Iola Walker: A Mobile Footfall Detection System for Music Composition

This outing is part of a larger music technology research project. The objective is to find a way to enhance music using hardware and software. This is the documentation for the Whimsical first part of the research project: it's an android app that detects a wearer's footfalls by running live inference on an LSTM. The system works by getting data from an Mbient Labs IMU to a mobile app over bluetooth. After you move the .csv file to a computer with a GPU, you can use the python code to train an LSTM on that data. You then export the LSTM to the android app and can begin detecting footfalls. Feel free to download and experiment with the code. It's meant to be read and improved upon by you and your LLM codewriter of choice! https://github.com/willbjames/iolawalker