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

Chih-Wei Shiu, Jeanne Chen and Yu-Chi Chen
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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

Mathematics, 2020, vol. 8, issue 11, 1-13

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.

Keywords: virtual reality; handwriting symbol recognition; online recognition; offline recognition; eigenvalue (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
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