@inproceedings{921ca662bb53418ba81dd5c91760328b,
title = "Text input with foot gestures using the myo armband",
abstract = "This article describes the study in the area of alternative text entry. The aim of the project was to use the Myo band to detect foot gestures using EMG or acceleration signals for the special needs of people with physical disabilities. The Myo controller in the form of a band attached to the leg below the calf is responsible for detecting signals of a change in muscle tension. It can also be applied directly to the foot and measure the change in acceleration caused by the movement of the foot. Myo sends data to the application that uses it to control the virtual keyboard. The research confirmed that foot gestures allowed the user to enter text. The results obtained are comparable to other methods of linear alphabet scanning.",
keywords = "Foot gestures, Gesture controller, Motor disability, Myo armband, Text entry, Text input, Virtual keyboard",
author = "Krzysztof Dobosz and Miros{\l}aw Trzcionkowski",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 17th International Conference on Computers Helping People with Special Needs, ICCHP 2020 ; Conference date: 09-09-2020 Through 11-09-2020",
year = "2020",
doi = "10.1007/978-3-030-58805-2\_39",
language = "English",
isbn = "9783030588045",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "335--342",
editor = "Klaus Miesenberger and Roberto Manduchi and \{Covarrubias Rodriguez\}, Mario and Petr Pen{\'a}z",
booktitle = "Computers Helping People with Special Needs - 17th International Conference, ICCHP 2020, Proceedings",
address = "Germany",
}