2020 International Conference on E-Health and Bioengineering (EHB) 2020
DOI: 10.1109/ehb50910.2020.9280193
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LabVIEW and Android BCI Chat App Controlled By Voluntary Eye-Blinks Using NeuroSky Mindwave Mobile EEG Headset

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Cited by 5 publications
(3 citation statements)
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“…The only EEG recording electrode of the MindWave Mobile is located on the forehead above the eye (FP1 position according to the 10-20 International System) with a reference electrode and grounding electrode inside the ear clip. Therefore, the MindWave Mobile EEG headset is commonly used for eye blink detection [ 72 – 75 ]. The device outputs 12-bit 3- to 100-Hz original brainwaves with a sampling rate of 512 Hz and can achieve an 8-h battery run time.…”
Section: Forehead-eeg-based Bcimentioning
confidence: 99%
“…The only EEG recording electrode of the MindWave Mobile is located on the forehead above the eye (FP1 position according to the 10-20 International System) with a reference electrode and grounding electrode inside the ear clip. Therefore, the MindWave Mobile EEG headset is commonly used for eye blink detection [ 72 – 75 ]. The device outputs 12-bit 3- to 100-Hz original brainwaves with a sampling rate of 512 Hz and can achieve an 8-h battery run time.…”
Section: Forehead-eeg-based Bcimentioning
confidence: 99%
“…O. A. Rușanu et al [6] proposed a simple chat application based on the counting of the voluntary eye-blinks acquired by a NeuroSky headset. One eye-blink determines the transition across emoticons/buttons, while two eye-blinks enable the selection of the emoticon corresponding to the desired information.…”
Section: Related Workmentioning
confidence: 99%
“…The user experience was enhanced by dividing the selected block into sub-blocks for further selection; however, the average processing time of more than one minute to print a single alphabet was time-consuming for communicating with a user. Similarly, Rusanu et al proposed a communication scheme using EEG [8]. It was designed to speed up communication with users by having them blink to select one of 32 predetermined emoticons rather than alphabet letters, and it also showed limitations in expressing something other than the predetermined emoticons.…”
Section: Introductionmentioning
confidence: 99%