نتایج جستجو برای: p300 speller

تعداد نتایج: 6077  

Journal: :Journal of neural engineering 2011
H Cecotti B Rivet M Congedo C Jutten O Bertrand E Maby J Mattout

A brain-computer interface (BCI) is a specific type of human-computer interface that enables direct communication between human and computer through decoding of brain activity. As such, event-related potentials like the P300 can be obtained with an oddball paradigm whose targets are selected by the user. This paper deals with methods to reduce the needed set of EEG sensors in the P300 speller a...

2012
Shiro Ikegami Kouji Takano Makoto Wada Naokatsu Saeki Kenji Kansaku

The visual P300-brain-computer interface, a popular system for EEG-based BCI, utilizes the P300 event-related potential to select an icon arranged in a flicker matrix. In the conventional P300-BCI speller paradigm, white/gray luminance intensification of each row/column in the matrix is used. In an earlier study, we applied green/blue luminance and chromatic change in the P300-BCI system and re...

Journal: :CoRR 2017
Nand Sharma

The P300 event-related potential (ERP), evoked in scalp-recorded electroencephalography (EEG) by external stimuli, has proven to be a reliable response for controlling a BCI. The P300 component of an event related potential is thus widely used in brain-computer interfaces to translate the subjects’ intent by mere thoughts into commands to control artificial devices. The main challenge in the cl...

Journal: :Journal of Artificial Intelligence and Soft Computing Research 2015

Journal: :Computational Intelligence and Neuroscience 2010

2013
Arnau Espinosa Guenter Edlinger Christoph Guger

Most brain-computer interfaces (BCI) are based on one of three types of electroencephalogram (EEG) signals: P300s, steady-state visually evoked potentials (SSVEP), and event-related desynchronization (ERD). EEG is typically recorded non-invasively using active or passive electrodes mounted on the human scalp. The common setup requires conductive electrode gel to get the best entrance impedance ...

2010
Ali Bülent Usakli Serkan Gurkan Fabio Aloise Giovanni Vecchiato Fabio Babiloni

The aim of this study is to present electrooculogram signals that can be used for human computer interface efficiently. Establishing an efficient alternative channel for communication without overt speech and hand movements is important to increase the quality of life for patients suffering from Amyotrophic Lateral Sclerosis or other illnesses that prevent correct limb and facial muscular respo...

2009
J. Elshout G. Garcia Molina

Brain-computer interfaces (BCIs) can be used as a communication and control systems. BCIs are in principle intended for people with motor disabilities, yet applications for healthy users have increasingly been proposed. A BCI is a communication system in which intentions can be sent to the external world without the use of normal peripheral nerves or muscles. Several electrophysiological charac...

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