Summary of over fifty years with brain-computer interfaces—a review

A Kawala-Sterniuk, N Browarska, A Al-Bakri, M Pelc… - Brain Sciences, 2021 - mdpi.com
Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

Consumer grade EEG measuring sensors as research tools: A review

P Sawangjai, S Hompoonsup… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Since the launch of the first consumer grade EEG measuring sensorsNeuroSky Mindset'in
2007, the market has witnessed an introduction of at least one new product every year by …

Wireless sensors for brain activity—A survey

M TajDini, V Sokolov, I Kuzminykh, S Shiaeles, B Ghita - Electronics, 2020 - mdpi.com
Over the last decade, the area of electroencephalography (EEG) witnessed a progressive
move from high-end large measurement devices, relying on accurate construction and …

Towards an accessible use of smartphone-based social networks through brain-computer interfaces

V Martínez-Cagigal, E Santamaría-Vázquez… - Expert Systems with …, 2019 - Elsevier
This study presents an asynchronous P300-based Brain–Computer Interface (BCI) system
for controlling social networking features of a smartphone. There are very few BCI studies …

How Visual Stimuli Evoked P300 is Transforming the Brain–Computer Interface Landscape: A PRISMA Compliant Systematic Review

J Kalra, P Mittal, N Mittal, A Arora… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Non-invasive Visual Stimuli evoked-EEG-based P300 BCIs have gained immense attention
in recent years due to their ability to help patients with disability using BCI-controlled …

10 years of EPOC: A scoping review of Emotiv's portable EEG device

NS Williams, GM McArthur, NA Badcock - BioRxiv, 2020 - biorxiv.org
BACKGROUND Commercially-made low-cost electroencephalography (EEG) devices have
become increasingly available over the last decade. One of these devices, Emotiv EPOC, is …

Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review

P Samal, MF Hashmi - Artificial Intelligence Review, 2024 - Springer
Emotion is a subjective psychophysiological reaction coming from external stimuli which
impacts every aspect of our daily lives. Due to the continuing development of non-invasive …

On the role of generative artificial intelligence in the development of brain-computer interfaces

S Eldawlatly - BMC Biomedical Engineering, 2024 - Springer
Since their inception more than 50 years ago, Brain-Computer Interfaces (BCIs) have held
promise to compensate for functions lost by people with disabilities through allowing direct …

An integrated piezoelectric inertial actuator controlled by cam mechanisms

Q Lu, J Wen, Y Hu, J Li, J Ma - IEEE Access, 2021 - ieeexplore.ieee.org
This paper presents a battery-supplied piezoelectric actuator controlled by cam
mechanisms. The actuator moves by matching the phase difference between the clamp and …

EEG based directional signal classification using RNN variants

B Adhikari, A Shrestha, S Mishra… - 2018 IEEE 3rd …, 2018 - ieeexplore.ieee.org
EEG (Electroencephalogram) signals generated within the brain can be extracted using
sensors. Thus generated signals can be classified based on the feature that are embedded …