用于增强虚拟环境探索的低成本人体运动速度识别

Marina Vela Nunez, C. Avizzano, E. Ruffaldi, M. Bergamasco
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引用次数: 2

摘要

针对动觉虚拟环境(VE)的研究,设计了一种新颖、低成本的实时人体运动速度识别界面。根据界面范例,将人体运动识别反馈给VE导航控制。为了获得10名年龄在23至35岁之间的健康受试者(男性和女性)的运动加速度数据,组织了一次实验。一个跑步机被用来捕捉实验对象的运动速度。该系统旨在实时优化人体运动速度识别的分类性能。被识别的人类速度运动已被证明可以增强用户在虚拟环境中的存在感。已经开发了一个简单的场景来评估系统功能。实验表明,我们的系统在分类广泛的人体运动方面表现出色,可以在虚拟和增强现实(VR)环境中使用,以改善交互。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A low-cost human locomotion speed recognition for augmented virtual environments exploration
This paper presents a novel and low-cost interface designed for real-time human locomotion speed recognition, which fits with the exploration of kinesthetic virtual environments (VE). According to the interface paradigm, the human locomotion recognition feeds VE navigation control. An experimental session has been organized in order to acquire acceleration data related to locomotion of 10 healthy subjects (men and women) aging between 23 and 35 years. A treadmill has been used to capture the velocity at which subjects were moving. Our system was designed to optimize classification performances in human locomotion speed recognition in real-time. The recognized human speed locomotion has been shown to enhance users' sensation of presence in the virtual environment. A simple scenario has been developed to assess the system functionality. The experiments carried out show that our system is excellent at classifying a wide range of human locomotion and can be used both in virtual and augmented reality (VR) environments for improved interaction.
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