Gesture Recognition for Navigation in Multi-Dimensional Data

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