Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
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Updated
Mar 16, 2024 - Jupyter Notebook
Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
The purpose of this project is to detect the squat angles which will be helpful for the fitness instructors to provide corrective advice where appropriate.
Detect Squat position using MediaPipe
squats detection and counting desktop application
Powerlifting Formulas Calculator (Wilks, WilksV2, Dots, IPF, Reshel and Glossbrenner)
Official code for the iSTAR 2023 paper "A Case Study for the Automatic Supervision of Body-Weight Exercises: The Squat"
This is an Android application designed to facilitate the collection and labeling of squat pose data. This tool is essential for training the rep-counting classifier used in the TrAIner app.
an intuitive api for open-powerlifting database
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