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Article

Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces

CITIC Research Center, University of A Coruña, Campus de Elviña, 15071 A Coruña, Spain
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Author to whom correspondence should be addressed.
Academic Editor: Eladio Durán Aranda
Sensors 2021, 21(6), 2220; https://doi.org/10.3390/s21062220
Received: 18 February 2021 / Revised: 15 March 2021 / Accepted: 17 March 2021 / Published: 22 March 2021
Human-Machine Interfaces (HMI) allow users to interact with different devices such as computers or home elements. A key part in HMI is the design of simple non-invasive interfaces to capture the signals associated with the user’s intentions. In this work, we have designed two different approaches based on Electroencephalography (EEG) and Electrooculography (EOG). For both cases, signal acquisition is performed using only one electrode, which makes placement more comfortable compared to multi-channel systems. We have also developed a Graphical User Interface (GUI) that presents objects to the user using two paradigms—one-by-one objects or rows-columns of objects. Both interfaces and paradigms have been compared for several users considering interactions with home elements. View Full-Text
Keywords: human-machine interfaces; electroencephalography; electrooculography; P300; graphical user interface human-machine interfaces; electroencephalography; electrooculography; P300; graphical user interface
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MDPI and ACS Style

Laport, F.; Iglesia, D.; Dapena, A.; Castro, P.M.; Vazquez-Araujo, F.J. Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces. Sensors 2021, 21, 2220. https://doi.org/10.3390/s21062220

AMA Style

Laport F, Iglesia D, Dapena A, Castro PM, Vazquez-Araujo FJ. Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces. Sensors. 2021; 21(6):2220. https://doi.org/10.3390/s21062220

Chicago/Turabian Style

Laport, Francisco, Daniel Iglesia, Adriana Dapena, Paula M. Castro, and Francisco J. Vazquez-Araujo 2021. "Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces" Sensors 21, no. 6: 2220. https://doi.org/10.3390/s21062220

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