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        검색결과 11

        9.
        2017.08 KCI 등재 구독 인증기관 무료, 개인회원 유료
        The purpose of this study is to utilize technology as basic data for smart clothing product research and development. This technology can recognize user's motion according to characteristics types and functions of wearable smart clothing products. In order to analyze the case of motion recognition products, we searched for previous research data and cases referred to as major keywords in leading search engines, Google and Naver. Among the searched cases, information on the characteristics and major functions of the 42 final products selected on the market are examined in detail. Motion recognition for smart clothing products is classified into four body types: head & face, body, arms & hands, and legs & feet. Smart clothing products was developed with various items, such as hats, glasses, bras, shirts, pants, bracelets, rings, socks, shoes, etc., It was divided into four functions health care type for prevention of injuries, health monitor, posture correction, sports type for heartbeat and exercise monitor, exercise coaching, posture correction, convenience for smart controller and security and entertainment type for pleasure. The function of the motion recognition smart clothing product discussed in this study will be a useful reference when designing a motion recognition smart clothing product that is blended with IT technology.
        4,600원
        10.
        2017.08 KCI 등재 구독 인증기관 무료, 개인회원 유료
        The purpose of this study is to utilize technology as basic data for smart clothing product research and development. This technology can recognize user's motion according to characteristics types and functions of wearable smart clothing products. In order to analyze the case of motion recognition products, we searched for previous research data and cases referred to as major keywords in leading search engines, Google and Naver. Among the searched cases, information on the characteristics and major functions of the 42 final products selected on the market are examined in detail. Motion recognition for smart clothing products is classified into four body types: head & face, body, arms & hands, and legs & feet. Smart clothing products was developed with various items, such as hats, glasses, bras, shirts, pants, bracelets, rings, socks, shoes, etc., It was divided into four functions health care type for prevention of injuries, health monitor, posture correction, sports type for heartbeat and exercise monitor, exercise coaching, posture correction, convenience for smart controller and security and entertainment type for pleasure. The function of the motion recognition smart clothing product discussed in this study will be a useful reference when designing a motion recognition smart clothing product that is blended with IT technology.
        4,600원
        11.
        2015.06 구독 인증기관·개인회원 무료
        This study presents a flexible and highly stretchable textile circuit line for the signal and power transmission of smart clothing systems that provide wearing comfort and high mobility to where’s. A textile based circuit network on smart clothing requires 30% stretch ability so as not to constrain body movement. The advantages of a textile band type transmission line is the easy configuring of several separate transmission lines on a single band to construct a sensor module network. Conductive transmission line yarns have to be protected from deformation when textile transmission lines are stretched according to body movement. To ensure the elastic property of the smart clothing, textile transmission lines need to stretch more than 30% using the additional spandex yarns in warp. Four strands of conductive yarns were inserted in a single transmission line and each transmission line indicated 0.03Ω/cm in resistance. The resistance change rate of the textile transmission line during elongation was measured using a universal testing machine (Instron 5543) and Milliohmeter (Agilent 4338). The resistance of the transmission lines unchanged until breakage occurred at the 140% strain level. Resistance started to change at the 180% strain level where conductive yarns start to deform and break. In conclusion, the proposed textile transmission provides a comfortable wearing sensation that maintains a stable electrical performance during any type of body movement and is suitable for the wearable circuit of a highly stretchable smart wear system.