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
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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