在未来的路径上,个人在多个步行目标上步行的路径有多远? 虚拟现实下的新评估方法
Ryotaro Waki1,2, Kazuyuki Sato1,3, Junki Inoue1,4
1Department of Health Promotion Science, Tokyo Metropolitan University, Tokyo, Japan.
Frontiers in sports and active living
|April 3, 2025
概括
虚拟现实步行任务有助于评估步行能力. 年轻的成年人可以识别两个步骤前进的目标,但在三个步骤中扎,这表明预测视觉处理在行走方面存在局限性.
科学领域:
- 人类运动科学 人类运动科学
- 虚拟现实应用程序 虚拟现实应用程序
- 步态分析 步态分析
背景情况:
- 预期步态调整对于防止在行走时摔倒至关重要.
- 对行走路径的视觉感知对于有效的步态修改至关重要.
- 虚拟现实 (VR) 为研究人类运动提供了一个受控的环境.
研究的目的:
- 开发和验证一个VR多目标阶段化 (VR-MTS) 任务.
- 为了评估个体在步行时视觉识别前方路径的能力.
- 为了评估预期的步态调整,以响应视觉线索.
主要方法:
- 使用头戴显示器 (HMD) 开发了一个VR多目标步骤 (VR-MTS) 任务.
- 参与者 (N=13,年轻成年人) 走了4米,在不同的视觉预览条件下踩到目标 (N+1,N+2,N+3).
- 记录了步行精度,以评估不同距离的步行目标的视觉识别.
主要成果:
- 步骤失败率随着目标距离的增加而显著增加,特别是在N+3条件下.
- 参与者展示了识别前两排目标的能力.
- 难以识别三行前的目标导致步骤错误和随机选择的增加.
结论:
- VR-MTS任务是评估步行时视觉路径识别的有效工具.
- 年轻的成年人在视觉处理超越前两步的步行路径方面存在局限性.
- 这项任务可以为预防跌倒和步行康复的策略提供信息.
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