用技术帮人定制瑜伽方案，解决选姿、坚持和适应难题
Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook
- 从动作感知到纠错推荐，构建个性化瑜伽决策支持框架
- 以12式拜日式为案例，验证多阶段个性化方案可行性
- 适合对健康科技、智能健身感兴趣的开发者与研究者
瑜伽是一种源于古印度传统的身心练习，包含体位法、呼吸技巧与冥想，现被全球广泛用于促进整体健康与内在平衡。其实践内容繁多，我们称之为可执行动作（如体位或呼吸练习），需根据个人需求进行选择与调整。要获得真正个性化的益处，用户需克服三大挑战：(a) 从复杂且相互关联的动作库中筛选出适合自己的一组动作；(b) 持续坚持并根据能力变化与短期目标动态调整练习内容；(c) 随环境与健康状况变化灵活替换动作。本文作为愿景论文，系统分析了瑜伽个性化中的核心挑战，提出初步技术路径，并基于跨学科计算方法展望解决方案。据我们所知，这是首篇全面探讨瑜伽个性化决策支持问题的论文，涵盖从体位感知到完整训练计划纠错推荐的全流程，以拜日式（Surya Namaskar）——一组12个编排动作——为例进行案例研究。
原文摘要 · Abstract (English)
Yoga is a discipline of physical postures, breathing techniques, and meditative practices rooted in ancient Indian traditions, now embraced worldwide for promoting overall well-being and inner balance. The practices are a large set of items, our term for executable actions like physical poses or breath exercises, to offer for a person's well-being. However, to get benefits of Yoga tailored to a person's unique needs, a person needs to (a) discover their subset from the large and seemingly complex set with inter-dependencies, (b) continue to follow them with interest adjusted to their changing abilities and near-term objectives, and (c) as appropriate, adapt to alternative items based on changing environment and the person's health conditions. In this vision paper, we describe the challenges for the Yoga personalization problem. Next, we sketch a preliminary approach and use the experience to provide an outlook on solving the challenging problem using existing and novel techniques from a multidisciplinary computing perspective. To the best of our knowledge, this is the first paper that comprehensively examines decision support issues around Yoga personalization, from pose sensing to recommendation of corrections for a complete regimen, and illustrates with a case study of Surya Namaskar -- a set of 12 choreographed poses.
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