Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105014
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Title: Prediction model of one-handed pull strength in the sagittal plane
Authors: Wang, H 
Yan, M
Tao, D
Issue Date: 2021
Source: Lecture notes in networks and systems, 2021, v. 273, p. 380-387
Abstract: Understanding individuals’ capability of one-handed pull strength is crucial in manual handling task design as one-handed pulling is frequently conducted in daily life. The present study was designed to develop prediction models of one-handed pull strength from anthropometrics and body-joint angles. One hundred Chinese adults were recruited and instructed to provide their maximum one-handed pull strength in the sagittal plane. Sagittal-plane photographs were taken for measuring three joint angles (i.e., trunk angle, knee angle, and ankle angle). T-tests, ANOVAs, and stepwise multiple regression analysis were conducted for data analysis. Five prediction models were developed with the adjusted R2 values ranging from 0.621 to 0.818 (all ps < 0.001). Significant predictors were reported and discussed. The findings contribute to physical ergonomics and human factors by providing prediction models for reference values of one-handed pull strength of a population, further facilitating safety designs of tasks involved one-handed pulling (144 words).
Keywords: One-handed pull strength
Physical ergonomics
Prediction
Sagittal plane
Publisher: Springer Cham
Journal: Lecture notes in networks and systems 
ISBN: 978-3-030-80712-2 (Softcover)
978-3-030-80713-9 (eBook)
ISSN: 2367-3370
EISSN: 2367-3389
DOI: 10.1007/978-3-030-80713-9_48
Description: AHFE 2021 Virtual Conferences on Physical Ergonomics and Human Factors, Social & Occupational Ergonomics, and Cross-Cultural Decision Making, July 25-29, 2021, USA
Rights: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
This version of the proceeding paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-030-80713-9_48.
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