Get Permission Narayanan: Yoga AI - Integrating artificial intelligence with yoga and therapy for personalized healthcare


Introduction

Yoga AI, is a groundbreaking fusion of ancient yoga wisdom and modern artificial intelligence (AI). This innovative platform revolutionizes how we approach healthcare, wellness, and self-discovery. Yoga AI combines are - Timeless yoga principles and practices - Advanced AI algorithms and machine learning - Personalized recommendations for optimal wellness. This powerful synergy enables to focus on Tailored yoga therapy for chronic diseases and stress management. They have enhanced patient engagement and empowerment and streamlined clinical workflows for healthcare professionals. Holistic wellness and self-awareness for individuals. Join the Yoga AI journey, where technology meets tradition, and unlocks a new era of integrative healthcare and human potential. Explore Yoga AI's features and benefits are Personalized yoga plans based on health data and goals, AI-driven insights for optimized wellness, and Access to expert yoga therapists and healthcare professionals. Community support and resources for a holistic journey, Embrace the future of wellness with Yoga AI.

Aim of a Study

The aim of a study is different from the research objectives, is more specific, and indicates the aim will be addressed using AI in Yoga.

Objective of Study

  1. To develop and validate an AI-powered yoga therapy platform for personalized wellness and disease management.

  2. To investigate the effectiveness of Yoga AI in reducing stress, anxiety, and depression in individuals.

  3. To explore the impact of Yoga AI on chronic disease management, including diabetes, hypertension, and cardiovascular disease.

  4. To examine the feasibility and acceptability of Yoga AI among healthcare professionals and patients

  5. To analyze the cost-effectiveness of Yoga AI compared to traditional yoga therapy approaches

  6. To investigate the potential of Yoga AI to enhance cognitive function, emotional regulation, and overall well-being.

  7. To develop and test AI-driven yoga protocols for specific populations, such as older adults, children, or athletes.

  8. To examine the integration of Yoga AI with existing healthcare systems and electronic health records.

  9. To explore the ethical considerations and privacy concerns related to the use of AI in yoga therapy.

  10. To establish a framework for future research and development in the field of Yoga AI.

These aims can serve as a starting point for exploring the vast potential of Yoga AI in transforming healthcare and wellness.

Materials and Methods

Yoga AI is revolutionizing the practice of yoga, making it more accessible, personalized, and effective.1 Here are some key aspects of Yoga AI:

Personalized Yoga: AI algorithms analyze user data, such as body measurements, movement patterns, and feedback, to create a personalized one-individual practice of yoga sequences and provide real-time feedback during practice.1 AI algorithms can create customized yoga sequences based on individual needs, goals, and abilities.2 Virtual Instructors: AI-powered virtual instructors offer personalized guidance, feedback, and assistance tailored to individual needs, making yoga more accessible and convenient.1 Teacher Impact:3 AI enables yoga teachers to expand their reach and impact, connecting with students globally and offering personalized guidance and support remotely.1 Wearable Devices: AI-driven wearable devices track progress and performance, providing valuable insights into one’s practice and health status knowledge, enabling individuals to set achievable goals and make informed decisions.1 Yoga Sequencing: AI optimizes yoga sequencing, creating customized practices that cater to the unique requirements of each practitioner, minimizing the risk of injury and enhancing benefits.1 Yoga Education: AI is transforming yoga education, making it more accessible, personalized, and effective, with virtual assistants, chatbots, and online platforms powered by AI.1 Studies on Yoga AI are exploring the potential of AI to enhance yoga practice, make it more accessible and personalized, and improve overall well-being.1, 4, 2, 5 Some key areas of focus include: AI algorithms that can create customized yoga sequences based on individual needs, goals, and abilities.2 Real-time Feedback: AI-powered systems can provide instant feedback on posture, alignment, and technique, helping practitioners improve their practice.6, 7Yoga Pose Recognition: AI can recognize and classify yoga poses, enabling real-time guidance and correction.6, 5 Injury Prevention: AI can help identify potential injury risks and provide personalized recommendations to mitigate them.7, 8 Accessibility: AI-powered yoga platforms can make yoga more accessible to people with varying abilities, injuries, or limitations.2

