Intelligent System for 3D Human Skeletal Model Analysis in Medical Diagnosis and Rehabilitation

Project Overview

This repository contains the proof of concept of a system designed for the analysis of human skeletal models in 3D space using pose estimation tools based on neural networks. The primary objective of this project is to explore and demonstrate the application of modern pose estimation technologies in the fields of medical diagnosis, rehabilitation, and physical activity enhancement.

model_presentation.mp4

Background

The project forms a part of a bachelor's thesis, focusing on the utilization of advanced pose estimation tools, such as MediaPipe. These tools are leveraged to develop practical solutions that can significantly contribute to the healthcare sector, particularly in rehabilitation and medical diagnostics.

Getting Started

(Here, you can include instructions on how to set up and run your project, such as cloning the repository, installing dependencies, and executing the program.)

$ git clone https://github.com/PoseEstimationThesis/PoseEstimation.git

$ cd PoseEstimation

(Optional) Set up a Virtual Environment

It's generally recommended to set up a virtual environment to keep the dependancies separated from your system and other projects.

$ python -m venv myenv

On MacOS/Linux

$ source myenv/bin/activate

On Windows

In Command Prompt:

$ myenv\Scripts\activate

In PowerShell:

$ .\myenv\Scripts\Activate.ps1

Install Dependancies

$ pip install -r requirements.txt

Run the program

$ python src/main.py

License

MIT