Sensor Data Fusion and Big Mobility Data Analytics for Activity Recognition
Dragan H. Stojanovic, Natalija M. Stojanovic, Igor Dordevic, Aleksandra I. Stojnev Ilic · 2019
The widespread use of mobile devices, such as smart phones, smart watches, bracelets, equipped with plenty of integrated sensors, provides collection of massive amounts of data and their processing and analysis on edge and cloud computing infrastructures. For the purpose of monitoring of health and activities of people, such Big mobility and IoT data must be properly processed and analyzed. In this paper, the RemoteHealth platform is presented, developed using contemporary mobile, IoT and Big Data technologies. The application implemented on RemoteHealth platform is based on sensor fusion and provides processing and analysis of Big mobility and IoT data originated from smart personal devices with the aim to detect and recognize human activities and behavior. The experimental evaluation shows that the sensor fusion increase the accuracy of activity recognition comparing to single sensor use.