Cough recognition system (ongoing)

Starting Date: May 2021
Duration: 6 weeks
Time commitment: 12 hours / week
Prerequisites: Expertise in MATLAB, Python, Raspbian; basic interest in AI

The project requires the automated sorting of files and Raspberry Pi implementation of a Matlab trained CNN model for cough recognition and storage. This will involve acquiring data from a low-cost IoT based processing system (Raspberry Pi) connected to a network of CO2, temperature, humidity, PM 2.5 and sound sensors array.

This project would suit somebody who is familiar with Matlab coding, Raspberry Pi and Python projects and is comfortable with monitoring sensors via multiple communication protocols (I2C, BLE, UART). The expected work is to deploy a Matlab code to Raspberry Pi and acquire data from all the sensor, save it in a predefined format and send it to a storage server.

 For further details, please contact Alin Tisan (alin.tisan@rhul.ac.uk).