Epilepsy is a complex neurological disorder characterized by recurrent and unpredictable
seizures that affect millions of people around the world. Early and accurate epilepsy …

Detection of emotional states plays a prominent role in affective computing, decision-
making, and healthcare. Physiological signals are an ideal target for continuous and …

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

Emotions play an essential role in human life as they are linked to well-being and markers of
various diseases. Physiological signals can be used to assess emotions objectively and …

This study investigated the impact of auditory stimuli on muscular activation patterns using
wearable surface electromyography (EMG) sensors. Employing four key muscles …

Sensor-based rehabilitation physical training assessment methods have attracted significant
attention in refined evaluation scenarios. A refined rehabilitation evaluation method …

EEG signals combined with deep learning play an important role in the study of human–
computer interaction. However, the limited dataset makes it challenging to study EEG …

In this study, a new method for detecting emotions using Blood Volume Pulse (BVP) signals
and machine learning was presented. The BVP of 30 subjects from the publicly available …