• DocumentCode
    1791833
  • Title

    Eye-movement-based objective real-time quantification of patient´s mental engagement in rehabilitation: A preliminary study

  • Author

    Songpo Li ; Xiaoli Zhang

  • Author_Institution
    Dept. of Mech. Eng., Colorado Sch. of Mines, Golden, CO, USA
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    180
  • Lastpage
    185
  • Abstract
    In this paper, we presented a novel quantification tool for the mental engagement of patients during rehabilitation. This method is based on eye-movement analysis, which can perform automatic, objective, and real-time quantification with a simple setup. Using this quantification tool, the therapists can monitor the patients´ engagement in real time and adjust the rehabilitation exercises to maintain the patients´ engagement at a certain level for the best rehabilitation outcome. A preliminary study was performed, in which the presented method successfully distinguished the different engagement levels in different rehabilitation games.
  • Keywords
    eye; gaze tracking; medical image processing; patient treatment; eye-movement analysis; eye-movement-based objective real-time quantification; mental engagement; quantification tool; therapists; Biological control systems; Games; Haptic interfaces; Real-time systems; Robots; Tracking; Visualization; eye movement; mental engagement; quantification; rehabilitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4799-3978-7
  • Type

    conf

  • DOI
    10.1109/ICMA.2014.6885692
  • Filename
    6885692