A comprehensive assessment of Brain Computer Interfaces: Recent trends and challenges
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 …
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 …
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
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 …
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
Electroencephalogram (EEG)-based authentication has received increasing attention from
researchers as they believe it could serve as an alternative to more conventional personal …
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 …
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
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 …
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
The study of Electroencephalogram (EEG)-based biometric has gained the attention of
researchers due to the neurons' unique electrical activity representation of an individual …
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 …
überführen, ist eine der elementaren Herausforderungen der angewandten Forschung …