지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.5
- 수록면
- 167 - 172 (6page)
이용수
초록· 키워드
오류제보하기
The concept of somatotyping is a unique method for the classification of human physique that was first invented by Sheldon and modified by Heath and Carter. Somatotype is also widely used as a tool to estimate the nutritional status of populations and to monitor the growth and diseases of individuals. Human bodies compose from many parts and it is difficult to judge the healthy status from the single index. The body image compose form the multiple indexes could help people to judge the healthy status from the anthropometry data. The aim of this study was to develop body image templates in both genders from the 3D anthropometry data to evaluate the human healthy status. This study collected the dimensions from anthropometry and body image among 90 Taiwanese participants in the Keelung Chang Gung Memorial Hospital, Taiwan. This research uses the 3D whole body photography system to collect the anthropometry dimensions and analyze the data from the Beauty3D software. Collecting the 5 indexes, including body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR) and waist-thigh ratio (WTR) and to judge the indexes for normal and abnormal status by the WHO standards. Using the multiple indexes to category the body health into 4 levels. The results show that 4 body image templates in both genders were created, and the difference between the different templates and genders were discovered. The body image templates showed the human body images come from the different health status. It can be concluded that different body image templates from the multiple dimensions can lead to judge the human healthy status and base on the different templates could provide the visual judgment for the different body types for the health status.
목차
ABSTRACT
1. Introduction
2. Method
3. Results
4. Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2016-530-002491729