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The movement data of an VR game for elederly people will be analyzed. This is an EDA on the movement data (cartesian coordinates). The goal is to find relevant movement events, that classify the game as meaningful for supporting flexibility training.
Real-time movement-based music player using phone accelerometric and gyroscopic data. The core of the project is a Max/MSP file that is linked to python files using a trained deep learning model to add special movements possibilities to the pipeline.