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 ...

The aim of this work is to design, implement and validate a primary communication system based on a brain-computer interface. There are people who-for various reasons-are affected in their ability to externalize their ...

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 ...

Considering that single locations of structural and functional abnormalities are insufficient to explain the diverse psychopathology of schizophrenia, new models have postulated that the impairments associated with the ...

Neurofeedback (NF), a cutting-edge technique in the realm of brain-computer interfaces (BCI), has proven to be a powerful tool for both scientific exploration and clinical rehabilitation. NF provides individuals with ...

The present work proposes an algorithm to detect and identify the artifact signals produced by the concrete gestural actions of jaw clench and eyebrows raising in the electroencephalography (EEG) signal. Artifacts are ...

Technologies such as Augmented Reality (AR) can generate an impact within the educational process of students, which can be measured from the perspective of users. Generally, this perspective is evaluated from questionnaires ...

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 ...