated by the operator's m
uscles during movement) into robot commands replicating the motion, My
oelectric prosthetic hands have used this user interface for over two
decades; however, the feasibility of using this approach for commandin
g more than one degree-of-freedom, as in the pincher type grip in curr
ent 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, dat
a collection apparatus, and a realtime teleoperation implementation, W
e also present results in realtime discrimination of key and chuck gra
sps and offline discrimination of thumb motions, Our results include a
90% correct grasp selection rate and an 87% correct thumb motion sele
ction, both using the myoelectric spectrum.