Project Abstract

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.