ACTIVE PROJECT

The ACTIVE project focuses its research on a novel, dynamic & multi-level Human Activity Recognition (HAR) approach. The project aims to develop novel modeling, multimodal fusion and classification schemes able to incorporate the spatio-temporal structure of the sensing data and capitalize it, while dealing with insufficient amounts of training information and nuisance factors. In this line, the main goal of ACTIVE is to develop novel methods to reliably recognize and understand complex activities in smarthomes, even upon violations of static assumptions about sensor availability and characteristics of the environment. ACTIVE picks up on the key essential methodological underpinnings of Smart Home AAL scenario, specifically targeting state of art advances towards more detailed and robust recognition (and understanding) of domestic user behaviour within its context, through the fusion of static and dynamic sensors; specifically, unobtrusive IoT sensors, wearables and sensors of a mobile..

Primary location: Thessaloniki Greece