Smart Yoga Mat Integrated with AI: Revolutionizing Yoga Practice with Intelligent Technology

Authors

  • Manas Singhal
  • Ruchi Varshney
  • Nishi Singh

Keywords:

Artificial intelligence (AI), Internet of Things (IoT), Machine learning (ML), Smart yoga mat, Wearable technology

Abstract

Artificial Intelligence (AI) has opened up new possibilities for tracking one’s own fitness and health through wearable and Internet of Things devices. The Smart Yoga Mat described in this study has an embedded AI system that tracks, evaluates, and offers real-time feedback on yoga poses. To improve posture detection and correction accuracy, the technology makes use of pressure sensors, Inertial Measurement Units (IMUs), and AI-based pose estimate algorithms. According to hypothetical trial results, the technology offers individualized support and enhances user posture. While reducing the risk of injury, this technology has the potential to enhance the yoga experience at home. This paper presents a Smart Yoga Mat with AI that provides practitioners with corrected feedback based on real-time posture detection. The gadget tracks users’ weight distribution and touch points while they perform yoga poses using built-in pressure sensors in the mat. AI algorithms assess these sensor inputs to determine pose accuracy, spot deviations and offer tailored guidance through a companion smartphone application. Additionally, by incorporating biometric data, like heart rate, wearable technology enhances fitness tracking. The mat-based method is suitable for residential use in a range of lighting and climatic conditions because it offers a privacy-preserving substitute for camera-based systems. The system’s capacity to enhance posture, boost engagement, and promote regular practice has been demonstrated through testing with users of different skill levels. This invention creates an approachable and interactive method to promote safe, efficient yoga practice at home or in rehabilitation centers by fusing traditional yoga techniques with digital intelligence.

References

M. Sundholm, J. Cheng, B. Zhou, A. Sethi, and P. Lukowicz, “Smart-mat: recognizing and counting gym exercises with low-cost resistive pressure sensing matrix,” Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Sep. 2014, pp. 373–382.

W. Sun, “RFitness: Enabling smart yoga mat for fitness posture detection with commodity passive RFIDs,” 2021 IEEE International Conference on RFID (RFID), Atlanta, GA, USA, 2021, pp. 1–8.

M. S. Solanki, and A. Sharma, “A research paper on new generation gym mat,” International Journal of Innovative Research in Computer Science and Technology (IJIRCST), vol. 9, no. 6, pp.123–126, 2021.

M. Saravanapandian, J. B, K. B, V. S, J. R. J. Shiney and S. S. S., “Smart yoga mat: An AI-integrated affordable yoga mat for personalized guidance and progress tracking,” 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC), SOLAN, India, 2025, pp. 858–862.

D. R. Kamble, P. Deshmukh, P. Panwal, S. Patil, and P. Patil, “Smart yoga mat using IoT for real-time posture monitoring,” Recent Trends in Information Technology and its Application, vol. 9, no. 2, pp. 35–40, Mar. 2026.

R. P, D. M, D. S. V and G. R, “Self guiding smart yoga mat with real time posture feedback and health monitoring,” 2025 4th International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2025, pp. 370–377.

A. Upadhyay, N. K. Basha, and B. Ananthakrishnan, “Deep learning-based yoga posture recognition using the Y_PN-MSSD model for yoga practitioners,” Healthcare, vol. 11, no. 4, Feb. 2023.

S.-C. Yeh and C.-K. Yang, “Yoga pose recognition and motion analysis for a home-based fitness monitoring and health management system,” Signal, Image and Video Processing, vol. 19, Jul. 2025.

C. Long, E. Jo, and Y. Nam, “Development of a yoga posture coaching system using an interactive display based on transfer learning,” The Journal of Supercomputing, vol. 78, pp. 5269–5284, Sep. 2021.

M. A. Pradhan, V. Tendolkar, S. Rengade, Y. Pazade, and V. Yeole “Yoga pose detection and feedback generation,” Journal of Novel Research and Innovative Development, vol. 3, no. 6, pp. a63–a70, Jun. 2025.

R. Gadhvi, P. Desai, and Siddharth, “PosePilot: An Edge-AI solution for posture correction in physical exercises,” Pattern Recognition and Image Analysis: 12th Iberian Conference, IbPRIA 2025, Coimbra, Portugal, Jul. 2025, pp. 208–219.

R. Pal, D. Adhikari, M. B. B. Heyat, I. Ullah, and Z. You, “Yoga meets intelligent Internet of Things: Recent challenges and future directions,” Bioengineering, vol. 10, no. 4, pp. 459–459, Apr. 2023.

A. Nagargoje, K. Maybach, and T. Sokoler, “Social yoga mats: designing for exercising/socializing synergy,” in Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction, Feb. 2012, pp. 87–90.

N. Armugum, E-Health Smart Yoga Mat System, Final Year Project Report, 2023.

Published

2026-06-15

How to Cite

Manas Singhal, Ruchi Varshney, & Nishi Singh. (2026). Smart Yoga Mat Integrated with AI: Revolutionizing Yoga Practice with Intelligent Technology. Research & Review: Electronics and Communication Engineering, 21–30. Retrieved from https://www.matjournals.net/engineering/index.php/RRECE/article/view/3718