Stress DeTech-tion: Revolutionizing Wellbeing in Future Networks

As healthcare is becoming increasingly digitally connected, the
use of wearable technologies for self-monitoring of overall health
and mental well-being has become ubiquitous, bringing new challenges
related to the data transmission and processing. This research
project explores the cross-impact of information and communications
technologies in improving stress-related emotion recognition
systems in future networks. Two distinct tracks are delved
into: the application of learning architectures and the Internet of
Things (IoT) sensors for stress detection, and the investigation of
challenges related to telecommunication technologies in the transmission
process of emotion recognition data. We aim to pave the
way for the widespread adoption of emotion-aware technologies
by simultaneously investigating cutting-edge algorithm models for
real-time stress detection and tackling issues in telecommunication
technologies. The ultimate goal of this project is to improve
Human-Technology Interaction (HTI) and advance wellbeing in
users’ day-to-day life through a multidisciplinary approach.