Emotion is a significant parameter in daily life and is considered an important factor for
human interactions. The human-machine interactions and their advanced stages like …

In recent years, automated seizure identification with electroencephalogram (EEG) signals
has received considerable attention and appears to be an appropriate approach for …

One of the most crucial use of hands in daily life is gras**. Sometimes people with
neuromuscular disorders become incapable of moving their hands. This article proposes a …

Introduction: We propose an automatic sleep stage scoring model, referred to as
SeriesSleepNet, based on convolutional neural network (CNN) and bidirectional long short …

Deep learning techniques have drawn considerable interest in emotion recognition due to
recent technological developments in healthcare analytics. Automatic patient emotion …

Emotions play a crucial role in human communication, and accurately recognizing them is
essential for the development of intelligent systems capable of effective human interaction …

Introduction: Fatigue is dangerous for certain jobs requiring continuous concentration. When
faced with new datasets, the existing fatigue detection model needs a large amount of …

The finger flexion movement prediction is a challenging problem of the brain-computer
interface. This chapter focuses on decoding the finger flexion movement using …

The lack of a robust scheme that can withstand the muscle contraction force variations
(MCFV) in pattern recognition (PR)-based myoelectric prosthesis is a major challenge that …

The brain-computer interface (BCI) technology possesses the potential to analyze
personality traits objectively. Nevertheless, the majority of the existing research on …