This paper focuses on classification of motor imagery in Brain Computer Interface (BCI) by
using classifiers from machine learning technique. The BCI system consists of two main …

Most EEG–based motor imagery classification research focuses on the feature extraction
phase of machine learning, neglecting the crucial part for accurate classification which is the …

Abstract Brain-Computer Interface (BCI) or Human-Machine Interface now becoming vital
biomedical engineering and technology field which applying EEG technologies to provide …

Abstract Polymer Optical Fiber (POF)-based sensors have gained recognition in recent
years for biomedical applications because of their low cost, physical properties, and …

Motor Imagery Brain Computer Interface is the cognitive process and most momentary brain
activity which operate various limb movements depends on EEG brain signals by just …

Compared with the efficacy of traditional physical therapy, a new therapy utilizing motor
imagery can induce brain plasticity and allows partial recovery of motor ability in patients …

The technical industry, the military, or the medical world is benefitted through the most
interesting benchmark to our entire society, the Brain-computer interface (BCI). In military …

Electroencephalogram (EEG) signals being time-resolving signals, suffer very often from
baseline drift caused by eye movements, breathing, variations in differential electrode …

Robotic prosthetic legs have the potential to significantly improve the quality of life for lower
limb amputees to perform locomotion in various environments and task conditions. However …

This paper aims to provide a comprehensive examination of the Brain-Computer Interface
and the more scientific discoveries that have resulted from it. The ultimate goal of this review …