DocumentCode :
612528
Title :
Understanding the role of haptic feedback in a teleoperated/prosthetic grasp and lift task
Author :
Brown, J. David ; Paek, A. ; Syed, M. ; O´Malley, Marcia K. ; Shewokis, P.A. ; Contreras-Vidal, Jose L. ; Davis, A.J. ; Gillespie, R.B.
Author_Institution :
Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2013
fDate :
14-17 April 2013
Firstpage :
271
Lastpage :
276
Abstract :
Achieving dexterous volitional control of an upper-limb prosthetic device will require multimodal sensory feedback that goes beyond vision. Haptic display is well-positioned to provide this additional sensory information. Haptic display, however, includes a diverse set of modalities that encode information differently. We have begun to make a comparison between two of these modalities, force feedback spanning the elbow, and amplitude-modulated vibrotactile feedback, based on performance in a functional grasp and lift task. In randomly ordered trials, we assessed the performance of N=11 participants (8 able-bodied, 3 amputee) attempting to grasp and lift an object using an EMG controlled gripper under three feedback conditions (no feedback, vibrotactile feedback, and force feed-back), and two object weights that were undetectable by vision. Preliminary results indicate differences between able-bodied and amputee participants in coordination of grasp and lift forces. In addition, both force feedback and vibrotactile feedback contribute to significantly better task performance (fewer slips) and better adaptation following an unpredicted weight change. This suggests that the development and utilization of internal models for predictive control is more intuitive in the presence of haptic feedback.
Keywords :
dexterous manipulators; electromyography; force feedback; grippers; haptic interfaces; human-robot interaction; medical signal processing; predictive control; prosthetics; telerobotics; EMG controlled gripper; able-bodied participants; amplitude-modulated vibrotactile feedback; amputee participants; dexterous volitional control; elbow; feedback condition; force feedback; functional grasp task performance; grasp force; haptic display; haptic feedback task; information encoding; lift force; lift task; multimodal sensory feedback; predictive control; prosthetic grasp task; sensory information; teleoperated grasp task; upper-limb prosthetic device; weight change; Educational institutions; Elbow; Force; Force feedback; Grippers; Prosthetics; grasp and lift; human-machine interface; prosthetics; sensory substitution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Haptics Conference (WHC), 2013
Conference_Location :
Daejeon
Print_ISBN :
978-1-4799-0087-9
Type :
conf
DOI :
10.1109/WHC.2013.6548420
Filename :
6548420
Link To Document :
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