Gathering 3D Body Surface Scans and Anthropometric Data as Part of an Epidemiological Health Study - Method and Results

被引:3
作者
Bonin, Dominik [1 ]
Radke, Doerte [2 ]
Wischniewski, Sascha [1 ]
机构
[1] Fed Inst Occupat Safety & Hlth, Dortmund, Germany
[2] Univ Med Greifswald, Inst Community Med SHIP KEF, Greifswald, Germany
来源
PROCEEDINGS OF THE 20TH CONGRESS OF THE INTERNATIONAL ERGONOMICS ASSOCIATION (IEA 2018), VOL V: HUMAN SIMULATION AND VIRTUAL ENVIRONMENTS, WORK WITH COMPUTING SYSTEMS (WWCS), PROCESS CONTROL | 2019年 / 822卷
关键词
3D body surface scanning; Anthropometric database; Scanning methodology; HIGH AGREEMENT; LOW KAPPA; ACCURACY;
D O I
10.1007/978-3-319-96077-7_14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Gathering reliable and up-to-date full datasets of ISO-compliant anthropometric measures is time consuming and expensive. To use synergetic effects an explorative method was tested to use the environment of an existing population-based epidemiological study and extend the study design with additional three-dimensional body surface scans. Besides the standard algorithm based measure extraction, additional 34 ISO 7250-1 measures were extracted by manually identifying 44 anatomical landmarks on the 3D images. High priority was given to quality and reliability of the data. Therefore, standard operating procedures (SOPs) as well as a stringent quality assurance procedure were defined. In addition, three manually taken measures (height, waist-and hip-circumference) were compared to the extracted body scan data. The results of the manual reading process showed ambiguous results: some ISO measures showed a good intra- and interobserver reliability whereas others were difficult to identify on the scan images.
引用
收藏
页码:128 / 140
页数:13
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