Exercise Recommendation
Key Idea
We are exploring how to use AI and sensors (Pervasive Computing) for better, personalized, Yoga - the holistic Indian health system, by nudging a practitioner towards long-term exercise adherence. We do this supporting learning and practice of Yoga with performance and environment monitoring, and data-based (group) recommendation of poses and breathing.
Quick Start
- Get a quick project overview from our May 2026 poster. [Poster]
- Our Surya Namaskar (SN) explorer tool, SN-YE, pronounced "sun-yee", is intended for a beginner to tell about SN, variants, breathing, utterances/ mantras, etc. powered by an SN ontology (SN-YO). Please try SN-YE and provide feedback on the form. [SN-YE Tool] [SN-YO Ontology] [Survey Form] [Paper]
- Read our paper(2025) on overall idea of personalized SN with technology, and an initial prototype of metadata management, sensor data collection, analysis and platform.
- Return to the broader Trustworthy Group Recommendation page for team formation and fairness-focused group recommendation work.
Project Poster
Technology-assisted Personalized Yoga for Better Health
May 2026 overview of the personalized Yoga work, including SN-YO, SN-YE, sensing, and future recommendation directions.
Conceptual Overview - SN Personalization
Key Contacts: Hari P Gupta, Biplav Srivastava
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 (SN) - a set of 12 choreographed poses.
Representative Publications
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[2025] Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook
Vivek Kumar, Himanshu Sahu, Hari Prabhat Gupta, Biplav Srivastava
[Paper]
Modeling for SN
Key Contacts: Mansi Dodiya, Bharath C Muppasani, Hari P Gupta, Biplav Srivastava
The SN Yoga ontology (SN-YO) models Surya Namaskar as asanas, numbered pose occurrences, and sequence variants. It also includes a pose correction layer for the SN-variant followed at IIT BHU (our baseline). This layer models body parts, breathing patterns, safety notes, pose errors, and correction instructions. With information in multiple languages, any user application, like the SN-YE tool, can retrieve SN information in English or other supported languages (currently, Hindi and Telugu).
Representative Publications
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[2026] SN-YO: An Ontology for Modeling Surya Namaskar as a Sequence-Based Yoga Practice
Mansi Dodiya, Kishan Kumar, Bharath Chandra Muppasani, Biplav Srivastava, Raghava Mutharaju, Hari Prabhat Gupta
[Paper]
Funding
This work has been possible due to a VAIBHAV Fellowship (2025-2028; 17 proposals from among 216 selected globally) for summer visit and collaboration with IIT-BHU. This is in additon to support for group recommendation work from USC and SCRA.