Go Back Research Article November, 2021
International Journal of Engineering Applied Science and Management

A Comparative Study on Different Techniques of Hand Interaction in a Virtual Reality Environment

Abstract

Mixed reality especially Virtual Reality (VR) has become a part of our lives. It had its limitations, but has grown to become an accessible tool one way or other. Its influence on society is very big because it enables the masses to enjoy life through an immersive experience. It transports people into entirely artificial worlds and has stimulated people to come up with creative solutions for pressing issues making it a powerful tool in entertainment and medicine. Our research is centered on hand interaction techniques in VR which aim to increase immersion and interactivity in order to make these digital experiences more realistic. Additionally, VR has spread out new gateways for amusement, healthcare, or even far-flung paintings, shaping the way we interact with technology and each different. Understanding how we can use our hands in virtual reality is the main focus here. We're looking at lots of different ways, from new deep learning methods to methods like haptic devices, to see which one does the best job of understanding our hand movements and transitioning it to VR hand mobility. This paper also discusses the best way to implement these techniques in real virtual reality projects by integrating OpenCV with VR environment. It shows how these techniques can be applied in the real world to make VR experiences more life-like and interactive. We aim to provide researchers, developers, and VR consumers with a deep understanding of how hand interaction influences the immersion of virtual reality. By inspecting existing research we want to inspect challenges, possibilities and future guidelines of this field. Additionally, we hope to inspire creativity and innovation among those interested by pushing the boundaries of digital reality generation.

Keywords

Virtual Reality Environment openCV hand computer interaction computer vision brain computer interface immersive technology haptic devices gesture recognition.
Details
Volume 2
Issue 11
ISSN 2582-6948