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인체부위 인식을 통한 깊이 카메라 기반의 자전거 피팅 시스템 개발
전혜성(Hyesung Jeon),이진원(Jinwon Lee),양정삼(Jeongsam Yang) (사)한국CDE학회 2015 한국CDE학회 논문집 Vol.21 No.2
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.
김필립(Phillip Kim),안소연(Soyeon Ahn),전혜성(Hyesung Jeon),이재관(Jae Kwan Lee),박성현(Sunghyun Park),장서일(Seo Il Chang),박일건(Il Gun Park),정찬구(Chan Gu Jung),권세곤(Se Gon Kwon) 한국소음진동공학회 2015 한국소음진동공학회 학술대회논문집 Vol.2015 No.4
A statistical annoyance model to railway noise at platform was proposed by jury evaluation test performed in hearing laboratory. ITX-Saemaeul and Mugunghwa were chosen as the noise sources of the test, and announcement sound was included to reflect real situation. Logistic regression analysis produced so called, %HALAB curve. Hosmer-Lemeshow test and classification accuracy test were used to verify the models statistical significance. It was shown that the model which was generated from relatively small size of sample is statistically significant.
철도 승강장 소음의 청감실반응평가모형에 대한 적합도 검정
김필립(Phillip Kim),안소연(Soyeon Ahn),전혜성(Hyesung Jeon),이재관(Jae Kwan Lee),박성현(Sunghyun Park),장서일(Seo Il Chang),박일건(Il Gun Park),정찬구(Chan Gu Jung),권세곤(Se Gon Kwon) 한국소음진동공학회 2015 한국소음진동공학회 논문집 Vol.25 No.4
A statistical annoyance model to railway noise at platform was proposed by jury evaluation test performed in hearing laboratory. ITX-Saemaeul and Mugunghwa were chosen as the noise sources of the test, and announcement sound was included to simulate real situation. Logistic regression analysis produced %HA<SUB>LAB</SUB> curve. Hosmer-Lemeshow test and classification accuracy test were used to verify the models statistical significance. It was shown that the model which was generated from relatively small number of samples is statistically significant.