• DocumentCode
    1516681
  • 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
  • Volume
    59
  • Issue
    8
  • fYear
    2012
  • Firstpage
    2200
  • Lastpage
    2210
  • 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;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2012.2199491
  • Filename
    6200307