Effects of Foot–Floor Friction on Trip-Induced Falls During Shuffling Gait: A Simulation Study

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Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021) (IEA 2021)

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Abstract

Trip** while walking has been identified as the most common cause of falls among the elderly as they tend to utilize a shuffling gait while walking, which increases the risk of falling. Since trip** occurs when toes make unexpected contact with objects on the floor, a number of studies have investigated the impact of foot clearance on the risk of trip**. However, only a few studies have examined the effects of foot–floor friction on the risk of trip**. Thus, in this current study, we investigated the effect of foot–floor friction on the probability of trip-induced falls during normal and shuffling gaits in a computational simulation study. We used a computational model with neural rhythm generators and neuromusculoskeletal systems to simulate gait in a self-organized manner. By changing the parameters of the neural rhythm generator, gait parameters such as step length, cadence, and foot clearance were automatically reduced, which simulated the shuffling gait. To alter the foot–floor friction, we changed the spring coefficient ratio of the floor in horizontal and vertical directions. As per our results, it was determined that slip-induced falls occurred under low foot–floor friction conditions in both normal and shuffling gaits, whereas trip-induced falls occurred under high foot–floor friction conditions only with a shuffling gait. These results suggest that optimal foot–floor friction may prevent trip- and slip-induced falls among the elderly.

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Correspondence to Takeshi Yamaguchi .

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Yamaguchi, T., Nakatani, K., Hirose, T., Yoshida, T., Masani, K. (2022). Effects of Foot–Floor Friction on Trip-Induced Falls During Shuffling Gait: A Simulation Study. 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 223. Springer, Cham. https://doi.org/10.1007/978-3-030-74614-8_104

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  • DOI: https://doi.org/10.1007/978-3-030-74614-8_104

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-74613-1

  • Online ISBN: 978-3-030-74614-8

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