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Developing and evaluating a BCI video game for neurofeedback training: the case of autism
(2018-11-29)
BCI video games are making brain training increasingly popular and available; yet scientific
evidence to support its efficacy is lacking. Real-life descriptions of BCI video games deploy-
ments in concrete scenarios are ...
Attention-level transitory response: a novel hybrid BCI approach
(IOP Publishing, 2015-08)
Objective. People with disabilities may control devices such as a computer or a wheelchair by means of a brain–computer interface (BCI). BCI based on steady-state visual evoked potentials (SSVEP) requires visual stimulation ...
Implementation of a brain-machine interface for controlling a wheelchair
(Institute of Electrical and Electronics Engineers Inc., 2017-10)
In the present project it is focused on patients Amotrophy Lateral Sclerosis (ALS), so these patients do not have control of their motor functions therefore are unable to move on their own, requiring third party assistance ...
A BCI video game using neurofeedback improves the attention of children with autism
(2020-07)
Major usability and technical challenges have created mistrust of the potential of brain computer interfaces used to control video games in challenging environments like healthcare. Despite several studies showing low cost ...
Interfaz Cerebro-Computadora para control de un teclado virtual
(Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Argentina, 2015)
Interfaz Cerebro-Computadora para control de un teclado virtual
(Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Argentina, 2015)
EEG signal processing in brain–computer interface
(Elsevier, 2018)
A brain–computer interface (BCI) system employs the electrical signals of the brain of the user to control a device according to the user’s intentions. Thus, the brain activity patterns should be identified by the system ...
Brain Computer Interface for Micro-controller Driven Robot Based on Emotiv Sensors
A Brain Computer Interface (BCI) is developed to navigate a micro-controller based robot using Emotiv sensors. The BCI system has a pipeline of 5 stages- signal acquisition, pre-processing, feature extraction, classification ...