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Krawtchouk moments for gait phase detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014) 8827 787-793
DOI: 10.1007/978-3-319-12568-8_95
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Abstract

We present a novel method for gait phase detection based on Krawtchouk moments, which can be used in gait analysis. The low computational cost and high capacity of description of the Krauchouk moments makes it easy detect the parameters of the gait cycle, such as the swing phase, stance phase and double support. In addition, we present the results of the gait phases detection with the proposed method of 10 test subjects and compared with standard values.

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Camacho-Bello, C., & Báez-Rojas, J. J. (2014). Krawtchouk moments for gait phase detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8827, pp. 787–793). Springer Verlag. https://doi.org/10.1007/978-3-319-12568-8_95

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