Abstract
Ground reaction forces generated during normal walking have recently been used to identify and/or classify individuals based upon the pattern of the forces observed over time. One feature that can be extracted from vertical ground reaction forces is body mass. This single feature has identifying power comparable to other studies that use multiple and more complex features. This study contributes to understanding the role of body mass in identification by (1) quantifying the accuracy and precision with which body mass can be obtained using vertical ground reaction forces, (2) quantifying the distribution of body mass across a population larger than has previously been studied in relation to gait analysis, and (3) quantifying the expected identification capabilities of systems using body mass as a weak biometric. Our results show that body mass can be measured in a fraction of a second with less than a 1 kilogram standard deviation of error.
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Jenkins, J., Ellis, C. (2007). Using Ground Reaction Forces from Gait Analysis: Body Mass as a Weak Biometric. In: LaMarca, A., Langheinrich, M., Truong, K.N. (eds) Pervasive Computing. Pervasive 2007. Lecture Notes in Computer Science, vol 4480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72037-9_15
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DOI: https://doi.org/10.1007/978-3-540-72037-9_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72036-2
Online ISBN: 978-3-540-72037-9
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