Anthropometric dataset for the German working-age population using 3D body scans from a regional epidemiological health study and a weighting algorithm

被引:9
作者
Bonin, Dominik [1 ]
Ackermann, Alexander [1 ]
Radke, Dorte [2 ]
Peters, Markus [1 ]
Wischniewski, Sascha [1 ]
机构
[1] Fed Inst Occupat Safety & Hlth BAuA, Friedrich Henkel Weg 1-25, D-44149 Dortmund, Germany
[2] Univ Med Greifswald, Inst Community Med SHIP KEF, Greifswald, Germany
关键词
Anthropometry; data weighting; survey methodology; occupational safety and health; DESIGN; ACCURACY;
D O I
10.1080/00140139.2022.2130440
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
For the ergonomic design of workplaces and products, a representative anthropometric dataset of the working-age population is needed. As body proportions are constantly changing and the latest publicly available dataset for Germany was published in 2004 (data collection period 1999-2002), the aim of this study was to create and publish an updated anthropometric dataset of the German working-age population. Within a regional epidemiological health study, 3D body scan data from 2313 subjects were collected and used to create an anthropometric dataset with a total of 39 ISO 7250-1 measures. To approximate the goal of generating representative values for Germany, the collected regional dataset was weighted with an algorithm, using values from a known nationally representative survey. Based on the weighted dataset, a gender stratified percentile table with values for the 5th, 50th, and 95th percentile was calculated. Practitioner summary: Body proportions are constantly changing and the latest publicly available anthropometric dataset for Germany was published in 2004. A new dataset was created, using 3D body scans from an epidemiological health study and a weighting algorithm. Ultimately, percentile tables with values for the 5th, 50th, and 95th percentile are published.
引用
收藏
页码:1057 / 1071
页数:15
相关论文
共 44 条
  • [1] Anthropometric Measure Extraction and Offset Calculation for 3D Body Scan Data, Obtained from an Epidemiological Health Study
    Bonin, Dominik
    Wischniewski, Sascha
    Peters, Markus
    Radke, Doerte
    [J]. PROCEEDINGS OF THE 6TH INTERNATIONAL DIGITAL HUMAN MODELING SYMPOSIUM (DHM2020), 2020, 11 : 11 - 17
  • [2] Gathering 3D Body Surface Scans and Anthropometric Data as Part of an Epidemiological Health Study - Method and Results
    Bonin, Dominik
    Radke, Doerte
    Wischniewski, Sascha
    [J]. 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, 822 : 128 - 140
  • [3] Applied anthropometry for common industrial settings design: Working and ideal manual handling heights
    Castellucci, Hector
    Viviani, Carlos
    Arezes, Pedro
    Molenbroek, Johan F. M.
    Martinez, Marta
    Aparici, Veronica
    Dianat, I
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2020, 78
  • [4] Demographie Portal, 2020, BEV MIGR
  • [5] Anthropometric data of female farm workers from north eastern India and design of hand tools of the hilly region
    Dewangan, K. N.
    Owary, C.
    Datta, R. K.
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2008, 38 (01) : 90 - 100
  • [6] A review of the methodology and applications of anthropometry in ergonomics and product design
    Dianat, Iman
    Molenbroek, Johan
    Ignacio Castellucci, Hector
    [J]. ERGONOMICS, 2018, 61 (12) : 1696 - 1720
  • [7] DIN, 2020, DIN 2020 33402 22020
  • [8] A survey of anthropometry and physical accommodation in ergonomics curricula
    Garneau, Christopher J.
    Parkinson, Matthew B.
    [J]. ERGONOMICS, 2016, 59 (01) : 143 - 154
  • [9] Design of combine harvester seat based on anthropometric data of Iranian operators
    Ghaderi, Edris
    Maleki, Ali
    Dianat, Iman
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2014, 44 (06) : 810 - 816
  • [10] Gordon C., 2002, CONT ERGONOMICS, P582