Abstract
Falls are a major public health issue and many are caused by tripping. An important indicator of the risk of tripping is the minimum foot clearance. Current practices assess the mean and standard deviation of minimum foot clearance values to measure the tripping risk with lower mean and/or higher minimum foot clearance variability being associated with higher risk of tripping. However, this method of representing the foot trajectory by a single point and using the most basic linear statistics to analyze the data may be an oversimplification. In this paper, we search the current literature for alternative approaches of interpreting foot trajectory data to more accurately assess the risk of tripping. We discuss methods outlined by five different papers, each introducing a novel analysis of foot clearance data. We also propose an improved general model to estimate an individual’s probability of tripping by pooling the methods from the five papers.
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Delfi, G., Al Bochi, A., Dutta, T. (2021). Alternative Measures for Determining the Risk of Tripping. In: Black, N.L., Neumann, W.P., Noy, I. (eds) Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol 220. Springer, Cham. https://doi.org/10.1007/978-3-030-74605-6_80
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DOI: https://doi.org/10.1007/978-3-030-74605-6_80
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