AI-BASED FITNESS TRAINER

AI-BASED FITNESS TRAINER
Author(s):
Anuj Lamba, Anand Kumar Nayak, Pranay Pimple, Vaibhav Patil, Dr. Pawan Bhaldare, Ram Kumar Solanki
Keywords:
Body Recognition, Deep Learning, and Image Processing
Abstract
Predicting Virtual assistants are an essential part of modern life and are crucial to how we do our everyday business. About 27% of people utilize AI virtual assistants to complete daily chores, according to a 2019 Clutch survey report that was published. With our idea for an AI-based fitness trainer, we intend to investigate the rapidly developing field of artificial intelligence. Our research led us to create Fitcercise, a programmed that counts the repetitions of a particular exercise while detecting the user's workout stance and providing detailed, individualized suggestions on how the user can improve their form. Using AI-driven human pose estimation technology, the software recognizes a person's stance, analyses the geometry of the posture using data and real-time video, and then counts the number of repetitions of the specific exercise.
Article Details
Unique Paper ID: 160529 Publication Volume & Issue: Volume 10, Issue 1 Page(s): 614 - 617
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