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提高太极拳训练系统:朝着以小组为基础和超现实的训练体验
IEEE transactions on visualization and computer graphics
|March 8, 2024
概括
本研究介绍了一种低成本的虚拟现实 (VR) 系统,用于太极拳训练. 混合现实 (MR) 提供了培训准确性和社交互动的平衡,优于传统方法.
科学领域:
- 人与计算机的交互
- 虚拟现实培训系统 虚拟现实培训系统
- 运动科学 运动科学 运动科学
背景情况:
- 传统的太极拳训练缺乏沉浸式反和可扩展的社交互动.
- 现有的虚拟现实 (VR) 解决方案可能无法完全复制团体培训的社会动态.
研究的目的:
- 开发和评估一个低成本的,多用户VR系统,用于增强的太极拳训练.
- 将VR和混合现实 (MR) 与传统教练指导 (TCG) 的有效性进行比较.
主要方法:
- 实施一个灵活的,多设备的VR系统,并提供实时的行动指导.
- 对行动质量的客观评估和对用户体验的主观评估 (运动病,沉浸,社交存在).
- 跨TCG,VR和MR沉浸级别进行比较分析.
主要成果:
- 虚拟现实展示了最高的训练准确性.
- 混合现实 (MR) 提供了一种优越的社交体验,精度与VR相比.
- MR提供了超现实的指导和社会参考,在特定方面超过了TCG和VR.
结论:
- MR有效地平衡了训练准确性与在太极拳实践中加强社会参与.
- 拟议的VR系统,特别是其MR配置,为太极拳训练提供了可行的,有效的低成本替代方案.
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