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• W3036697901 abstract "In this paper, a model is presented to extract statistical summaries to characterize the repetition of a cyclic body action, for instance a gym exercise, for the purpose of checking the compliance of the observed action to a template one and highlighting the parts of the action that are not correctly executed (if any). The proposed system relies on a Riemannian metric to compute the distance between two poses in such a way that the geometry of the manifold where the pose descriptors lie is preserved; a model to detect the begin and end of each cycle; a model to temporally align the poses of different cycles so as to accurately estimate the cross-sectional mean and variance of poses across different cycles. The proposed model is demonstrated using gym videos taken from the Internet." @default.
• W3036697901 created "2020-06-25" @default.
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• W3036697901 date "2020-11-01" @default.
• W3036697901 modified "2023-09-30" @default.
• W3036697901 title "Modelling the Statistics of Cyclic Activities by Trajectory Analysis on the Manifold of Positive-Semi-Definite Matrices" @default.
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• W3036697901 doi "https://doi.org/10.1109/fg47880.2020.00054" @default.
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