Gesture Recognition using Dynamic Time Warping

Abstract

This paper presents an approach to the recognition of human gestures in the context of the “Seamless” project. In the project, data collected by IoT sensors can be navigated through gesture recognition algorithms. The aim of recognizing human gestures in Seamless is to give commands through a wearable control device. The paper outlines the Seamless project and then concentrates on our approach to understand a set of gestures using Machine Learning. The employed model and the results are illustrated.