AI-Guided Meditation Techniques: Focus, Awareness, and Deep Relaxation

Singh, Sandeep Kumar ORCID: https://orcid.org/0000-0002-1741-7254, Tomar, Ravi and Haque, Shafiul (2026) AI-Guided Meditation Techniques: Focus, Awareness, and Deep Relaxation. In: Integrating Yoga and AI for Holistic Wellbeing. IGI Global Scientific Publishing, New York, pp. 99-130. ISBN 9798337376271

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Abstract

The chapter presents how the proposed paradigm shift in meditation applications is going to utilize a bio-responsive, and fully interactive artificial intelligence. It will move away from the passive nature of all meditation applications currently on the market by utilizing a wide variety of non-invasive physiological sensors (i.e. EEG and HRV) to fully understand the users' internal state during real time as they are practicing yoga. The proposed system will be able to provide the users with intelligent, real-time feedback as they go through the classical yogic states of Dhāraṇā (concentration), and Dhyāna (meditation). Also, the proposed system will be able to allow the users to reach a deep state of relaxation using techniques such as Yoga-Nidra. Through establishing the ethical framework of the AI system (based upon the Yamas and Niyamas), it will be ensured that the AI system promotes the growth of self-awareness and inner stillness, rather than promoting digital dependency.

Item Type: Book Section
Uncontrolled Keywords: Artificial intelligence | Meditation | Yoga-Nidra
Subjects: Physical, Life and Health Sciences > Public Health, Environmental and Occupational Health
Physical, Life and Health Sciences > Computer Science
Social Sciences and humanities > Social Sciences > Health (Social sciences)
Depositing User: Mr. Syed Anas Ali
Date Deposited: 02 Jul 2026 04:56
Last Modified: 02 Jul 2026 04:56
Official URL: https://doi.org/10.4018/979-8-3373-7625-7.ch005
URI: https://pure.jgu.edu.in/id/eprint/11900

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