Machine Learning approach to sport activity recognition from inertial data

In this thesis we consider an Activity recognition problem for Cross-Country Skiing; the goal of this work is to recognize different types of Cross Country techniques from inertial sensors equipped on a wear- able device. We want to apply the SAX technique to the acceleration signals, specifically on the Atomic Gestures extracted from them. Using the SAX Distance we want to able to recognize which activity an athlete is performing