An application of wireless brain–computer interface for drowsiness detection

• Autorzy: Tripathy A. K. , Chinara S. , Sarkar M.

Identyfikatory

DOI

10.1016/j.bbe.2015.08.001

• Języki publikacji: EN

Abstrakty

EN

Wirelessly networked systems of sensors could enable revolutionary applications at the intersection of biomedical science, networking and control systems. It has a strong potential to take ahead the applications of wireless sensor networks. In this paper, a wireless brain computer interface (BCI) framework for drowsiness detection is proposed, which uses electroencephalogram (EEG) signals produced from the brain wave sensors. The proposed BCI framework comprises of a braincap containing EEG sensors, wireless signal acquisition unit and a signal processing unit. The signal processing unit continuously monitor the preprocessed EEG signals and to trigger a warning tone if a drowsy state happens. This experimental setup provides longer time EEG monitoring and drowsiness detection by incorporating the clustering mechanism into the wireless networks.

Słowa kluczowe

EN

wireless network; clustering; drowsiness detection; brain computer interface

PL

sieć bezprzewodowa; grupowanie; wykrywanie senności; interfejs mózg-komputer

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2016
• Tom: Vol. 36, no. 1
• Strony: 276--284
• Opis fizyczny: Bibliogr. 16 poz., rys., tab., wykr.

Twórcy

autor

Tripathy A. K.

• Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India

autor

Chinara S.

• Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India

autor

Sarkar M.

• Department of Electrical and Computer Engineering, San Diego State University, CA, USA

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.