Scholarlink

Gait analysis and support are crucial for maintaining mobility and safety in older adults. This study aimed to analyze the effects of the Self-Projection Method (SPM), a gait assistance method that allows individuals to observe their real-time gait rendered as a three-dimensional computer graphics (3DCG) character through Mixed Reality goggles, on the gait patterns of older adults. Seven healthy older adult males participated in the experiment under three conditions: (1) no visual feedback (Non-3DCG), (2) visual feedback of pre-defined stable gait patterns (Model-3DCG), and (3) real-time visualization of their own gait (Self-3DCG). Lower limb gait mechanics and trunk dynamics were compared across these conditions. The results revealed that introducing SPM increased gait speed and stride length while reducing trunk tilt and oscillation. Under the Model-3DCG condition, adaptation to stable gait patterns mitigated forward trunk tilt and reduced anterior-posterior oscillation. Under the Self-3DCG condition, along with reduced anterior-posterior oscillation, increased gait speed and stride length indicated the selection of more efficient gait patterns. These findings suggest that SPM effectively supports the adjustment of lower limb mechanics and trunk dynamics, potentially enabling a more efficient and stable gait in older adults.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Effects of Self-Projection Through Mixed Reality on Gait in Older Adults

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Takeshi Muto,
  • Jo Kasuya,
  • Yumiko Muto

摘要

Gait analysis and support are crucial for maintaining mobility and safety in older adults. This study aimed to analyze the effects of the Self-Projection Method (SPM), a gait assistance method that allows individuals to observe their real-time gait rendered as a three-dimensional computer graphics (3DCG) character through Mixed Reality goggles, on the gait patterns of older adults. Seven healthy older adult males participated in the experiment under three conditions: (1) no visual feedback (Non-3DCG), (2) visual feedback of pre-defined stable gait patterns (Model-3DCG), and (3) real-time visualization of their own gait (Self-3DCG). Lower limb gait mechanics and trunk dynamics were compared across these conditions. The results revealed that introducing SPM increased gait speed and stride length while reducing trunk tilt and oscillation. Under the Model-3DCG condition, adaptation to stable gait patterns mitigated forward trunk tilt and reduced anterior-posterior oscillation. Under the Self-3DCG condition, along with reduced anterior-posterior oscillation, increased gait speed and stride length indicated the selection of more efficient gait patterns. These findings suggest that SPM effectively supports the adjustment of lower limb mechanics and trunk dynamics, potentially enabling a more efficient and stable gait in older adults.