동작인식 스마트 의류제품의 특징적 유형 분석
The analysis of the characteristic types of motion recognition smart clothing products
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초록
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.
Abstract
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.
참고문헌 (45)
- "Athos"[URL]
- "Joule back ring"[URL]
- "Magazine of the IEEK", 2015, 63~70
- 채영숙, "KINECT를 활용한 재활 치료용 기능성 게임 개발", 멀티미디어학회논문지, 17(2), pp.248~256 (2014), 한국멀티미디어학회[DOI]
- Chang, J. Y., "Technology trends of range image based gesture recognition", Electronics and Telecommunications Trends, 29(1), pp.11~20 (2014)
- "Enflux smart clothing is the full-body wearable for the fitness fanatic" (2016)[URL]
- (2015)[URL]
- 최한석, "3D 콘텐츠 제어를 위한 키넥트 기반의 동작 인식 모델", 한국콘텐츠학회 논문지, 14(1), pp.24~29 (2014), 한국콘텐츠학회[DOI]
- 허건, "동작인식을 이용한 탁구 스윙 분석", 제어.로봇.시스템학회 논문지, 21(1), pp.40~45 (2015), 제어·로봇·시스템학회[DOI]
- "Hexoskin shirt"[URL]
- "Hövding 2.0 Airbag Helmet" (2013)[URL]
- Industry Academic Cooperation Foundation Chosun University, "Korean Patent No. 10-1613431", Korean Intellectual Property Office, ~ (2016)
- 장창익, "어린이 교통안전교육 체감형 기능성 게임디자인 연구", 한국게임학회 논문지, 12(6), pp.5~13 (2012), 한국게임학회[DOI]
- (2015)[URL]
- (2015)[URL]
- "JINS MEME"[URL]
- (2014)[URL]
- 정경권, "RFID를 이용한 일상생활 모니터링 시스템 개발", 한국컴퓨터정보학회논문지, 14(7), pp.49~56 (2009), 한국컴퓨터정보학회
- (2013)[URL]
- (2013)[URL]
- 김상기, "3차원 가속도 데이타를 이용한 HMM 기반의 동작인식", 정보과학회 컴퓨팅의 실제 논문지, 15(3), pp.216~220 (2009), 한국정보과학회
- 김수균, "비접촉식 동작인식 기반 사용자 인터페이스 기술 전망", 한국항행학회논문지, 18(3), pp.242~247 (2014), 한국항행학회[DOI]
- 권승현, "스마트폰을 이용한 사용자 운동 모션 인식 시스템 구현", 한국산학기술학회논문지, 17(10), pp.396~402 (2016), 한국산학기술학회[DOI]
- 이병권, "멀티플 센싱을 이용한 태권도 동작 인식 시스템 구현", 멀티미디어학회논문지, 19(2), pp.436~442 (2016), 한국멀티미디어학회[DOI]
- Lee, H. J., "Gender differences in the pelvis & shoulder motion during the gait using motion capture data", Proceedings of the Society of CAD, 2016, 829~835
- 이정진, "증강현실 응용을 위한 손 끝점 추출과 손 동작 인식 기법", 멀티미디어학회논문지, 13(2), pp.316~323 (2010), 한국멀티미디어학회
- (2013)[URL]
- (2014)[URL]
- "Magazine of the IEEK", 2012, 18~26
- "OMbra"[URL]
- (2015)[URL]
- "Stridalyzer" (2015)[URL]
- (2015)[URL]
- "Iofit shoes" (2017)[URL]
- "Sensoria Socks"[URL]
- (2013)[URL]
- (2015)[URL]
- Son, D. K., "The conducting motion recognizing system using acceleration sensors for the virtual orchestra", master, pp.2006
- (2014)[URL]
- "Baby monitor" (2015)[URL]
- 서성은, "스마트패션제품 개발 동향에 관한 연구", 복식문화연구, 23(6), pp.1097~1115 (2015), 복식문화학회[DOI]
- "Myo"[URL]
- "2016"
- 윤현철, "Kinect 센서를 사용한 동작기반 게임 캐릭터 애니메이션", 한국컴퓨터게임학회논문지, 26(2), pp.147~153 (2013), (사)한국컴퓨터게임학회
- (2014)[URL]
