Paperback. The integration of yoga and artificial intelligence (AI) represents an emerging approach to holistic wellbeing that blends ancient wisdom with modern technology. Rooted in centuries-old practices that promote balance among the mind, body, and spirit, yoga emphasizes mindfulness, physical movement, and breath control. AI offers powerful tools for analyzing data, personalizing experiences, and delivering real-time feedback. When combined, yoga and AI create opportunities to enhance wellness practices through personalized yoga routines, posture analysis, and guided mindfulness programs powered by intelligent systems. By bridging tradition and innovation, integrating yoga and AI could make holistic health practices more accessible, adaptive, and effective. Integrating Yoga and AI for Holistic Wellbeing delves into the methodologies for building intelligent systems that are technologically advanced, culturally sensitive, ethically sound, and deeply aligned with the authentic principles of yoga. It addresses the critical need for AI innovations that support human and societal well-being, leveraging traditional insights into energetics, psychology, and philosophy. This book covers topics such as healthcare systems, machine learning, and sports science, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Integrating Yoga and AI for Holistic Wellbeing (Paperback)
Publisher: IGI Global, Hershey
Publication Date: 2026
Language: English
ISBN 13: 9798337376264
Binding: Paperback
Condition: new

About this title

Synopsis

The integration of yoga and artificial intelligence (AI) represents an emerging approach to holistic wellbeing that blends ancient wisdom with modern technology. Rooted in centuries-old practices that promote balance among the mind, body, and spirit, yoga emphasizes mindfulness, physical movement, and breath control. AI offers powerful tools for analyzing data, personalizing experiences, and delivering real-time feedback. When combined, yoga and AI create opportunities to enhance wellness practices through personalized yoga routines, posture analysis, and guided mindfulness programs powered by intelligent systems. By bridging tradition and innovation, integrating yoga and AI could make holistic health practices more accessible, adaptive, and effective. Integrating Yoga and AI for Holistic Wellbeing delves into the methodologies for building intelligent systems that are technologically advanced, culturally sensitive, ethically sound, and deeply aligned with the authentic principles of yoga. It addresses the critical need for AI innovations that support human and societal well-being, leveraging traditional insights into energetics, psychology, and philosophy. This book covers topics such as healthcare systems, machine learning, and sports science, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists.

About the Authors

Ayoub Khan (Senior member IEEE) received his Ph. D (Electrical Engg.) from Jamia Millia Islamia, New Delhi, India, and Master of Technology (Computer Science and Engineering) from Guru Gobind Singh Indraprastha, New Delhi, India. Presently, he is working as Deputy Director, Smart Cyber-Physical System (CPS) Research Centre, University of Bisha, Saudi Arabia with interests in Internet of Things, RFID, Wireless Sensors Networks, Ad Hoc Network, Smart Cities, Industrial IoT, and signal processing, NFC, Routing in Network-on-Chip, Real Time and Embedded Systems. He is a certified Chief Information Security Officer (CISO) and Certified Information Security Manager (CISM). He has more than 14 years of experience in his research and consultancy area.

Raghav Mehra is a Professor and Program Leader of AIML at Chandigarh University with over 21 years of academic and research experience. He has served as HOD, Dean of Academics, and Assistant Director in reputed AICTE and UGC-approved institutions, leading them to achieve ISO, NBA, and NAAC accreditations. He holds an MCA, M.Tech., Ph.D. in Computer Science (Genetics & AI), and an M.A. in Yog. His expertise spans AI, ML, IoT, Cloud Computing, Networking, and Software Engineering. Dr. Mehra has guided 17 Ph.D. scholars, published 50+ research papers, authored books, and filed 20+ patents in AI and wellness technologies. He has received multiple AICTE grants, delivered lectures internationally, and developed advanced labs and academic programs. A member of IEEE, ISTE, CSI, and IAENG, Dr. Mehra continues to contribute to education, research, and innovation at the intersection of technology and human well-being.

Kanaga Suba Raja is a Professor and Associate Dean at the School of Computing, SRM Institute of Science and Technology, Tiruchirappalli, with over 20 years of teaching and research experience in Computer Science and Engineering. He has supervised 13 Ph.D. scholars, published more than 120 international journal papers, including 23 in SCI/WoS-indexed journals, and authored 9 book chapters. His research spans Artificial Intelligence, Data Science, Cloud Computing, Wireless Networks, and Healthcare Informatics. He has secured funded projects, including a ₹17 lakh grant for an AI-based smart parking system, and holds 2 granted and 5 published patents. A dedicated academic leader, Dr. Suba Raja has served as Head of Department at Easwari Engineering College and SRM IST, contributed to curriculum design, and organized numerous international conferences and faculty development programs. He is a member of IEEE, ACM, ISTE, IAENG, and other professional bodies. With over 1200 citations and an H-index of 18, Dr. Suba Raja continues to advance impactful research while mentoring future scholars and fostering global academic collaborations.

Pushkar Praveen is an Assistant Professor in the Department of Electronics and Communication Engineering at G.B. Pant Institute of Engineering and Technology, Pauri Garhwal, Uttarakhand, India. He received his Ph.D. in Electronics and Communication Engineering from Uttarakhand Technical University and M.Tech. in VLSI Design from CDAC Noida. He has over 13 years of academic and industry experience. His research interests include electronic device and circuit design, VLSI systems, embedded systems, Internet of Things (IoT). Dr. Praveen has published several research articles in reputed SCI/SCIE and Scopus- indexed journals and conferences. He has also contributed to multiple edited books and book chapters. He is actively involved in organizing faculty development programs, conferences, and research projects funded by national and international agencies. Dr. Praveen is a member of professional organizations including IEEE, IAENG, and ISTE.

|Rijwan Khan – Editor| Rijwan Khan is currently working as Professor and Dean Faculty of Computer Applications at Marwadi University, Rajkot, Gujrat. He also served as Dean Emerging Technologies and Training at ABES Institute of Technology, Ghaziabad. He completed his PhD in 2017 from Jamia Millia Islamia University, New Delhi, India. He has more than 20 years’ experience of teaching. He served as Head of Department-CSE in ABESIT and also Dean Research in ABESIT. He is editor in chief of Journal of Engineering, Science and Mathematics (JESM). He is guest editor of more than 15 journals. He edited 10 books in Elsevier, IGI Global, CRC and Bentham Science. He published 12 SCI Indexed Journal Papers, 22 Scopus Indexed Journal Papers and 22 Conference papers and 20 book chapters. He was keynote speaker in an international conference in Muscat, Oman conducted by Ministry of Agriculture, Oman. He has H index 24 and I index 40 and number of citations are more than 2400. He is member of ACM, ISTE, IETE

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