Scholarlink

Reduced joint mobility, impaired motor control, and poor coordination significantly limit the performance of activities of daily living (ADLs), undermining individual autonomy and adversely affecting psycho-emotional and social well-being. Progressive functional impairments are commonly associated with ageing or chronic neurological conditions. Targeted physical activity aimed at stimulating, enhancing, and restoring specific motor abilities demonstrated clear benefits in counteracting such decline. However, access to continuous and tailored physiotherapy interventions remains constrained by financial, logistical, and resource-related barriers. In this context, technologies supported by artificial intelligence offer promising alternatives by enabling a transition from conventional, often costly and institution-based treatments to more accessible, home-based solutions. The ELEVATOR project aims to develop a suite of 3D exergames using a standard optical device (webcam) combined with the Google MediaPipe markerless motion-tracking framework. This lightweight and low-cost configuration promotes physical activity in an engaging, accessible and user-friendly way, well-suited for home use and remote monitoring. Preliminary analysis demonstrated promising results: over 92% exercise completion rates, progressive advancement through difficulty levels, improvements in functional parameters, and a clear correlation between clinical assessments and participants’ progression. These results highlight the system's feasibility, usability, and potential effectiveness in community-based, non-clinical settings.

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

Promoting At-Home Motor Training Through Google MediaPipe-Based Exergaming: The Elevator Project

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Claudia Ferraris,
  • Gianluca Amprimo,
  • Lorenzo Priano,
  • Alessandro Mauro,
  • Guido Coppo

摘要

Reduced joint mobility, impaired motor control, and poor coordination significantly limit the performance of activities of daily living (ADLs), undermining individual autonomy and adversely affecting psycho-emotional and social well-being. Progressive functional impairments are commonly associated with ageing or chronic neurological conditions. Targeted physical activity aimed at stimulating, enhancing, and restoring specific motor abilities demonstrated clear benefits in counteracting such decline. However, access to continuous and tailored physiotherapy interventions remains constrained by financial, logistical, and resource-related barriers. In this context, technologies supported by artificial intelligence offer promising alternatives by enabling a transition from conventional, often costly and institution-based treatments to more accessible, home-based solutions. The ELEVATOR project aims to develop a suite of 3D exergames using a standard optical device (webcam) combined with the Google MediaPipe markerless motion-tracking framework. This lightweight and low-cost configuration promotes physical activity in an engaging, accessible and user-friendly way, well-suited for home use and remote monitoring. Preliminary analysis demonstrated promising results: over 92% exercise completion rates, progressive advancement through difficulty levels, improvements in functional parameters, and a clear correlation between clinical assessments and participants’ progression. These results highlight the system's feasibility, usability, and potential effectiveness in community-based, non-clinical settings.