A Laser Lidar-Based Body Turning Detection Method in VR Interaction

Abstract

The traditional key-based operation modes of virtual reality (VR) interaction often suffer from insufficient immersion and limited hand operation, which hinder the natural and intuitive user experience. To address these challenges, this paper proposes a novel body turning detection method based on laser lidar technology. By aligning the laser lidar with the human back, the method systematically collects distance data in a 4×4 grid format. The collected data is then processed using mean value analysis to enhance accuracy and robustness. Based on the data relationships, the method effectively judges the turning direction and further calculates the body turning speed to control the platform speed in real-time. Experimental results demonstrate that this method can accurately and efficiently realize human body turning detection and speed regulation. By providing technical support for liberating hand operations, the method significantly enhances the realism and immersion of VR intelligent interaction. This innovative approach not only improves the user experience but also opens new avenues for the development of more advanced and user-friendly VR systems. The findings contribute to the broader field of human-computer interaction, offering practical insights for the design and optimization of VR technologies.