Artificial intelligence (AI) transforms various fields, including medicine, health sciences, and psychology. In the context of yoga studies, AI offers opportunities for research, practice, and teaching by analyzing large datasets related to yogic practices, physiological responses, movement patterns, and wellness outcomes. Through technologies like machine learning, computer vision, and wearable sensors, AI enhanced personalized yoga instruction, monitors posture alignment, and supports evidence-based investigations into the physical, mental, and spiritual dimensions of yoga. As the integration of AI expands, it presents promising possibilities and important ethical considerations, making it a significant area of inquiry within contemporary yoga studies. AI in Yoga Studies explores how AI applies to the study, practice, teaching, and research of yoga. It examines the opportunities, challenges, and ethical implications of using AI to enhance yoga instruction, analyze practitioner data, improve health outcomes, and deepen understanding of yogic practices. This book covers topics such as personalized healthcare, medical technologies, and mindfulness meditation, and is a useful resource for engineers, medical and healthcare professionals, academicians, researchers, and scientists.
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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.
S. 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.
Rijwan Khan is currently working as Professor & Dean FoCA at Marwadi University, India . He also worked 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, 21 Scopus Indexed Journal Papers and 21 Conference papers and 19 book chapters. He was keynote speaker in an international conference in Muscat, Oman conducted by Ministry of Agriculture, Oman. He has H index 25 and I index 40 and number of citations are more than 2500. He is member of ACM, ISTE, IETE.
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Paperback. Condición: new. Paperback. Artificial intelligence (AI) transforms various fields, including medicine, health sciences, and psychology. In the context of yoga studies, AI offers opportunities for research, practice, and teaching by analyzing large datasets related to yogic practices, physiological responses, movement patterns, and wellness outcomes. Through technologies like machine learning, computer vision, and wearable sensors, AI enhanced personalized yoga instruction, monitors posture alignment, and supports evidence-based investigations into the physical, mental, and spiritual dimensions of yoga. As the integration of AI expands, it presents promising possibilities and important ethical considerations, making it a significant area of inquiry within contemporary yoga studies. AI in Yoga Studies explores how AI applies to the study, practice, teaching, and research of yoga. It examines the opportunities, challenges, and ethical implications of using AI to enhance yoga instruction, analyze practitioner data, improve health outcomes, and deepen understanding of yogic practices. This book covers topics such as personalized healthcare, medical technologies, and mindfulness meditation, and is a useful resource for engineers, medical and healthcare professionals, 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. Nº de ref. del artículo: 9798260024645
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Paperback. Condición: new. Paperback. Artificial intelligence (AI) transforms various fields, including medicine, health sciences, and psychology. In the context of yoga studies, AI offers opportunities for research, practice, and teaching by analyzing large datasets related to yogic practices, physiological responses, movement patterns, and wellness outcomes. Through technologies like machine learning, computer vision, and wearable sensors, AI enhanced personalized yoga instruction, monitors posture alignment, and supports evidence-based investigations into the physical, mental, and spiritual dimensions of yoga. As the integration of AI expands, it presents promising possibilities and important ethical considerations, making it a significant area of inquiry within contemporary yoga studies. AI in Yoga Studies explores how AI applies to the study, practice, teaching, and research of yoga. It examines the opportunities, challenges, and ethical implications of using AI to enhance yoga instruction, analyze practitioner data, improve health outcomes, and deepen understanding of yogic practices. This book covers topics such as personalized healthcare, medical technologies, and mindfulness meditation, and is a useful resource for engineers, medical and healthcare professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798260024645
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Paperback. Condición: new. Paperback. Artificial intelligence (AI) transforms various fields, including medicine, health sciences, and psychology. In the context of yoga studies, AI offers opportunities for research, practice, and teaching by analyzing large datasets related to yogic practices, physiological responses, movement patterns, and wellness outcomes. Through technologies like machine learning, computer vision, and wearable sensors, AI enhanced personalized yoga instruction, monitors posture alignment, and supports evidence-based investigations into the physical, mental, and spiritual dimensions of yoga. As the integration of AI expands, it presents promising possibilities and important ethical considerations, making it a significant area of inquiry within contemporary yoga studies. AI in Yoga Studies explores how AI applies to the study, practice, teaching, and research of yoga. It examines the opportunities, challenges, and ethical implications of using AI to enhance yoga instruction, analyze practitioner data, improve health outcomes, and deepen understanding of yogic practices. This book covers topics such as personalized healthcare, medical technologies, and mindfulness meditation, and is a useful resource for engineers, medical and healthcare professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9798260024645
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