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Morse Code Representation using EMG Signals
- Authors
- Gu J.; Park M.; Kang K.; Shin H.-C.
- Issue Date
- Oct-2019
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future, pp.1059 - 1061
- Journal Title
- ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future
- Start Page
- 1059
- End Page
- 1061
- ISSN
- 0000-0000
- Abstract
- Morse code is the most basic emergency communication method. It expresses alphabet and numbers by using the combinations of dots and dashes. Because of its simple structure which only contains dots and dashes, Morse code is expressed in a variety of ways. Among the methods of expressing Morse code, methods that use human body movements such as finger gesture, tongue movements and eye blinking have been studied. Our research uses surface electromyography (EMG) signals generated by hand motion. We expressed Morse code according to the duration between folding and stretching the fist. Experimentally, we have shown that the performance is 100% accuracy in recognizing 26 alphabets. © 2019 IEEE.
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Related Researcher
- Shin, Hyun Chool
- College of Information Technology (Department of Electronic Engineering)