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Recognising Irish sign language using electromyography

Galea, Laura Christina and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2019) Recognising Irish sign language using electromyography. In: 17th IEEE Content Based Multimedia Indexing (CBMI) Conference, 4-6 Sept 2019, Dublin, Ireland. ISBN 978-1-7281-4673-7

Sign language is the non-verbal communication used by people with hearing and speaking impairments. The automatic recognition of sign languages is usually based on video analysis of the signer though this is difficult when considering different light levels or the surrounding environment. The work in this paper uses electromyography (EMG) and focuses on letters of the Irish Sign Language (ISL) alphabet. EMG is the recording of the electrical activity produced to stimulate movement in the skeletal muscles. We capture muscle signals and inertial movement data using the Thalmic MYO armband and, in real time, recognise the ISL alphabet. Our implementation is based on signal processing, feature extraction and machine learning. The only input required to translate the ISL gestures are EMG and movement data, thus our approach is usable in scenarios where using video for automatic recognition video is not possible.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:EMG; sign language
Subjects:Computer Science > Machine learning
Computer Science > Multimedia systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: Gurrin, Cathal, Jónsson, Björn Þór, Péteri, Renaud and Rudinac, Stevan, (eds.) 2019 International Conference on Content-Based Multimedia Indexing (CBMI). . IEEE. ISBN 978-1-7281-4673-7
Official URL:http://dx.doi.org/10.1109/CBMI.2019.8877421
Copyright Information:© 2019 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland under grant number SFI/12/RC/2289
ID Code:23553
Deposited On:15 Jul 2019 09:11 by Alan Smeaton . Last Modified 15 Dec 2021 15:46

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