Implementation of Fuzzy Decision to Control Patient Room Facilities using Eye Blink

This study proposed the implementation of Fuzzy decision to control patient's room facilities. In this study, four icons were sequentially displayed on the computer screen. The icons representing four option that can be selected by the patient is including switch the light on/off, switch the fa...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2018-04, Vol.336 (1), p.12006
Main Authors: Zaeni, Ilham A.E., Wibawa, Aji P., Aripriharta, Sendari, Siti
Format: Article
Language:English
Subjects:
Electroencephalography
Fuzzy control
Icons
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Summary:This study proposed the implementation of Fuzzy decision to control patient's room facilities. In this study, four icons were sequentially displayed on the computer screen. The icons representing four option that can be selected by the patient is including switch the light on/off, switch the fan on/off, moving the bed's backrest downward, and moving the bed's backrest upward. The eye blink was extracted from subject's electroencephalograph (EEG) signals which acquired from the FP1 region. The attention was also extracted from subject's EEG signals to ensure that subject concentrate to the task. The eye blink and attention level were used for Fuzzy decision inputs, while the output is a decision that states the selection is valid or not. The selected option is the command that appears on the screen when the selection is valid. In this study, subjects were asked to choose each command several times and the accuracy was computed based on the number of correct selection.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/336/1/012006