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Development and Evaluation of a Device to Measure Walking Speed

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Computers Helping People with Special Needs (ICCHP 2018)

Abstract

This manuscript describes the development and testing of a device to measure walking speed. The Gaitbox is a custom, microprocessor-based device that uses an infrared distance sensor to automatically measure, calculate and display walking speed. Walking speed is a critical performance measure that has been shown to be a strong indicator of long-term health and life expectancy in older people. The Gaitbox was compared to the measures obtained by clinicians administering the timed NIH 4-m walk test and the Sprint System device.

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References

  1. Lusardi, M.M.: Is walking speed a vital sign? Absolutely. Top. Geriatr. Rehabil. 28(2), 67–76 (2012)

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  2. Guralnik, J.M., Ferrucci, L., et al.: Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. J. Gerontol. MS 55A(4), M221–M231 (2000)

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  3. Studenski, S., Perera, S., et al.: Gait speed and survival in older adults. JAMA 305(1), 50–58 (2011). https://doi.org/10.1001/jama.2010.1923

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  4. Hardy, S.E., Perera, S., et al.: Improvement in usual gait speed predicts better survival in older adults. J. Am. Geriatr. Soc. 55(11), 1727–1734 (2007)

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  5. NIH Toolbox: Assessment of Neurological and Behavioral Function. http://www.nihtoolbox.org. Accessed 14 Sept 2017

  6. Sprint system. http://browertiming.com/products/tc-timing-system/. Accessed 14 Sept 2017

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Correspondence to Kevin Caves .

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Caves, K., Davis, L., DeRuyter, F. (2018). Development and Evaluation of a Device to Measure Walking Speed. In: Miesenberger, K., Kouroupetroglou, G. (eds) Computers Helping People with Special Needs. ICCHP 2018. Lecture Notes in Computer Science(), vol 10897. Springer, Cham. https://doi.org/10.1007/978-3-319-94274-2_68

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  • DOI: https://doi.org/10.1007/978-3-319-94274-2_68

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94273-5

  • Online ISBN: 978-3-319-94274-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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