Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …

Emotions are distinct reactions to internal or external events with implications for the
organism. Automatic emotion recognition is a demanding task for pattern recognition and a …

Emotions are multimodal processes that play a crucial role in our everyday lives.
Recognizing emotions is becoming more critical in a wide range of application domains …

Emotion is an instinctive state of mind created by the neurophysiological changes occurring
in the human body as reactions to various internal or external stimuli. Emotions play a vital …

The rapid identification of arousal is of great interest in various applications such as health
care for the elderly, athletes, drivers and students, among others. Therefore, advanced …

In the context of physiological monitoring applications, wearable sensor platforms usually
have to sustain long-term acquisitions, necessary to assess correctly the individual health …

Emotional intelligence (EI), a critical aspect of regulating emotions and behavior in daily life,
holds paramount significance in both psychology research and real-world applications …

This article introduces a systematic review on arousal classification based on electrodermal
activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six …

In this study, we evaluated the performance of tonic and phasic components of
Electrodermal activity (EDA) using machine learning algorithms for accurately recognizing …

Recognition of dichotomous emotional states such as happy and sad play important roles in
many aspects of human life. Existing literature has recorded diverse attempts in extracting …