9th International Conference on Body Area Networks

Research Article

2C Vision Game: Visual Acuity Self-Testing Using Mobile Devices

  • @INPROCEEDINGS{10.4108/icst.bodynets.2014.258235,
        author={dina najeeb and Ani Nahapetian},
        title={2C Vision Game: Visual Acuity Self-Testing Using Mobile Devices},
        proceedings={9th International Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2014},
        month={11},
        keywords={acuity testing visual acuity optical character recognition (ocr) distance calculation sensor fusion},
        doi={10.4108/icst.bodynets.2014.258235}
    }
    
  • dina najeeb
    Ani Nahapetian
    Year: 2014
    2C Vision Game: Visual Acuity Self-Testing Using Mobile Devices
    BODYNETS
    ACM
    DOI: 10.4108/icst.bodynets.2014.258235
dina najeeb1,*, Ani Nahapetian1
  • 1: California State University, Northridge
*Contact email: dina.najeeb.903@my.csun.edu

Abstract

This paper explores non-intrusive, engaging, and cost effective mobile health methods to detect and monitor changes in visual acuity caused by diabetic retinopathy (linked to diabetes) and macular degeneration (linked to aging). These prevalent conditions can both lead to blindness if undetected early in their gradual progression. By leveraging mobile computing platforms and sensor technology, a serious game for use by patients at risk for these debilitating conditions is provided to monitor and to alert of any changes in vision in advance of clinical visits. The interface engages users in reading street signs within view, while the software determines the accuracy of the readings and the distance of the signs from the user, and then uses that information to track any changes in the persons vision over time.