Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.12872/336
Título : Brain computer interface to answer yes-no questions
Autor : Roman Gonzalez, Avid
Vargas Cuentas, Natalia
Hoyos, Miguel
Diaz, Joel
Zimic, Mirko
Palabras clave : Brain
Communication systems
Data acquisition
Electroencephalography
Interfaces (computer)
Signal processing
Computer analysis
Data acquisition system
Electrical signal
Healthy volunteers
Pattern analysis
Process information
Signal processing technique
Brain computer interface
Fecha de publicación : ago-2017
Editorial : Institute of Electrical and Electronics Engineers Inc.
Citación : Roman Gonzalez, A., Vargas Cuentas, N., Hoyos, M., Diaz, J., & Zimic, M. (Agosto, 2017). Brain computer interface to answer yes-no questions. En 2nd International Conference on Bio-engineering for Smart Technologies (BioSMART), Francia.
Resumen : 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 communication, however, they receive and process information from different sources. This system would allow basic communication-allowing the user to answer closed questions-through thought. The system was implemented by analyzing and interpreting electrical signals from brain activity, collected through electrodes attached to the scalp. The analog electrical signals were received by a data acquisition system and digitized for computer analysis. We implemented different signal processing techniques, pattern analysis, and classification and discrimination methods. By analyzing these signals and interpreting the electrical patterns, was achieved understand answers to simple questions. The system has been validated testing with healthy volunteers in the laboratory, obtaining good results.
URI : http://repositorio.uch.edu.pe/handle/uch/336
https://ieeexplore.ieee.org/document/8095323
http://dx.doi.org/10.1109/BIOSMART.2017.8095323
Aparece en las colecciones: Conference Paper

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