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Automatic Recognition of Gait Phases Using a Multiple-Regression Hidden Markov Model

IEEE/ASME Transactions on Mechatronics, no. 4 (2018): 1597-1607

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Abstract

This paper presents a new approach for automatic recognition of gait phases based on the use of an in-shoe pressure measurement system and a multiple-regression hidden Markov model (MRHMM) that takes into account the sequential completion of the gait phases. Recognition of gait phases is formulated as a multiple polynomial regression prob...More

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