Recent advancements in the manufacturing and commercialisation of miniaturised sensors
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …

Virtual reality exposure therapy (VRET) can have a significant impact towards assessing and
potentially treating various anxiety disorders. One of the main strengths of VRET systems is …

Physiological signals have shown to be reliable indicators of stress in laboratory studies, yet
large-scale ambulatory validation is lacking. We present a large-scale cross-sectional study …

Driver's stress detection is a critical research area that helps reduce the likelihood of traffic
accidents and driver's health complexities due to prolonged stress. Previous work in this …

Stress recognition is the process of identifying and assessing an individual's physiological
and psychological responses to stressors, which has significant implications for human well …

This paper aims to develop an objective index for anxiety based on features derived from
electroencephalogram (EEG) and photoplethysmogram (PPG) collected from wearable …

The ever-connected world created by smartphones has led to initiatives like a 'digital detox',
in which smartphone users consciously disconnect from email, social media and internet in …

We analyse optimal rejection strategies for classifiers with input space partitioning, eg
prototype-based classifiers, support vector machines or decision trees using certainty …

Background and objective Detection and labelling of an increment in the human stress level
is a contribution focused principally on improving the quality of life of people. This work is …

The sklvq package is an open-source Python implementation of a set of learning vector
quantization (LVQ) algorithms. In addition to providing the core functionality for the GLVQ …