AI Yoga Assistant

AI Yoga Assistant

Registration ID: IJNRD_222381

Published ID: IJNRD2405624

DOI: Click Here to Get

Jaideep Solnia , Abhishek Chauhan , Kanika Gola

Artificial Intelligence, YOGA, Deep Learning, Machine Learning

In recent years, yoga has become an integral part of life for many individuals worldwide. Consequently, there is a growing need for the scientific examination of yoga postures. It has been noted that pose detection techniques can be employed to recognize postures and help individuals perform yoga more precisely. However, recognizing postures presents a challenge due to the scarcity of datasets and the difficulty of real-time posture detection. To address this issue, a comprehensive dataset containing at least 5500 images of ten distinct yoga poses has been compiled. A tf-pose estimation algorithm, which draws a skeletal representation of the human body in real-time, is utilized. Joint angles in the human body are extracted from the tf-pose skeleton and used as features for various machine learning models. 80% of the dataset is allocated for training, while 20% is reserved for testing. This dataset has been evaluated using different machine learning classification models, achieving a 99.04% accuracy with a Random Forest Classifier.

Published Paper   E-Certificate

"AI Yoga Assistant", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.g181-g188, May-2024, Available :https://ijnrd.org/papers/IJNRD2405624.pdf

Volume 9 Issue 5, May-2024

Pages : g181-g188

Paper Reg. ID: IJNRD_222381

Published Paper Id: IJNRD2405624

Downloads: 000121236

Research Area: Computer Science & Technology 

Country: Ghaziabad, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405624.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405624

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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