MATLAB-Human-Activity-Recognition

Welcome to the MATLAB Human Activity Recognition project! This repository is dedicated to the development of an advanced system for analyzing and classifying human activities using MATLAB. Our work focuses on leveraging sensor data to recognize various activities such as walking, running, sitting, and more, with potential applications in health monitoring and interactive technologies.

Project Overview

Our project involves:

• Data Collection: Utilizing MATLAB Mobile to gather accelerometer data directly from mobile devices.
• Feature Extraction: Implementing algorithms in MATLAB to extract meaningful features from raw data.
• Model Training: Using MATLAB's Classification Learner app to train and evaluate machine learning models.
• Model Validation: Testing the models with new, unseen data to ensure accuracy and robustness.
• Application Development: Creating a user-friendly MATLAB application for real-time activity monitoring.

Getting Started

Prerequisites

• MATLAB and MATLAB Mobile installed on your device.
• Access to MATLAB Online with a MathWorks Account.

Installation

1. Clone this repository to your local machine or download the files.
2. Open the MATLAB files in your MATLAB environment to explore the project.

Usage

To run the analysis scripts:

1. Navigate to the directory containing the project files.
2. Open the .m files with MATLAB.
3. Run each script to perform the analysis, or use the Classification Learner app for interactive model training.

Contributing

Contributions to improve the project are welcome. Please fork the repository and submit a pull request with your enhancements. For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Authors

• Alif Sathar
• Ruhan Anesh
• Maanas Dileep Kumar

Acknowledgments

• Thanks to all contributors who have helped in refining the models and improving the application.
• Special thanks to our academic mentors at [Your University/Institute] for their guidance and support.

Contact

• Email: mdk130@student.aru.ac.uk
• LinkedIn: [Maanas Dileep Kumar(your-linkedin-profile-link)

Thank you for visiting our project. We hope this repository helps you in understanding and developing human activity recognition systems using MATLAB.

License

This project is not open-source and is protected under a custom all-rights-reserved license.
Unauthorized use, copying, or distribution is strictly prohibited. See LICENSE.txt for details.