With advances in Machine Intelligence in recent years, our smartwatches and smartphones can now use apps empowered with Artificial Intelligence to predict human activity, based on raw accelerometer and gyroscope sensor signals. This problem is commonly referred to as Sensor-based Human Activity Recognition (HAR).
This repository contains the source code of my solution to the HAR problem. A detailed analysis of the approach can be found on my blog post (address below).
Original Blog Post: here
Contact: wdalmeida6@gmail.com
UPDATE: currently revamping my source code to adapt it to the latest TensorFlow releases; things have changed a lot since version 1.1. I will update this repository when the new code is ready.