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Automated Quantification of Eye Blink Rate Using VIOLA–JONES Algorithm

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  • Mohammad Hamdan

    (Department of Computer Science, Yarmouk University, Irbid, Jordan and MACS, Heriot-Watt University, Dubai, UAE)

  • Hisham A. Shehadeh

    (Department of Computer System and Technology, University of Malaya, Kuala Lumpur, Malaysia)

Abstract

In this article, we have proposed a novel tool that helps to objectively quantify eye blink rate. Using the proposed algorithm, a threshold for normal blink rate can be set to test those who have to reduce eye blink rate and are prone to ocular surface dryness. The statistical results show excellent agreement between software-detected number of blinks and visually measured with 90% accuracy for the participants. In addition, the comparison between our tool and other approaches of eye blink monitoring shows that our tool is competitive with only 5% wasted blinks.

Suggested Citation

  • Mohammad Hamdan & Hisham A. Shehadeh, 2018. "Automated Quantification of Eye Blink Rate Using VIOLA–JONES Algorithm," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 9(4), pages 19-32, October.
    • Handle: RePEc:igg:jtd000:v:9:y:2018:i:4:p:19-32
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