FITNESS TRAINER USING COMPUTER VISION AND MACHINE LEARNING

Registration ID: IJNRD_187241

Published ID: IJNRD2305177

DOI: Click Here to Get

Avishek Thakur , Sumeet Dhiman , Amitesh Kumar , Sandeep Kumar

Computer vision

Physical activity and exercise can have instant and everlasting health benefits. But when it comes to working out, form is the most dominant thing. Poor form places undue intensity on muscles, tendons, and ligaments, leading to strains and sprains. Good form lessen overcompensation and the likelihood of injury. This is one of the many factors why people work under the guidance of a trainer. Whether one wants to develop an individualized program, or simply feel that they would benefit from the additional accountability, a personal trainer can be a great resource. Online coaching and virtual training have emerged as a staple in the fitness industry. Because of technology improvements, an appropriate application may provide continual reminders and the much-needed motivation to focus more on exercise and diet. AI has extended its roots in practically every functional area of business over the years. Pose estimation is one of the most prominent AI solutions; it is used to calculate the position and orientation of the human body given a picture of a person. Our objective is to build an automated fitness coach system that can do everything a physical personal trainer does. The programe collects motion data from users through a camera and then uses human posture estimation, repetition counting, and form evaluation via voice-based real-time feedback.

Published Paper   E-Certificate

Avishek Thakur, Sumeet Dhiman , Amitesh Kumar , & Sandeep Kumar (May-2023). FITNESS TRAINER USING COMPUTER VISION AND MACHINE LEARNING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), b580-b587. https://ijnrd.org/papers/IJNRD2305177.pdf

Volume 8 Issue 5, May-2023

Pages : b580-b587

Paper Reg. ID: IJNRD_187241

Published Paper Id: IJNRD2305177

Downloads: 000121988

Research Area: Engineering

Country: Greater Noida, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305177.pdf

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

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

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