Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
Background Hand rehabilitation is core to helping stroke survivors regain activities of daily
living. Recent studies have suggested that the use of electroencephalography-based brain …
living. Recent studies have suggested that the use of electroencephalography-based brain …
EEG-based BCIs on motor imagery paradigm using wearable technologies: a systematic review
In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …
A survey of brain computer interfaces and their applications
This paper concerns the theory behind developing a brain computer interface (BCI) and the
applications of such a system. Signal acquisition methods such as Functional Magnetic …
applications of such a system. Signal acquisition methods such as Functional Magnetic …
Statistical evaluation of factors influencing inter-session and inter-subject variability in eeg-based brain computer interface
A cognitive alteration in the form of diverse mental states has a significant impact on the
performance of electroencephalography (EEG) based brain computer interface (BCI). Such …
performance of electroencephalography (EEG) based brain computer interface (BCI). Such …
Mutual information-based feature selection for low-cost BCIs based on motor imagery
In the present study a feature selection algorithm based on mutual information (MI) was
applied to electro-encephalographic (EEG) data acquired during three different motor …
applied to electro-encephalographic (EEG) data acquired during three different motor …
[PDF][PDF] Factors influencing low intension detection rate in a non-invasive EEG-based brain computer interface system
C Maswanganyi, C Tu… - Indones. J. Electr. Eng …, 2020 - pdfs.semanticscholar.org
Motor imagery (MI) responses extracted from the brain in the form of EEG signals have been
widely utilized for intention detection in brain computer interface (BCI) systems. However …
widely utilized for intention detection in brain computer interface (BCI) systems. However …
Mind-controlled augmentative and alternative communication for people with severe motor disabilities
A Al-Abdullatif, H Al-Negheimish… - … on Innovations in …, 2013 - ieeexplore.ieee.org
This paper describes the research conducted to design the Arabic Brain Communicator
(ABC), which is a brain-controlled typing system designed to facilitate communication for …
(ABC), which is a brain-controlled typing system designed to facilitate communication for …
Platforms for human-human interaction in large social events
D Pirrone, S Andolina, A Santangelo… - 2012 Seventh …, 2012 - ieeexplore.ieee.org
In this paper we present the evolution of QRouteMe, an information system built to provide
people with rich user experiences when attending museums or exhibits. QRouteMe is a …
people with rich user experiences when attending museums or exhibits. QRouteMe is a …
EEG Based intelligent robot chair with communication aid using statistical cross correlation based features
SK Nataraj, SB Yaacob, MP Paulraj… - … on Bioinformatics and …, 2014 - ieeexplore.ieee.org
In this research work, a Thought Controlled Intelligent robot chair with communication aid
has been developed. A simple brain wave data acquisition protocol has been developed …
has been developed. A simple brain wave data acquisition protocol has been developed …
Classification of thought evoked potentials for navigation and communication using multilayer neural network
SK Nataraj, P MP, SB Yaacob… - Journal of the Chinese …, 2021 - Taylor & Francis
In this paper, an intelligent classification system has been developed to command a robot
chair by means of direct brain activity, aided by amplification. The intelligent system …
chair by means of direct brain activity, aided by amplification. The intelligent system …