Given a database built from the recordings of 30 study participants performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors. Classify activities into one of the six activities performed.

In the Jupyter notebook you can see an implementation of Support Vector Machine algorithm using sklean library for python. This supervised learning model implicitly maps their inputs into high-dimensional feature spaces and separate in categories. Accuracy of the model achieve 96% after using a recurrent feature extraction with cross validation method.