Paper Title

A DEEP LEARNING-BASED REAL-TIME YOGA ASSISTANCE FOR THE VISUALLY IMPAIRED

Article Identifiers

Registration ID: IJNRD_220327

Published ID: IJNRD2406334

DOI: Click Here to Get

Authors

Shahana Shirin CP , Fathima PK , Fathimathul misba shareen , Fathima Zuhara PK , Ms.REMYA PV

Keywords

, Mediapipe, SpeechRecognition, and CNN

Abstract

Yoga offers many physical, mental, and emotional benefits, and having a trained instructor by our side can significantly enhance the experience and outcomes.Here, we’ve suggested a method that increases yoga’s accessibility and inclusivity for everybody, particularly the blind. Users can personalize their yoga experience, get real-time feedback, and even request particular exercises. The voice assistant communicates through speech-to-text and text-to-speech technologies. Using a deeplearning Convolutional Neural Network (CNN), the system is trained to predict and correct yoga positions based on key body locations. The suggested yoga posture estimate system takes advantage of the OpenPose method in MediaPipe, a popular computer vision technique for identifying and following key spots on the human body in pictures or movies. OpenPose, Mediapipe, SpeechRecognition, and CNN are index terms.

How To Cite

"A DEEP LEARNING-BASED REAL-TIME YOGA ASSISTANCE FOR THE VISUALLY IMPAIRED", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 6, page no.d406-d409, June-2024, Available :https://ijnrd.org/papers/IJNRD2406334.pdf

Issue

Volume 9 Issue 6, June-2024

Pages : d406-d409

Other Publication Details

Paper Reg. ID: IJNRD_220327

Published Paper Id: IJNRD2406334

Downloads: 000121146

Research Area: Engineering

Country: Kannur, KERALA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2406334.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406334

About Publisher

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

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

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

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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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area