• DocumentCode
    2394587
  • Title

    Calibration tools for PC-based vision assessment

  • Author

    Rolkosky, David J. ; Dagnelie, Gislin ; Kramer, Kevin ; Havey, Gary ; Seifert, Gregory J.

  • Author_Institution
    Adv. Med. Electron., Maple Grove, MN, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    781
  • Lastpage
    784
  • Abstract
    This paper details the research and development of the PC Vision system, a unique calibration and monitoring subsystem that will enable use of personal computers as accurately calibrated and controlled vision test instruments. The need for such a system is evident. Display intensity and chromaticity, test distance, room illumination, and a number of other variables must be controlled to avoid unexplained discrepancies in test outcomes, within and between individuals and test locations. Modern displays (CRT-, LCD-, or projector-based) have sufficient resolution, gamut, and stability to allow high-quality stimulus presentation. The PC Vision system consists of two categorical functions - one to calibrate screen properties, the other to monitor room and test setup conditions - packaged into a fully integrated hardware prototype.
  • Keywords
    biomedical measurement; calibration; computerised instrumentation; display instrumentation; medical computing; microcomputers; vision; CRT-based displays; LCD-based displays; PC-based vision assessment; calibration; chromaticity; display intensity; fully integrated hardware; personal computers; projector-based displays; research and development; room illumination; stimulus presentation; test distance; Algorithms; Calibration; Diagnosis, Computer-Assisted; Equipment Design; Equipment Failure Analysis; Reproducibility of Results; Sensitivity and Specificity; United States; Vision Tests;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333596
  • Filename
    5333596