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This repository contains the implementation of the research paper tVelloso, E., Bulling, A., Gellersen, H., Ugulino, W. and Fuks, H., 2013, March. Qualitative activity recognition of weight lifting exercises. In Proceedings of the 4th Augmented Human International Conference (pp. 116-123).

License: MIT License

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workout-training-using-ml's Introduction

workout-training-using-ml

This repository contains the implementation of the research paper, "Qualitative activity recognition of weight lifting exercises"

Dataset

The dataset was collected by the authors as described in the paper[1].

Requirements

Python

Install the required libraries through command line

pip3 intsall -r requirements.txt

Installation

Clone this repository: git clone https://github.com/manvimadan12/workout-training-using-ml.git or click Download ZIP in right panel of repository and extract the code

Results

Variable importance of factors that determine the quality of the movement while working out

References

Velloso, E., Bulling, A., Gellersen, H., Ugulino, W. and Fuks, H., 2013, March. Qualitative activity recognition of weight lifting exercises. In Proceedings of the 4th Augmented Human International Conference (pp. 116-123).

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