Feasibility analysis and adaptive thresholding for mobile applications controlled by EEG signals

Given the availability of EEG technology and existing studies, this paper discusses the feasibility of development of mobile applications controlled by brainwaves using a low-cost, non-invasive, headband type of device that collects two-channel EEG signals at frontal lobe. We have performed temporal...

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Bibliographic Details
Published in2015 23rd European Signal Processing Conference (EUSIPCO) pp. 2416 - 2420
Main Authors Chonho Lee, Jinyao Chin, Liu Yi, Bu-Sung Lee, McKeown, Martin J.
Format Conference Proceeding
LanguageEnglish
Published EURASIP 01.08.2015
Subjects
Brainwaves
Classification
Electrodes
Electroencephalography
Games
Lead
Mobile application
Mobile applications
Training data
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ISSN2076-1465
DOI10.1109/EUSIPCO.2015.7362818

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Summary:Given the availability of EEG technology and existing studies, this paper discusses the feasibility of development of mobile applications controlled by brainwaves using a low-cost, non-invasive, headband type of device that collects two-channel EEG signals at frontal lobe. We have performed temporal, spectral and spatial analysis on EEG signals collected during game-playing and found particular trends of EEG signals at certain brain (mental) states for all subjects, and some variations of the trends among different subjects. The analysis results motivate us to design an adaptive thresholding mechanism to find user-specific thresholds for a classifier that controls mobile applications.
ISSN:2076-1465
DOI:10.1109/EUSIPCO.2015.7362818