Designing Complex Gesture-Based Scenarios for Semantic VR Training System

The use of Virtual Reality (VR) technology in industrial training is rapidly advancing due to its immersive and interactive capabilities. This article presents a detailed exploration of a semantic VR system specifically designed to train factory staff. The purpose of this article is to address the significant problem of the inefficiency and limitations of traditional training methods. Existing approaches often fail to provide the necessary hands-on experience and adaptability required for effective training. Our main contribution is the development of a gesture-based semantic VR training system and an innovative method for creating training scenarios. The core of the article delves into the system’s architecture, highlighting key features such as hand tracking and the ability to edit scenarios using domain knowledge, allowing non-technical personnel to participate in the development process. The system is built using the Unity game engine, emphasizing the importance of clear semantic naming conventions and adherence to expert guidelines in scenario design. The results demonstrate the system’s cost-effectiveness and safety benefits. The article concludes with a discussion on future work possibilities, including the integration of AI to enhance system adaptability and effectiveness.