The attention mechanism of the Transformer has the advantage of extracting feature
correlation in the long-sequence data and visualizing the model. As time-series data, the …

Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that presents
challenges in communication, social interaction, repetitive behaviour, and limited interests …

Classifying limb movements using brain activity is an important task in Brain-computer
Interfaces (BCI) that has been successfully used in multiple application domains, ranging …

Authentication of meat floss origin has been highly critical for its consumers due to existing
potential risks of having allergic diseases or religion perspective related to pork-containing …

This paper presents an automatic method for finding optimal channels in Brain Computer
Interfaces (BCIs). Detecting the effective channels in BCI systems is an important problem in …

The electrical waveforms generated by brain named electroencephalogram (EEG) signals,
require certain special processing for using them as part of applications. EEG signals need …

Epilepsy is an infirmity which affects the brain causing repeated seizures. An automatic
novel method is used for analyzing the EEG signal and for detecting epileptic seizure …

Neurophysiological evidence shows that interpersonal action coordination is accompanied
by interbrain synchronization (IBS). However, the functional significance of this association …

This paper presents a design exploration of a new EEG-based embedded system for home
devices control. Two main issues are addressed in this work: the first one consists of an …

The purpose of this chapter is to explore the idea of using EEG signals as a biometric
modality to recognize individuals. Considered as a variant of Brain Computer Interface (BCI) …