Stress DeTech-tion: Revolutionizing Wellbeing in Future Networks

Abstract

As healthcare is becoming increasingly digitally connected, theuse of wearable technologies for self-monitoring of overall healthand mental well-being has become ubiquitous, bringing new challengesrelated to the data transmission and processing. This researchproject explores the cross-impact of information and communicationstechnologies in improving stress-related emotion recognitionsystems in future networks. Two distinct tracks are delvedinto: the application of learning architectures and the Internet ofThings (IoT) sensors for stress detection, and the investigation ofchallenges related to telecommunication technologies in the transmissionprocess of emotion recognition data. We aim to pave theway for the widespread adoption of emotion-aware technologiesby simultaneously investigating cutting-edge algorithm models forreal-time stress detection and tackling issues in telecommunicationtechnologies. The ultimate goal of this project is to improveHuman-Technology Interaction (HTI) and advance wellbeing inusers’ day-to-day life through a multidisciplinary approach.