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Computer Methods in Biomechanics and Biomedical Engineering Volume 19, 2016 - Issue 1
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Articles

Predicting the probability of slip in gait: methodology and distribution study

Jared GraggDepartment of Mechanical Engineering, Texas Tech University, Lubbock, TX, 79409, USA
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James YangDepartment of Mechanical Engineering, Texas Tech University, Lubbock, TX, 79409, USACorrespondence[email protected]
Pages 93-100 | Received 23 Mar 2014, Accepted 29 Nov 2014, Published online: 07 Jan 2015

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Jared Gragg, Ellison Klose & James Yang. (2017) Modelling the stochastic nature of the available coefficient of friction at footwear-floor interfaces. Ergonomics 60:7, pages 977-984.
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Articles from other publishers (2)

Norman Huynh, Geoff Fernie, Tilak Dutta & Atena Roshan Fekr. (2021) A novel approach for slip resistance evaluation of winter footwear based on probability of slipping and cost analysis. Safety Science 137, pages 105133.
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Richard Hughes. (2020) Hybrid Bayesian Network Models of Spinal Injury and Slip/Fall Events. Applied Sciences 10:14, pages 4834.
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