• DocumentCode
    2981880
  • Title

    Sensor suites for assistive arm prosthetics

  • Author

    Buckley, Martin ; Vaidyanathan, Ravi ; Mayol-Cuevas, Walterio

  • Author_Institution
    Bristol Robot. Lab., Univ. of Bristol, Bristol, UK
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper introduces a sensor suite framework for the partial automation of prosthetic arm control allowing high level control with a reduction of cognitive burden placed upon the user. Automation aims to replicate the hand eye co-ordination through the synergy of a virtual 7DOF arm prosthesis together with the development of a gaze tracking system. The interactions between elements of the suite are detailed and a selection of sensors implemented to control a simple simulation. Use of the novel tongue control system is used to provide discrete input to the system. Initial tests are made of of the system together with a users ability to learn to use the system with promising user feedback on ease of interaction and potential for reduced cognitive burden.
  • Keywords
    artificial limbs; dexterous manipulators; eye; gesture recognition; handicapped aids; sensors; tracking; virtual reality; assistive arm prosthetics; gaze tracking system; hand eye coordination; prosthetic arm control; sensor suite framework; tongue control system; virtual 7DOF arm; Cameras; Control systems; Elbow; Games; Joints; Prosthetics; Tongue; Assistive Device; Gaze Tracking; Hand Eye Co-ordination; Kinect; Prosthesis; Rehabilitation; Tongue Control; Virtual Environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on
  • Conference_Location
    Bristol
  • ISSN
    1063-7125
  • Print_ISBN
    978-1-4577-1189-3
  • Type

    conf

  • DOI
    10.1109/CBMS.2011.5999153
  • Filename
    5999153