Abstract
Gait sensing by means of accelerometers yields quasi-periodic signals that can be analyzed in order to extract useful information. This paper introduces a method based on a Fuzzy Finite State Machine with temporary restrictions for tracking and recognizing the different states of human walking. Such operation is a mandatory task prior to perform a subsequent analysis on gait quality. Besides, the method described here allows to achieve this recognition when the sensing device, i.e. a smartphone, is being carried by the user in arbitrary orientations related to his/her body's natural axes. © 2012 Springer-Verlag.
Cite
CITATION STYLE
Ambres, O., & Trivino, G. (2012). Gait quality monitoring using an arbitrarily oriented smartphone. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7657 LNCS, pp. 224–231). https://doi.org/10.1007/978-3-642-35395-6_31
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