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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Lusardi, M.M.: Is walking speed a vital sign? Absolutely. Top. Geriatr. Rehabil. 28(2), 67–76 (2012)
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)
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
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)
NIH Toolbox: Assessment of Neurological and Behavioral Function. http://www.nihtoolbox.org. Accessed 14 Sept 2017
Sprint system. http://browertiming.com/products/tc-timing-system/. Accessed 14 Sept 2017
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-94274-2_68
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94273-5
Online ISBN: 978-3-319-94274-2
eBook Packages: Computer ScienceComputer Science (R0)