• DocumentCode
    607892
  • Title

    Gesture imitation for a robotic fitness coach

  • Author

    Gorer, B. ; Salah, Albert Ali ; Akin, H.L.

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Bogazici Univ., İstanbul, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The ultimate goal of ambient assisted living is to help elderly people live a healthy life in the convenience of their homes by making more intelligent technology bring them a set of required assistive tools. In this paper we describe a robotic fitness coach that helps elderly people in their daily exercise activities. The robotic fitness coach learns a set of physical exercises from a professional trainer, and assists elderly subjects in performing these gestures. The gestures were selected from an actual training programme at an elderly care home in order to create a real world scenario.We optimize a function that combines robot stability and appearance similarity in order to find the best mapping from the trainers gesture, observed by an RGB-D camera, to the gesture performed by the robot to solve the mapping problem between human and robot which stems from the embodiment differences.
  • Keywords
    assisted living; cameras; gesture recognition; professional aspects; stability; RGB-D camera; ambient assisted living; elderly people; gesture imitation; intelligent technology; physical exercises; professional trainer; robot stability; robotic fitness coach; Assisted living; Electronic mail; Kalman filters; Nonlinear optics; Robots; Ambient Assisted Living Environments for Elderly; Imitation Learning; Robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531553
  • Filename
    6531553