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Low-Cost Online Handwritten Symbol Recognition System in Virtual Reality Environment of Head-Mounted Display

Author

Listed:
  • Chih-Wei Shiu

    (Department of Education Industry and Digital Media, National Taitung University, Taitung 95092, Taiwan)

  • Jeanne Chen

    (Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung 40444, Taiwan)

  • Yu-Chi Chen

    (Department of Computer Science and Engineering, Yuan Ze University, Taoyuan 32003, Taiwan)

Abstract

Virtual reality is an important technology in the digital media industry, providing a whole new experience for most people. However, its manipulation method is more difficult than the traditional keyboard and mouse. In this research, we proposed a new low-cost online handwriting symbol recognition system to accurately identify symbols by user actions. The purpose was low cost processing without requiring a server. Experimental results showed that the average success rate of recognition was 99.8%. The execution time averaged a significantly low 0.03395 s. The proposed system is, respectively, highly reliable and at a low cost. This implies that the proposed system is suitable for applications in real-time environments.

Suggested Citation

  • Chih-Wei Shiu & Jeanne Chen & Yu-Chi Chen, 2020. "Low-Cost Online Handwritten Symbol Recognition System in Virtual Reality Environment of Head-Mounted Display," Mathematics, MDPI, vol. 8(11), pages 1-13, November.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:11:p:1967-:d:440688
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    References listed on IDEAS

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    1. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
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