Title :
Slip Speed Feedback for Grip Force Control
Author :
Damian, Dana D. ; Arita, A.H. ; Martinez, Harold ; Pfeifer, Rolf
Author_Institution :
Dept. of Inf., Univ. of Zurich, Zurich, Switzerland
Abstract :
Grasp stability in the human hand has been resolved by means of an intricate network of mechanoreceptors integrating numerous cues about mechanical events, through an ontogenetic grasp practice. An engineered prosthetic interface introduces considerable perturbation risks in grasping, calling for feedback modalities that address the underlying slip phenomenon. In this study, we propose an enhanced slip feedback modality, with potential for myoelectric-based prosthetic applications, that relays information regarding slip events, particularly slip occurrence and slip speed. The proposed feedback modality, implemented using electrotactile stimulation, was evaluated in psychophysical studies of slip control in a simplified setup. The obtained results were compared with vision and a binary slip feedback that transmits on-off information about slip detection. The slip control efficiency of the slip speed display is comparable to that obtained with vision feedback, and it clearly outperforms the efficiency of the on-off slip modality in such tasks. These results suggest that the proposed tactile feedback is a promising sensory method for the restoration of stable grasp in prosthetic applications.
Keywords :
biomechanics; electromyography; force control; medical control systems; prosthetics; slip; touch (physiological); binary slip feedback; electromyographic-based prosthesis; electrotactile stimulation; engineered prosthetic interface; grasp stability; grip force control; human hand; mechanoreceptors; myoelectric-based prosthetics; on-off slip modality; ontogenetic grasp practice; slip speed feedback; vision slip feedback; Electromyography; Force; Muscles; Prosthetics; Robot sensing systems; Vibrations; Visualization; Electrical stimulation; grasp stability; slip speed feedback; Adult; Artificial Limbs; Electric Stimulation; Electromyography; Feedback, Sensory; Hand; Hand Strength; Humans; Neurofeedback; Reaction Time; Robotics;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2012.2199491