Project Description

Emotion recognition is a topic in the area of human interactions. Physiological signals seem to be an appropriate way for emotion recognition and specific sensors are required to collect these data. This project, whose title we summarized with the acronym STARGATE (DreSs The future: novel combined weARable inteGrAted sysTEms), presents an emotion recognition system based on physiological signals. In particular, we want to realize a multi-sensors wearable device able to recognize emotions. While several embedded sensors and actuators have been proposed in the literature, only specifically tailored solutions are usually encountered (e.g. smartwatches, clips that may be applied to glasses, biosensors embedded in a dress fabric…), lacking a unified framework that may connect many devices. Filling this gap may permit the realization of advanced interactive personal area networks based on embedded wearable devices, capable for instance of monitoring a person’s emotions, assessing the stress level, and reacting accordingly. To this aim the project team includes both STEM Research Units, covering both the skills required to realize technology-intensive items (i.e. embedded sensing of physical and chemical quantities, materials, embedded small-sized electronics, data transfer protocols, and estimation algorithms) and a Research Unit from an Academy of Fine Arts, whole skills will permit to identity significant applications of the frameworks, identifying case studies that will be translated into prototypes.