Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook
Vivek Kumar, Himanshu Sahu, Hari Prabhat Gupta, and Biplav Srivastava

TL;DR
This paper discusses the challenges and potential solutions for personalized Yoga using technology, focusing on decision support, pose sensing, and adaptive recommendations to enhance individual health benefits.
Contribution
It provides the first comprehensive examination of decision support issues in Yoga personalization, integrating multidisciplinary computing techniques.
Findings
Identifies key challenges in Yoga personalization including pose discovery and adaptation.
Proposes a preliminary approach combining sensing and recommendation techniques.
Highlights the need for multidisciplinary solutions for effective Yoga personalization.
Abstract
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…
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