The future of wearable EEG: A review of ear-EEG technology and its applications Page 1 Journal
of Neural Engineering ACCEPTED MANUSCRIPT The future of wearable EEG: A review of …

Electroencephalogram (EEG) records the electrical activity of neurons in the cerebral cortex
and is used extensively to diagnose, treat, and monitor psychiatric and neurological …

Importance: Brain–computer interface (BCI) decodes and converts brain signals into
machine instructions to interoperate with the external world. However, limited by the …

Speech imagery (SI) is a Brain-Computer Interface (BCI) paradigm based on EEG signals
analysis where the user imagines speaking out a vowel, phoneme, syllable, or word without …

Background and objective: The development of deep learning has led to significant
improvements in the decoding accuracy of Motor Imagery (MI) EEG signal classification …

Objective. In this paper, an around-ear EEG system is investigated as an alternative
methodology to conventional scalp-EEG-based systems in classifying human affective states …

Speech imagery-based Brain-computer interface (BCI) using Electroencephalogram (EEG)
signal is a promising area of research for individuals with severe speech production …

BCI is a rapidly growing field within biomedical engineering as it enables a direct connection
between the central nervous system and an external device. BCI detects brain signals using …

Brain-Computer Interfaces (BCIs) aim to establish a pathway between the brain and an
external device without the involvement of the motor system, relying exclusively on neural …

Educational institutions have been adopting business simulation games as a resource for
developing skills and competencies. However, the real-time study of aspects related to …