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INTERNATIONAL RESEARCH JOURNAL OF MODERNIZATION IN ENGINEERING TECHNOLOGY AND SCIENCE

(Peer-Reviewed, Open Access, Fully Referred International Journal)

ISSN: 2582-5208

www.irjmets.com

Paper Details
Paper Key: IR**************20
Paper Title: FormFit: A Machine Learning Approach for Real-Time Exercise Form Feedback using MediaPipe
Published Date: 03 Jul 2024
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Author(s)
Shweta S Kaddi
Shweta S Kaddi
Organization: JSS Academy of Technical Education
Prajwal Surendra
Prajwal Surendra
Organization: JSS Academy of Technical Education
Prerana N S
Prerana N S
Organization: JSS Academy of Technical Education
Abstract

In today's fast-paced world, many individuals struggle to find time and resources to prioritize their physical fitness. Traditional gym memberships can be costly and time-consuming, often requiring travel and adherence to fixed schedules. As a result, there's a growing need for accessible and convenient solutions that empower people to exercise effectively from anywhere. FormFit is a virtual fitness assistant designed to bridge this gap. By harnessing the power of machine learning and computer vision technologies like OpenCV and MediaPipe, FormFit offers real-time posture guidance and exercise tracking through live or recorded videos. FormFit's user-friendly interface and comprehensive exercise coverage, including pushups, jump squats, dumbbell exercises, and more, make it an invaluable tool for individuals seeking affordable, time-efficient ways to stay fit and healthy. FormFit currently supports eight exercises aimed at targeting different muscle groups like chest, waist, shoulders, etc., with repetition counting included for all these exercises. Additionally, there's potential for future expansion to include more exercises, further enhancing its versatility and effectiveness.

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