These studies demonstrate the potential of Yoga AI to revolutionize The practice of Yoga, making it more effective, enjoyable, and inclusive.1, 4, 2, 5 stress Reduction and Meditation. AI tools provide personalized guidance and real-time feedback for stress reduction and meditation, enhancing the effectiveness of the practice and fostering mindfulness. 9, 10, 11, 12, 3

Figure 1

Neuro link with AI yoga poses

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/c63cb29a-703c-4a60-b932-562f3e38d479image1.png

Results

The integration of AI in yoga healthcare has shown promising results, including:

Improved personalized yoga recommendations: AI algorithms can analyze individual health data and provide tailored yoga sequences for optimal benefits. Enhanced injury prevention: AI-powered systems can identify potential injury risks and offer personalized mitigation guidance. Increased accessibility: AI-driven yoga platforms can make yoga more accessible to people with varying abilities, injuries, or limitations. Better stress management: AI-guided meditation and yoga practices have been shown to reduce stress and anxiety levels. Improved chronic disease management: AI-powered yoga programs have effectively managed chronic diseases like diabetes, hypertension, and cardiovascular disease. Increased patient engagement: AI-driven yoga platforms have increased patient participation and engagement in their healthcare. Cost-effective: AI-powered yoga healthcare solutions can reduce healthcare costs by providing personalized and preventive care. Data-driven insights: AI can provide valuable insights into the effectiveness of yoga practices and help healthcare professionals make data-driven decisions. Improved mental health: AI-guided yoga practices have been shown to improve mental health outcomes, including reduced symptoms of depression and anxiety. Enhanced overall well-being: AI-powered yoga healthcare solutions can improve overall physical, mental, and emotional well-being. Science and Technology growth; one can adapt, accept, and understand the need to move more advancements to foster innovation in the healthcare sector to better health and wellness.

These results demonstrate the potential of AI in yoga healthcare to revolutionize the way approaches to get the best wellness and disease management.9, 10, 11

Source of Funding

None.

Conflict of Interest

None.

References

1 

A Bakshi D Sheikh Y Ansari C Sharma H Naik Pose estimate-based Yoga instructorInt J Recent Adv Multidiscip Top202122703

2 

SK Yadav AK Singh A Gupta JL Raheja Real-time Yoga recognition using deep learningNeural Comp Appl201931934961

3 

LB Thomas SM Mastorides NA Viswanadhan CE Jakey AA Borkowski Artificial Intelligence: Review of Current and Future Applications in MedicineFed Pract2021381152738

4 

K Laxman Exploring the Impact of a Locally Developed Yoga Program on the Well-Being of New Zealand School-Children and Their Learning. Alter Ther Health Med20202723440

5 

Z Wu J Zhang K Chen C Fu Yoga Posture Recognition and Quantitative Evaluation with Wearable Sensors Based on Two-Stage Classifier and Prior Bayesian NetworkSensors (Basel)201919235129

6 

SS Narayanan DK Misra K Arora H Rai Yoga Pose Detection Using Deep Learning TechniquesSoc Sci Res Network202118

7 

Y Agrawal Y Shah A Sharma Implementation of Machine Learning Technique for Identification of Yoga PosesIEEE 9th International Conference on Communication Systems and Network Technologies (CSNT)2020403

8 

J Jose S Shailesh Yoga asana identification: A deep learning approachIOP Conference Series: Materials Science and Engineering2021111012002

9 

DP Nagalakshmivallabhaneni The analysis of the impact of yoga on healthcare and conventional strategies for human pose recognitionTurk J Comp Mathe Educ (TURCOMAT)2021126177283

10 

C Long E Jo Y Nam Development of a yoga posture coaching system using an interactive display based on transfer learningJ Supercomp2022784116

11 

DM Kishore S Bindu NK Manjunath Smart Yoga instructor for guiding and correcting Yoga postures in real timeInt J Yoga202215325461

12 

A Kumar A Raja A Sharma K Jain Yoga pose detection and feedback generation: A review Int J Multidiscip Res Anal2023425463



jats-html.xsl


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

  • Article highlights
  • Article tables
  • Article images

Article History

Received : 19-09-2024

Accepted : 26-10-2024


View Article

PDF File   Full Text Article


Copyright permission

Get article permission for commercial use

Downlaod

PDF File   XML File   ePub File


Digital Object Identifier (DOI)

Article DOI

https://doi.org/ 10.18231/j.agems.2024.015


Article Metrics






Article Access statistics

Viewed: 61

PDF Downloaded: 9