Study on multivariate analysis of anthropometric measures for upper body exoskeletons using archetypal analysis

Riemer, Julia; Wischniewski, Sascha

doi:10.1504/ijhfms.2022.124309

Cited by 3 publications

(1 citation statement)

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“…Analyzes were conducted separately for the male and female subset to avoid biases, because women and men are quite different in body shape, size and proportion. This is common practice and likewise implemented in comparable publications [7,8,[19][20][21]. Since the data analysis was identical for both genders, the two approaches are explained using the male subset as an example:…”

Section: Discussionmentioning

confidence: 99%

Comparing Univariate and Multivariate Analysis of Anthropometric Measurements from 3D Body Scans for Ergonomic Work System Designs

ACKERMANN¹,

WISCHNIEWSKI²

2022

Proceedings of 3DBODY.TECH 2022 - 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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To design ergonomic workplaces, planners need, among other things, anthropometric data to fit the work system to the physical body dimensions of the user group. In this design process, a general distinction between univariate and multivariate approaches can be made, if several anthropometric measurements need to be considered. The aim of this publication is to present the univariate percentile approach as well as the multivariate principal component analysis (PCA) approach and to discuss differences in the resulting total accommodation (TA). A seated office workstation with visual display terminal served as a generic use case, resulting in ten relevant ISO 7250-1 measurements. The utilized anthropometric dataset, consisting of 2313 subjects (1161 men and 1152 women), was gathered between 2014-2019 within an epidemiological health study in northeast Germany, using a Vitus Smart XXL Body Scanner. With the defined use case and user group, the univariate percentile approach and the multivariate PCA approach were performed separately for the male and female subset to achieve a desired TA of 90%. In the male subset, the total accommodation was 52.7% for the univariate percentile approach and 78.3% for the multivariate PCA approach. In the female subset, the total accommodation was 51.8% for the univariate percentile approach and 78.5% for the multivariate PCA approach. Therefore, given a multidimensional use case and an anthropometric dataset in an ergonomic design process, the results of this publication indicate that it should be examined whether a multivariate approach is superior to a univariate approach to achieve an adequate TA.

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Section: Discussionmentioning

confidence: 99%

Comparing Univariate and Multivariate Analysis of Anthropometric Measurements from 3D Body Scans for Ergonomic Work System Designs

ACKERMANN¹,

WISCHNIEWSKI²

2022

Proceedings of 3DBODY.TECH 2022 - 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

View full text Add to dashboard Cite

show abstract

Long-term effects and user acceptance of back-support exoskeletons in the workplace

Riemer,

Wischniewski

2023

Z. Arb. Wiss.

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The aim of our study was to evaluate the long-term effects of back-support exoskeletons (BSEs) in occupational settings. Valuable insights were gained through repeated in-depth interviews with occupational safety professionals over a one-year period regarding the use and impact of BSEs over a one-year period. The results highlight a significant lack of user acceptance, primarily due to movement restrictions and discomfort. Passive BSEs (PassEXOs) were reported to be sometimes uncomfortable, restricting mobility and causing pressure point discomfort, while quasipassive soft BSEs (SoftEXO) received more positive feedback. In addition, factors such as proper fit, adjustability, hygiene maintenance, and the ease of donning and doffing were identified as key determinants of employee acceptance of BSEs. By gaining a deeper understanding of these factors, organisations can facilitate a successful and sustainable integration of BSE technology into the workplace.

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Quantifying the biomechanical effects of back-support exoskeletons on work movements using statistical parametric mapping

Riemer,

Wischniewski,

Jaitner

2024

Journal of Safety Research

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Study on multivariate analysis of anthropometric measures for upper body exoskeletons using archetypal analysis

Cited by 3 publications

References 0 publications

Comparing Univariate and Multivariate Analysis of Anthropometric Measurements from 3D Body Scans for Ergonomic Work System Designs

Comparing Univariate and Multivariate Analysis of Anthropometric Measurements from 3D Body Scans for Ergonomic Work System Designs

Long-term effects and user acceptance of back-support exoskeletons in the workplace

Quantifying the biomechanical effects of back-support exoskeletons on work movements using statistical parametric mapping

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