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Journal of Engineering and Applied Sciences
Year: 2018 | Volume: 13 | Issue: 11 SI | Page No.: 8682-8685
DOI: 10.36478/jeasci.2018.8682.8685  
Proposal and Evaluation of Eye-Blink Rate Detection Algorithms for HMD Environment
Yadav Sunil Kumar , Jisang Yoo and Soonchul Kwon
 
Abstract: People spend much time in front of the electronic display screens like computers, laptops, mobile phones or other devices which causes harmful effect on eyes. HMDs that implement virtual reality are widely used today and EBR (Eye Blink Rate) check in HMD environment is required and EBR is important to measure because it can be used as a recommendation for healthy visual field in virtual reality. However, EBR check in natural state is already proposed but effective and accurate measure of EBR is not proposed yet. Therefore, a system that can check the EBR in the HMD environment is required. In this study, we propose EBR for various environment like natural and HMD and evaluate the performance. The performance was evaluated by comparing the proposed algorithm with that of GT (Ground Truth) for 23 subjects. Our result showed that 99% accuracy of proposed algorithm in natural environment. And the proposed algorithm in HMD environment also showed 99% accuracy.
 
How to cite this article:
Yadav Sunil Kumar, Jisang Yoo and Soonchul Kwon, 2018. Proposal and Evaluation of Eye-Blink Rate Detection Algorithms for HMD Environment. Journal of Engineering and Applied Sciences, 13: 8682-8685.
DOI: 10.36478/jeasci.2018.8682.8685
URL: http://medwelljournals.com/abstract/?doi=jeasci.2018.8682.8685