Journal of Fashion Business (패션비즈니스)

The Korean Society of Fashion Business (한국패션비즈니스학회)
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Development of Textile Sensors for Prevention of Forward Head Posture

거북목 예방을 위한 텍스타일 센서 개발

  • Minsuk kim (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)
  • 김민석 (숭실대학교, 스마트웨어러블공학과) ;
  • 박진희 (숭실대학교, 신소재공학과) ;
  • 김주용 (숭실대학교, 신소재공학과)
  • Received : 2023.08.29
  • Accepted : 2023.09.18
  • Published : 2023.09.30
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Abstract

This study aimed to develop a smart wearable device for assessing the risk angle associated with turtle neck syndrome in patients with Video Display Terminal (VDT) syndrome. Turtle neck syndrome, characterized by forward head posture resulting from upper cross syndrome, leads to thoracic kyphosis. In this research, a stretch sensor was used to monitor the progression of turtle neck syndrome, and the sensor data was analyzed using a Universal Testing Machine (UTM) and the Gauge Factor (GF) calculation method. The scapula and cervical spine angles were measured at five stages, with 15-degree increments from 0° to 60°. During the experimental process, the stretch sensor was attached to the thoracic spine in three different lengths: 30mm, 50mm, and 100mm. Among these, the attachment method yielding the most reliable data was determined by measuring with three techniques (General Trim Adhesive, PU film, and Heat Transfer Machine), and clothing using the heat transfer machine was selected. The experimental results confirmed that the most significant change in thoracic kyphosis occurred at approximately 30° of forward head posture. Prolonged deformity can lead to various issues, highlighting the need for textile sensor solutions. The developed wearable device aims to provide users with real-time feedback on their turtle neck posture and incorporate features that can help prevent or improve the condition.

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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