• DocumentCode
    2104876
  • Title

    Evaluation of vision-based head-trackers for assistive devices

  • Author

    Guness, S.P. ; Deravi, Farzin ; Sirlantzis, Konstantinos ; Pepper, M.G. ; Sakel, Mohamed

  • Author_Institution
    Fac. of Sci., Univ. of Kent, Canterbury, UK
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    4804
  • Lastpage
    4807
  • Abstract
    This paper presents a new evaluation methodology for assistive devices employing head-tracking systems based on an adaptation of the Fitts Test. This methodology is used to compare the effectiveness and performance of a new vision-based head tracking system using face, skin and motion detection techniques with two existing head tracking devices and a standard mouse. The application context and the abilities of the user are combined with the results from the modified Fitts Test to help determine the most appropriate devices for the user. The results suggest that this modified form of the Fitts test can be effectively employed for the comparison of different access technologies.
  • Keywords
    computer vision; handicapped aids; medical computing; target tracking; Fitts test adaptation; assistive devices; face detection techniques; head tracking devices; head tracking systems; motion detection techniques; skin detection techniques; vision based head trackers; Human computer interaction; ISO standards; Indexes; Mice; Performance evaluation; Tracking; Algorithms; Equipment Design; Equipment Failure Analysis; Head; Head Movements; Humans; Imaging, Three-Dimensional; Reproducibility of Results; Self-Help Devices; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347068
  • Filename
    6347068