Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Paula Gonzalez-Navarro"'
Autor:
Paula Gonzalez-Navarro, Basak Celik, Mohammad Moghadamfalahi, Murat Akcakaya, Melanie Fried-Oken, Deniz Erdoğmuş
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2022)
Error related potentials (ErrP), which are elicited in the EEG in response to a perceived error, have been used for error correction and adaption in the event related potential (ERP)-based brain computer interfaces designed for typing. In these typin
Externí odkaz:
https://doaj.org/article/e60d7ca54e1444f3bacfdd696b1a5d33
Autor:
Paula Gonzalez-Navarro, Basak Celik, Mohammad Moghadamfalahi, Murat Akcakaya, Melanie Fried-Oken, Deniz Erdoğmuş
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2022)
Error related potentials (ErrP), which are elicited in the EEG in response to a perceived error, have been used for error correction and adaption in the event related potential (ERP)-based brain computer interfaces designed for typing. In these typin
Publikováno v:
Signal Processing. 131:333-343
Multichannel electroencephalography (EEG) is widely used in non-invasive brain computer interfaces (BCIs) for user intent inference. EEG can be assumed to be a Gaussian process with unknown mean and autocovariance, and the estimation of parameters is
Publikováno v:
IEEE Trans Neural Syst Rehabil Eng
Electroencephalography (EEG) is an effective non-invasive measurement method to infer user intent in brain-computer interface (BCI) systems for control and communication, however, these systems often lack sufficient accuracy and speed due to low sepa
Autor:
Yeganeh M. Marghi, Murat Akcakaya, Paula Gonzalez-Navarro, Bruna Girvent, Deniz Erdogmus, Mohammad Moghadamfalahi, James P. McLean, Fernando Quivira
Publikováno v:
Signal Processing and Machine Learning for Brain-Machine Interfaces ISBN: 9781785613982
Electroencephalography (EEG)-based brain-computer interfaces (BCIs) are developed to provide access channels for alternative communication and control systems to people with severe speech and physical impairments. Designs that exploit evoked response
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7617f88e44bf3f92c8cf5a5193c017cd
https://doi.org/10.1049/pbce114e_ch10
https://doi.org/10.1049/pbce114e_ch10
Publikováno v:
EMBC
Electroencephalogram (EEG) signals have been shown very effective for inferring user intents in brain-computer interface (BCI) applications. However, existing EEG-based BCIs, in many cases, lack sufficient performance due to utilizing classifiers tha
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319399546
HCI (13)
HCI (13)
Electroencephalography EEG recorded from multiple channels is typically used in many non-invasive brain computer interfaces BCIs for inference. Usually, EEG is assumed to be a Gaussian process with unknown mean and covariance, and the estimation of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a42e9242c30f6c289d6a885109edbfaa
https://doi.org/10.1007/978-3-319-39955-3_4
https://doi.org/10.1007/978-3-319-39955-3_4
Publikováno v:
Foundations of Augmented Cognition ISBN: 9783319208152
HCI (15)
HCI (15)
Deflections in recorded electroencephalography (EEG) in response to visual, auditory or tactile stimuli have been popularly employed in non-invasive EEG based brain computer intefaces (BCIs) for intent detection. For example, in an externally stimula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1db5ebe209edd627b6ed689b9ca750b8
https://doi.org/10.1007/978-3-319-20816-9_27
https://doi.org/10.1007/978-3-319-20816-9_27