한국CDE학회논문집 (Korean Journal of Computational Design and Engineering)

  • 제20권4호
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  • Pages.375-384
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  • 2015
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  • 2508-4003(pISSN)
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  • 2508-402X(eISSN)
한국CDE학회 (Society for Computational Design and Engineering)
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인체부위 인식을 통한 깊이 카메라 기반의 자전거 피팅 시스템 개발

Development of a Bicycle Fitting System Based on Depth Camera through Body Part Recognition

  • Jeon, Hyesung (Dept. of Industrial Engineering, Ajou University) ;
  • Lee, Jinwon (Dept. of Industrial Engineering, Ajou University) ;
  • Yang, Jeongsam (Dept. of Industrial Engineering, Ajou University)
  • 투고 : 2015.06.24
  • 심사 : 2015.08.12
  • 발행 : 2015.12.01
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초록

Recently, there has been a gradual increase in the number of people who are interested in cycling, leading to an increasing number of cycling equipment consumers. However, many bicyclists get hurt because of their lack of knowledge about the right size of bicycle for their body. Although it is necessary for a rider to fit their bicycle to prevent injury, they reject a fitting service because of the long hours and high cost. In this study, we propose a bicycle fitting system that uses a depth camera to improve the limitations of existing manual fitting systems. With the defined formula, the system calculates the size of the bicycle using body image information extracted by a depth camera and visualizes a customized bicycle for a specific consumer. This system will not only save the customer time and money, but will prevent injury from the use of a bicycle that does not fit.

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참고문헌

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