Tushar Pandit
, Sourabh TIkone , Arpita Shinde , Nikhil Dhavase
Machine learning, Yoga, Convolutional Neural Network, Deep Learning
— One Yoga is a popular form of physical
exercise and meditation that requires precise body
postures or poses. Performing yoga poses correctly is
crucial to maximize the benefits and prevent injuries.
Therefore, a reliable and accurate yoga pose detection
system can assist practitioners in achieving proper form
and alignment during their yoga practice. This abstract
presents an overview of a yoga pose detection system that
utilizes computer vision and machine learning techniques
to automatically identify and track yoga poses in real
time.
The proposed system leverages deep learning
algorithms and poses estimation models to detect and
recognize yoga poses. It takes input from a camera or a
video stream and processes the visual data to extract pose
information. The system employs state-of-the-art
convolutional neural networks (CNNs) to perform pose
estimation, capturing the spatial relationships between
different body joints and body parts. A large annotated
dataset of yoga pose images and corresponding labels is
created to train the yoga pose detection system. The
dataset is used to fine-tune the pre-trained CNN models,
allowing them to learn the specific features and patterns
associated with different yoga poses. The trained models
are then deployed to the detection system, which can run
on a desktop computer, mobile device, or embedded
system.
Volume 11
Issue 2,
February-2024
Pages : a585-a591
Paper Reg. ID: TIJER_107530
Published Paper Id: TIJER2402073
Downloads: 000276
Research Area: Science and Technology
Country: pune, Maharashtra, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
