Earticle

초록

영어

Technologies that are considered to be a part of the fourth industrial revolution include holograms, augmented reality, and virtual reality. As technology advances, the industry’s scale is growing quickly as well. While the development of technology for direct use is moving slowly, awareness of floating holograms—which are considered realistic content—is growing as the industry’s scale and rate of technological advancement continue to accelerate. Specifically, holograms that have been incorporated into museums and exhibition spaces are static forms of content that viewers gaze at inertly. Additionally, their use in educational fields is very passive and has a low rate of utilization. Therefore, in order to improve usability from the viewpoint of viewers of realistic content, such as exhibition halls or museums, we introduce realistic content control technology in this study using a machine learning framework to recognize hands. It is anticipated that using the study’s findings, manipulating realistic content independently will enhance comprehension of objects presented as realistic content and boost its applicability in the industrial and educational domains.

목차

Abstract
1. Introduction
2. Related works
2.1. How to understand holographic technology
2.2. How to use holographic technology
2.3. How to recognize hand gestures
3. Control technology for hand recognition
3.1. System configuration
3.2. Hand shape recognition and motion
4. Experiment and its results
5. Conclusions
Acknowledgement
References

키워드

저자

• Sangwon LEE [ Prof., Dept. of Computer & Software Engineering, Wonkwang Univ., Republic of Korea ]
• Hyun Chang LEE [ Prof., Dept. of Digital Content Engineering, Wonkwang Univ., Republic of Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380