@inproceedings{61a87c6ce18946cfb002c657bc4d062e,
title = "Touchless virtual keyboard controlled by eye blinking and EEG signals",
abstract = "The paper describes the idea of touchless virtual keyboard designed for disabled people with tetraparesis. Each key can be selected by three double eye blinks registered by EMG sensor. EEG signals are used as a support that allows the user to change the input mode of single characters to the mode of predicted words selection. The keyboard was implemented and evaluated during provided experiments. Obtained result (WPM=1.11) partially confirms the calculated typing speed (WPM=1.23). It is also found that the keyboard efficiency can be improved by using a list of predicted words, even the number of those words is low and they are short (WPM=1.27). Provided discuss presents that improved keyboard used by experienced users could achieve the typing efficiency even up to WPM=3.15.",
keywords = "BCI, Brain-computer interface, Eye blinking, Text entry, Virtual keyboard",
author = "Krzysztof Dobosz and Klaudiusz Stawski",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; 5th International Conference on Man-Machine Interactions, ICMMI 2017 ; Conference date: 03-10-2017 Through 06-10-2017",
year = "2018",
doi = "10.1007/978-3-319-67792-7\_6",
language = "English",
isbn = "9783319677910",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "52--61",
editor = "Aleksandra Gruca and Tadeusz Czachorski and Katarzyna Harezlak and Stanislaw Kozielski and Agnieszka Piotrowska and Tadeusz Czachorski",
booktitle = "Man-Machine Interactions 5 - 5th International Conference on Man-Machine Interactions, ICMMI 2017",
address = "Germany",
}