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- W4313363916 abstract "This paper addresses a methodology for the analysis of human gait, based on the data acquired by means of depth sensors. This methodology is dedicated to healthcare-related applications and involves the identification of the phases of the gait cycle by thresholding estimates of velocities of the examined person’s feet. In order to assess its performance, a series of experiments was carried out using a reference gait-analysis system based on a pressure-distribution-measurement platform. An original method for quantifying gait asymmetry, based on a quasi-correlation between the feet trajectories, was also proposed and tested experimentally. The results of the reported experiments seem to promise a high applicability potential of the considered methodology." @default.
- W4313363916 created "2023-01-06" @default.
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- W4313363916 date "2022-12-19" @default.
- W4313363916 modified "2023-09-26" @default.
- W4313363916 title "Spatiotemporal analysis of human gait, based on feet trajectories estimated by means of depth sensors" @default.
- W4313363916 doi "https://doi.org/10.21014/actaimeko.v11i4.1349" @default.
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