Using the concepts of signal processing, machine learning and neural networks, predicting the motor activity(running,walking,jumping,climbing) of an individual using data collected by accelerometer and gyroscope, by applying time-series analysis
This is the official repository of the paper titled 'Activity Classification from First Person Office Videos with Visual Privacy Protection' which is accepted in IC4IR 2021.
University Project for "Intelligent Systems" course (MSc Computer Engineering @ University of Pisa). ECG Fitting, Forecasting and Activity Classification using NN, CNN, RNN and Fuzzy Systems.
This repository presents the implementation of our collaborative project between UPenn/Orthopaedics, UDel/Physical Therapy, and CMU/Engineering on exercise prediction.
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