FitFusion: Real-Time Exercise Form Correction Using OpenCV

Brice Pimenta; Gaurav Kashelkar; Vedant Gharat; Martina Dsouza

FitFusion: Real-Time Exercise Form Correction Using OpenCV

Authors: Brice Pimenta, Gaurav Kashelkar, Vedant Gharat, Martina Dsouza

Unique Paper ID: 175928
Volume: 11
Issue: 11
PageNo: 4510-4514

Keywords: Exercise Form Corrector Convolutional Neural Network (CNN) Machine Learning OpenCV Exercise Applications

Abstract:
Maintaining the correct form during exercise is crucial to preventing injuries and improving performance. While personal trainers can help, factors like cost, availability, and personal preference often make them inaccessible. To bridge this gap, we developed an AI-powered Exercise Form Correction System that uses OpenCV-based pose estimation to analyze workout posture in real-time and provide instant feedback. Our web-based application, built with HTML, CSS, JavaScript, React and OpenCV, tracks key body points to evaluate posture accuracy. If an incorrect form is detected, users receive immediate corrections through pop-up notifications. Additionally, the system includes a BMI calculator and generates customized meal plans based on BMI categories, offering a more holistic fitness solution. Testing and evaluation show that our approach effectively identifies improper exercise forms, making it a cost-effective and accessible alternative to traditional personal training. Future advancements could include deep learning integration, larger datasets, and wearable sensor fusion to enhance accuracy and adaptability, making AI-driven fitness assistants even more effective.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 4510-4514

FitFusion: Real-Time Exercise Form Correction Using OpenCV

Available:https://ijirt.org/Article?manuscript=175928

02 Jan, 2025

Exercise Posture Correction Application: A comprehensive review

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now