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Development and Evaluation of Wearable Smart Clothing for Combined EMG Devices

웨어러블 근전도 디바이스 결합형 스마트의류 개발 및 성능평가

  • Sojung Lee (Material and Component Convergence R&D Department, Korea Institute of Industrial Technology) ;
  • Hyelim Kim (Material and Component Convergence R&D Department, Korea Institute of Industrial Technology) ;
  • Wonyoung Jeong (Material and Component Convergence R&D Department, Korea Institute of Industrial Technology)
  • 이소정 (한국생산기술연구원 소재부품융합연구부문) ;
  • 김혜림 (한국생산기술연구원 소재부품융합연구부문) ;
  • 정원영 (한국생산기술연구원 소재부품융합연구부문)
  • Received : 2023.03.16
  • Accepted : 2023.04.27
  • Published : 2023.04.28

Abstract

Recently, smart wearable products, including electromyography (EMG) measurement devices and clothing, have been developed to monitor users' exercise levels, muscle activation, and muscle balance more effectively during fitness activities. However, technical and socioeconomic barriers, such as flexibility and durability, still pose challenges in terms of comfort, ease of wear, and wearability of smart clothing, which includes devices and circuits. To address these issues, this study developed a wearable EMG device integrated with clothing to collect valid EMG signals from desired muscles while maintaining comfort, functionality, and ease of wear. After deriving a combined structure that could stably position the wearable device within the clothing, a prototype was manufactured and evaluated for fit, compression, comfort, and exercise comfort test by ten participants (height = 176.2 cm, weight = 76.4 kg, chest circumference = 101.2 cm). The study found that the prototype had smaller circumferences around the chest, waist, and abdomen compared to commercial products, resulting in lower ratings for wearing comfort and ease of wear. However, the prototype received high ratings for fitting, pressure, and the exercise comfort test. Valid signals were obtained when the EMG device was combined to the prototype for the rectus femoris muscle, indicating stable positioning of the device during exercise.

Keywords

Acknowledgement

본 연구는 중소벤처기업부 선도연구기관협력기술개발사업(RS-2022-00143378)의 지원으로 수행되었습니다.

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