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

• Main Authors: Chih-Wei Shiu, Jeanne Chen, Yu-Chi Chen
• Format: Article
• Language: English
• Published: MDPI AG 2020-11-01
• Series: Mathematics
• Subjects: virtual reality; handwriting symbol recognition; online recognition; offline recognition; eigenvalue
• Online Access: https://www.mdpi.com/2227-7390/8/11/1967

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.