This review investigates the effects of psychological stress on the human body measured
through biosignals. When a potentially threatening stimulus is perceived, a cascade of …

The problem of stress-management has been receiving an increasing attention in related
research communities due to a wider recognition of potential problems caused by chronic …

Recent developments in speech emotion recognition (SER) often leverage deep neural
networks (DNNs). Comparing and benchmarking different DNN models can often be tedious …

The detection of stress at early stages is beneficial to both individuals and communities.
However, traditional stress detection methods that use physiological signals are contact …

This paper investigates how speech and gestures convey stress, and how they can be used
for automatic stress recognition. As a first step, we look into how humans use speech and …

Staging an emergency call is a form of detection avoidance that can obscure evidence and
mislead police investigations. For example, having killed a person, a caller may stage an …

This systematic review groups and summarizes the algorithms used to detect the state of
stress and the physiological and behavioral features used to feed these algorithms …

Automatic detection of emotional stress is an active research domain, which has recently
drawn increasing attention, mainly in the fields of computer science, linguistics, and …

Starting with evolutionary considerations, this chapter provides a comprehensive overview
of vocal emotion communication. On the production/encoding side, the effects of the …

We explore possibilities for enhancing the generality, portability and robustness of emotion
recognition systems by combining data-bases and by fusion of classifiers. In a first …