A comprehensive assessment of Brain Computer Interfaces: Recent trends and challenges

D Yadav, S Yadav, K Veer - Journal of Neuroscience Methods, 2020 - Elsevier
Background An uninterrupted channel of communication and control between the human
brain and electronic processing units has led to an increased use of Brain Computer …

EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system

M Zheng, B Yang, Y Xie - Medical & biological engineering & computing, 2020 - Springer
Transfer learning enables the adaption of models to handle mismatches of distributions
across sessions or across subjects. In this paper, we proposed a new transfer learning …

Gauging human visual interest using multiscale entropy analysis of EEG signals

M Fraiwan, M Alafeef, F Almomani - Journal of Ambient Intelligence and …, 2021 - Springer
Gauging human emotion can be of great benefit in many applications, such as marketing,
gaming, and medicine. In this paper, we build a machine learning model that estimates the …

An evaluation of transfer learning models in EEG-based authentication

HY Yap, YH Choo, ZI Mohd Yusoh, WH Khoh - Brain Informatics, 2023 - Springer
Electroencephalogram (EEG)-based authentication has received increasing attention from
researchers as they believe it could serve as an alternative to more conventional personal …

Brain-computer interface prototype to support upper limb rehabilitation processes in the human body

D Camargo-Vargas, M Callejas-Cuervo… - International Journal of …, 2023 - Springer
The high potential for creating brain-computer interfaces (BCIs) and video games for upper
limb rehabilitation has been demonstrated in recent years. In this work, we describe the …

A WiSARD network approach for a BCI-based robotic prosthetic control

M Staffa, M Giordano, F Ficuciello - International Journal of Social …, 2020 - Springer
There are significant research efforts underway in the area of automatic robotic-prosthesis
control based on brain–computer interface aiming at understanding how neural signals can …

Person authentication based on eye-closed and visual stimulation using EEG signals

HY Yap, YH Choo, ZI Mohd Yusoh, WH Khoh - Brain informatics, 2021 - Springer
The study of Electroencephalogram (EEG)-based biometric has gained the attention of
researchers due to the neurons' unique electrical activity representation of an individual …

Mensch und Technik in der angewandten Forschung

NH Müller, AE Schütz, T Fertig - Faktor Mensch, 2022 - Springer
Zusammenfassung Empirische Erkenntnisse der Grundlagenforschung in den Alltag zu
überführen, ist eine der elementaren Herausforderungen der angewandten Forschung …