Stress DeTech-tion: Revolutionizing Wellbeing in Future Networks

Abstract

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