Literature DB >> 30022717

A review of the methodology and applications of anthropometry in ergonomics and product design.

Iman Dianat1, Johan Molenbroek2, Héctor Ignacio Castellucci3.   

Abstract

Anthropometry is a key element of ergonomic studies for addressing the problem of fitting the tasks/products to user characteristics, but there is a gap between anthropometric data and their application for designing ergonomic products and environments. This research was conducted to review the literature on the methodology and applications of anthropometry for the ergonomic design of products and environments, and to identify where further research is needed to improve its application and evaluation protocols. One hundred and sixteen papers meeting the inclusion criteria were reviewed. Although a number of anthropometric investigations have been conducted to improve the design of products/environments for different users, further research seems to be necessary, particularly for special groups, such as children, the elderly and people with disabilities. Different anthropometric measurement methods/techniques and fitting criteria are discussed regarding their applicability for various design applications. This review also highlights methodological issues (sampling considerations and prototype evaluation and testing) that should be considered in future research to ensure a user-centred approach of the design process. Practitioner Summary: A literature review was conducted on the methodology and applications of anthropometry for the ergonomic design of products/environments. This review emphasises the need for anthropometric research to design for special groups, such as children, the elderly and people with disabilities, and methodological issues that should be considered in future research. Abbreviations: 1D: one-dimensional; 2D: two-dimensional; 3D: three-dimensional; HF/E: Human Factors/Ergonomics; PCA: Principal Components Analysis; CA: Cluster Analysis; DHM: Digital Human Modelling.

Entities:  

Keywords:  Anthropometric data; designing; fitting criteria; user groups

Mesh:

Year:  2018        PMID: 30022717     DOI: 10.1080/00140139.2018.1502817

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  4 in total

1.  Considerations for the transportation of school aged children amid the Coronavirus pandemic.

Authors:  Yousif Abulhassan; Gerard A Davis
Journal:  Transp Res Interdiscip Perspect       Date:  2020-12-26

2.  Verification of Xiphoid Point as a New Measuring Point for Chest Shape Measurement.

Authors:  Yulin Zhao; Dingbang Luh; Yue Sun; Fei Sun
Journal:  Comput Intell Neurosci       Date:  2022-08-25

3.  Linear Regression vs. Deep Learning: A Simple Yet Effective Baseline for Human Body Measurement.

Authors:  Kristijan Bartol; David Bojanić; Tomislav Petković; Stanislav Peharec; Tomislav Pribanić
Journal:  Sensors (Basel)       Date:  2022-02-28       Impact factor: 3.576

Review 4.  Sensor Architectures and Technologies for Upper Limb 3D Surface Reconstruction: A Review.

Authors:  Alessandro Paoli; Paolo Neri; Armando V Razionale; Francesco Tamburrino; Sandro Barone
Journal:  Sensors (Basel)       Date:  2020-11-18       Impact factor: 3.847

  4 in total

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