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MECH5030_Machine_Learning_MATLAB

The following repository is for the use of a University of Leeds project within MECH5030 2020-2021.

The project uses data collected from an Arduino with IMU Sensors to gather data wirelessly using BLE.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

In order to run the "AITrainTestPipeline.mlx" there are a series of Matlab toolboxes that must be installed. If you attempt to run you may receive an message saying which toolboxes you are missing. A list of toolboxes installed are provided below:

  • Simulink - Version 10.3
  • Deep Learning Toolbox - Version 14.2
  • Mapping Toolbox - Version 5.1
  • Sensor Fusion and Tracking Toolbox - Version 2.1
  • Signal Processing Toolbox - Version 8.6
  • Statistics and Machine Learning Toolbox - Version 12.1

Installing

To install the required libraries into Matlab there is one main method.

1. Using Matlabs's Library Manager     Go to Apps -> Get More Apps... With the library manager open simply search for desired library and then click the install button.     Note: If asked to install additional libraries it is advised to choose YES otherwise the installed library may not work as it should.

Authors

  • Matthew Fisher 4th Year Mechatronics and Robotics, University of Leeds - el16m2f  
  • Ugochinyere Nzewi 4th Year Mechatronics and Robotics, University of Leeds - el17uen (Acknowledged for their assistance with the process of featurising the data within the machine learning pipeline.)

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