Depression is a critical problem in modern society that affects an estimated 350 million
people worldwide, causing feelings of sadness and a lack of interest and pleasure …

Recently, wearable emotion recognition based on peripheral physiological signals has
drawn massive attention due to its less invasive nature and its applicability in real-life …

The automated recognition of human emotions plays an important role in develo**
machines with emotional intelligence. Major research efforts are dedicated to the …

With the increasing proliferation of embedded sensors in wearable devices, there is
potential for modeling individual emotional and mental state variations. The popular …

Recognising and monitoring emotional states play a crucial role in mental health and well-
being management. Importantly, with the widespread adoption of smart mobile and …

Depression is one of the most common mental health disorders, affecting approximately 280
million people worldwide. This condition is defined as emotional dysregulation resulting in …

Affective state recognition is a key component of any system equipped with emotional
awareness and intelligence. The ability of recognizing emotions allows the machine to better …

Ambient smart cities exist on the intersection of digital technology, disruptive innovation and
urban environments that now essentially augment affect empathy and intelligent interfacing …

Stress has become a major contributor to various diseases and health issues, prolonged
exposure can lead to a shorter lifespan and increased mortality. Hence detecting the stress …

In this paper, we present our solution to the MuSe-Personalisation sub-challenge in the
MuSe 2023 Multimodal Sentiment Analysis Challenge. The task of MuSe-Personalisation …