In recent years, the rapid advances in machine learning (ML) and information fusion has
made it possible to endow machines/computers with the ability of emotion understanding …

Stress and mental health have become major concerns worldwide. Research has already
extensively investigated physiological signals as quantitative and continuous markers of …

We present a multimodal data set for the analysis of human affective states. The
electroencephalogram (EEG) and peripheral physiological signals of 32 participants were …

A large number of studies have demonstrated the benefits of natural environments on
people's health and well-being. For people who have limited access to nature (eg, elderly in …

This paper presents a user-independent emotion recognition method with the goal of
recovering affective tags for videos using electroencephalogram (EEG), pupillary response …

Stress is a major growing concern in our day and age adversely impacting both individuals
and society. Stress research has a wide range of benefits from improving personal …

This paper presents methods for collecting and analyzing physiological data during real-
world driving tasks to determine a driver's relative stress level. Electrocardiogram …

The ability to recognize emotion is one of the hallmarks of emotional intelligence, an aspect
of human intelligence that has been argued to be even more important than mathematical …

This article introduces a new and unobtrusive wearable monitoring device based on
electrodermal activity (EDA) to be used in health-related computing systems. This paper …

This paper proposes to maintain player's engagement by adapting game difficulty according
to player's emotions assessed from physiological signals. The validity of this approach was …