PUPPy is a deep learning model designed to process accelerometer and gyroscope data from a smartphone to predict a user’s motion. We compare PUPPy to existing deep learning models with a new measure of cumulative error to evaluate model performance. We introduce a novel concept of sequence prediction and include concepts from existing solutions to create a better performing model.
Link to demo using Google Colab. https://colab.research.google.com/drive/11q3jemGFtz71SMb4CFUZjhjPySG0i7eb
Video Presentation Slides
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Example of Path Tracking