자전거 피팅 통합 시스템 개발을 위한 신체측정 방법에 관한 고찰
A Study on the Physical Measurement Method for the Development of Bicycle Fitting Integrated System
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초록
Bicycle fitting used to depend on empirical adherence of bicycle Peter and intuitive judgment by hand, but recent developments in industry and the Fourth Industrial Revolution have continuously developed other related tools that can be applied to bicycle fitting. Depending on these circumstances, bicycle fitting technology is also developing, and due to the difficulty of the technicians, there is a limit to popularizing. The Bicycle Integrated Fitting System has the need for this study to make these problems easy for anyone to operate by the system of manual. The purpose of this study is to examine the methods of physical sizing among the various stages of developing these systems. Accurate physical measurements can improve the efficiency of bicycle riding and minimize the injury of bicycle risers issued by incorrect fittings. Thus, in this study, physical measurement methods for bicycle fitting were derived by body region and applied to the post-measurement fitting as well as the location and method of measurement. It has prepared a basis for establishing a core database for physical measurement of development of integrated bicycle fitting system. Research was conducted to enhance understanding and utilization of users after system development and results were derived for the purpose of the study. Research was conducted to establish a database for the development of a bicycle integrated fitting system, and future research on bicycle fitting methods, application of the system, and hardware development should be carried out.
Abstract
Bicycle fitting used to depend on empirical adherence of bicycle Peter and intuitive judgment by hand, but recent developments in industry and the Fourth Industrial Revolution have continuously developed other related tools that can be applied to bicycle fitting. Depending on these circumstances, bicycle fitting technology is also developing, and due to the difficulty of the technicians, there is a limit to popularizing. The Bicycle Integrated Fitting System has the need for this study to make these problems easy for anyone to operate by the system of manual. The purpose of this study is to examine the methods of physical sizing among the various stages of developing these systems. Accurate physical measurements can improve the efficiency of bicycle riding and minimize the injury of bicycle risers issued by incorrect fittings. Thus, in this study, physical measurement methods for bicycle fitting were derived by body region and applied to the post-measurement fitting as well as the location and method of measurement. It has prepared a basis for establishing a core database for physical measurement of development of integrated bicycle fitting system. Research was conducted to enhance understanding and utilization of users after system development and results were derived for the purpose of the study. Research was conducted to establish a database for the development of a bicycle integrated fitting system, and future research on bicycle fitting methods, application of the system, and hardware development should be carried out.
참고문헌 (9)
- Shon Gyoung Hoan, "BIKE FITTER MANUAl" (2014), Dae Keoung Books
- "Bicycle life, 2010(7)", ~ (2010)
- Ministry of Culture and Sports, "Activating the Sports Industry Workshop", ~ (2011)
- Yoon Dal Hwan, "A Bicycle Sizing and Fitting System by Extraction of Visual Information of the Piece", Patent power 10-2011-0024739, 2011
- Bicycle Culture Space of Citizens, "Hong Seok Ki", Seoul Development Institute, ~, pp.2009-PR-18 (2009)
- 연상호, "바이크 사용자용 지능형 Smart Sizing 및 Fitting 시스템 구현", 한국콘텐츠학회 논문지, 13(5), pp.451~458 (2013), 한국콘텐츠학회[DOI]
- E. Smirni, "Workload-Aware Load Balancing for Cluster Web Servers", IEEE Trans. on Parallel and Distributed Systems, 16(3), pp.219~232 (2005)
- K. D. hong, "An Efficient Dynamic Workload Balancing Strategy", Journal of The Korea Society of Computer and Information, 15(1), pp.1~10 (2010)
- Q. Deng, "Dual threshold based unsupervised face image clustering", Proceedings of the 2nd International Conference on Industrial Mechatronics and Automation, pp.436~439 (2010)
