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근전도 신호를 이용한 방향키 입력 기반 천지인 스펠러 시스템 개발

Development of an EMG-Based Chunjiin Speller System Using Directional Input

  • 유기연 (연세대학교 미래캠퍼스 의공학부) ;
  • 안지원 (연세대학교 미래캠퍼스 의공학부) ;
  • 유도현 (연세대학교 미래캠퍼스 의공학부) ;
  • 최승호 (연세대학교 미래캠퍼스 의공학부)
  • Gi Yeon Yu (Department of Biomedical Engineering, Yonsei University) ;
  • Ji Won Ahn (Department of Biomedical Engineering, Yonsei University) ;
  • Do Hyun Yoo (Department of Biomedical Engineering, Yonsei University) ;
  • Seung Ho Choi (Department of Biomedical Engineering, Yonsei University)
  • 투고 : 2025.05.23
  • 심사 : 2025.06.30
  • 발행 : 2025.08.31

초록

Traditional Human-Machine Interfaces (HMIs), such as keyboards and mice, have long facilitated efficient digital communication through hand movements. To address this limitation, electromyography (EMG)-based interfaces offer intuitive control through muscle activity with high signal amplitude and ease of acquisition. This study proposes an EMG-based Chunjiin speller system designed for users with limited hand mobility. The system incorporates a directional input method (up, down, left, right, and select) and a Korean keyboard layout to support accessible and efficient character input. EMG signals were collected using four surface electrodes attached to the extensor digitorum and flexor carpi radialis muscles on both forearms. After real-time preprocessing, three time-domain features-root mean square, slope sign change, and peak amplitude-were extracted to determine user intent. In Experiment 1, five discrete input commands were classified with an average accuracy of 94.67%. In Experiment 2, which involved continuous input for actual word construction, the system maintained an average accuracy of 93.87%. Notably, these performances were achieved without the use of deep learning models, relying solely on simple time-domain features, making it viable for real-time use in low-resource environments. The proposed system demonstrates practical usability and real-time performance, highlighting its potential for augmentative and alternative communication (AAC) applications. Its lightweight architecture and direction-based design further support flexible deployment for users with motor impairments across diverse contexts.

키워드

과제정보

This work was carried out with the support of "Research Program for Agriculture Science & Technology Development (Project No. RS-2024-00399478)" Rural Development Administration, Republic of Korea. This work was supported by the National Research Foundation of Korea (NRF), grant funded by the Korean government (MSIT) (No. 2022R1C1C1011328). The authors would like to thank Kyeong-tae Seo for his participation as a subject in the experiment.

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