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.

Highlights

  • Development in virtual reality (VR) has made computer-generated imagery in the 3D environment an amazing experience

  • As the head mounted display (HMD) framework released by Valve becomes more mature, manufacturers are attracted to invest in the manufacture of high-quality graphics effective devices, such as HTC Vive, Oculus Rift, and Valve Index

  • VR can be seen in entertainment, education, shopping, libraries, gaming, sports, and social activities

Read more

Summary

Introduction

Development in virtual reality (VR) has made computer-generated imagery in the 3D environment an amazing experience. Users are able to interact intuitively and immerse and submit themselves into a virtual world [1]. As the head mounted display (HMD) framework released by Valve becomes more mature, manufacturers are attracted to invest in the manufacture of high-quality graphics effective devices, such as HTC Vive, Oculus Rift, and Valve Index. The spatial positioning function of the devices, namely, the position and rotation of the headset and controllers, are in real-time. The controllers are dynamically tracked and wireless so that users can get a better operating feel in the virtual world [2]. Improvements in the hardware equipment has made VR popular. VR can be seen in entertainment, education, shopping, libraries, gaming, sports, and social activities. Much research has been done on these related fields [3,4,5,6]

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call