Journal of Fashion Business (패션비즈니스)

The Korean Society of Fashion Business (한국패션비즈니스학회)
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Development of Smart Gloves for Measuring Wrist Movements of Lure Fishing Participants

루어낚시 참여자용 손목 움직임 측정을 위한 스마트 장갑 개발

  • Yoonseung Choi (Dept. of Smart Wearable Engineering, Soongsil University) ;
  • Jinhee Park (Dept. of Materials Science and Engineering, Soongsil University) ;
  • Jooyong Kim (Dept. of Materials Science and Engineering, Soongsil University)
  • 최윤성 (숭실대학교 스마트웨어러블공학과) ;
  • 박진희 (숭실대학교 신소재공학과) ;
  • 김주용 (숭실대학교 신소재공학과)
  • Received : 2024.10.21
  • Accepted : 2024.11.21
  • Published : 2024.11.30
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Abstract

Abstract This study developed smart gloves that measure the wrist movements of lure fishing participants in real time and record occurrences of pain. These gloves enable users to monitor movement patterns and pain levels, and to take appropriate breaks through alarms. Key achievements include the measurement of grip strength, range of motion (ROM), and visual analog scale (VAS) tests. The stretch sensor is highly durable, recovers quickly even after repeated use, and can precisely measure various fishing movements. When the predetermined number of repetitions, set through motion recognition and notification functions (e.g., 30 or 60), is reached, a buzzer sounds to encourage rest. In the analysis of wrist function, it was confirmed that grip strength decreased after 100 casts but recovered following electrical muscle stimulation (EMS) training. The VAS results indicated that EMS training was effective in relieving pain and improving wrist function. Smart gloves and EMS training are valuable for preventing wrist pain and restoring function associated with fishing, and they suggest potential applications for various body parts and exercises. In future research, we plan to enhance the gloves' performance and strengthen data storage and analysis functions based on clinical trials in actual sea environments and user feedback.

Keywords

Acknowledgement

이 연구는 2023년도 산업통상자원부 및 산업기술평가관리원(KEIT)의 연구비 지원과('20016038') 2023년도 정부(산업통상자원부)의 재원으로 한국산업기술진흥원의 지원을 받아 수행된 연구임 (P0012770, 2023년 산업혁신인재성장지원사업)

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