发表机构
Kennesaw State University（肯尼索州立大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出三种运动适配方法（运动加速、转向加速、运动减速）以改善VR中身体状态过渡时的姿势稳定性，初步实验显示可降低重心速度并提升平衡信心。
AI 中文摘要
我们提出了三种运动适配方法：运动加速、转向加速和运动减速，以改善虚拟现实（VR）中身体状态过渡期间的姿势稳定性。该系统检测站立到行走、转向以及行走到停止的过渡，并应用自适应运动平滑。运动加速在用户开始行走时逐渐增加运动速度，转向加速在转向时平滑旋转，运动减速在停止前逐渐降低运动速度。我们在虚拟导航任务中评估了这些技术，使用了客观和主观的平衡测量。初步结果显示，重心（COP）速度降低，平衡信心提高。这些发现表明，运动适配可以改善平衡和导航体验。
英文摘要
We present three locomotion adaptation approaches: Motion Acceleration, Turn Acceleration, and Motion Deceleration to improve postural stability during body-state transitions in virtual reality (VR). The system detects standing-to-walking, turning, and walking-to-stopping transitions and applies adaptive locomotion smoothing. Motion Acceleration gradually increases locomotion speed when users begin walking, Turn Acceleration smooths rotation while turning, and Motion Deceleration gradually reduces movement speed before stopping. We evaluated these techniques in a virtual navigation task using objective and subjective balance measures. Preliminary results show reduced center of pressure (COP) velocity and improved balance confidence. These findings suggest that locomotion adaptations can improve balance and navigation experience.
Comments4 pages, 3 figures, accepted in ISMAR 2026 poster track
