Number of the records: 1

Control of word processing environment using myoelectric signals

SYSNO ASEP	0454130
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Control of word processing environment using myoelectric signals
Author(s)	Pošusta, Antonín (FGU-C)_RID Sporka, A. J. (CZ) Poláček, O. (CZ) Rudolf, Š. (CZ) Otáhal, Jakub (FGU-C)_{RID, ORCID, SAI}
Source Title	Journal on Multimodal User Interfaces - ISSN 1783-7677 Roč. 9, č. 4 (2015), s. 299-311
Number of pages	13 s.
Language	eng - English
Country	DE - Germany
Keywords	assistive technology ; text input ; myoelectric signals ; user study
Subject RIV	FH - Neurology
R&D Projects	GBP304/12/G069 GA ČR - Czech Science Foundation (CSF)
Institutional support	FGU-C - RVO:67985823
UT WOS	000365441700005
EID SCOPUS	84947869231
DOI	10.1007/s12193-015-0200-9
Annotation	This paper shows how myoelectric signals (EMG) can be used to generate control signals for further use in human–machine interfaces. Our custom-built portable USB device is able to capture multi-channel highspeed surface EMG signals from muscles and its software counterpart is capable to control common PC interface including ordinary text editors such as MS Word. At the time of the study the system utilized three parallel EMG channels to control user interfaces. The interaction was based on series of 1-of-N selections which specify rows and columns in on-screen keyboards. The selection was performed by quantification of selected muscle activity of the user. The system was further tested by a disabled person who provided input during a participatory design session. Our study has demonstrated that the system and the user interface can be used for effective text input and editing also in disabled people
Workplace	Institute of Physiology
Contact	Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400
Year of Publishing	2016

Number of the records: 1