Earticle

초록

영어

Since the VR HMD completely blocks the wearer's field of view, accidents can be prevented in advance by removing surrounding risk factors. In general, when using VR HMD content, a method of deploying safety personnel or securing an experience space is used. However, when an individual uses content, there is a problem that the method cannot be used. In this paper, the OpenCV library and the YOLO v4 algorithm were used to improve the above problems. An object may be detected from an input real-time image using the YOLO algorithm. Object detection was implemented using the front camera of the HTC VIVE Pro Eye equipment. Through the implemented technology, VR experiencers whose eyes were blocked were able to identify risk factors through the front camera.

목차

Abstract
I. INTRODUCTION
II. BACKGROUND
A. OpenCV
B. YOLO Algorithm
III. EXPERIMENTS
A. Experimental Environment
B. The Result of an Experiment
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

저자

• Donghyun Woo [ dept. Of Culture Technology convergence Changwon National University ]
• Sunjin Yu [ dept. Of Culture Technology convergence Changwon National University ]

참고문헌