Welcome to the repository for the project "Automated Ergonomics Correction with Neural Networks." This project explores the application of neural networks to enhance ergonomic practices, providing automated solutions to posture correction and ergonomic assessments.
In this repository, you will find the source code, scripts, and documentation associated with the project. The key objectives of this project are:
- Ergonomics Analysis: Leveraging neural networks to assess and optimize ergonomic practices.
- Automated Posture Correction: Implementing algorithms that suggest real-time corrections to improve posture.
- Data Visualization: Tools and techniques to visualize ergonomic data and outcomes.
The full documentation of this project, including the theoretical background, methodology, experiments, and results, is detailed in the thesis.
- src/: Contains the source code for the neural network models and data processing.
- notebooks/: Jupyter notebooks with detailed walkthroughs and experiments.
- data/: Sample datasets used for training and validation.
- docs/: Additional documentation and resources.
- Automated_Ergonomics_Correction_with_Neural_Networks.pdf: The complete thesis document.
To get started with the code in this repository, follow the instructions in the README files within the src/ and notebooks/ directories.
Contributions to this project are welcome. If you have suggestions or improvements, please open an issue or submit a pull request.