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.