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- W2946688293 abstract "In this paper, we propose a new hand gesture recognition method based on skeletal data by learning SPD matrices with neural networks. We model the hand skeleton as a graph and introduce a neural network for SPD matrix learning, taking as input the 3D coordinates of hand joints. The proposed network is based on two newly designed layers that transform a set of SPD matrices into a SPD matrix. For gesture recognition, we train a linear SVM classifier using features extracted from our network. Experimental results on a challenging dataset (Dynamic Hand Gesture dataset from the SHREC 2017 3D Shape Retrieval Contest) show that the proposed method outperforms state-of-the-art methods." @default.
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- W2946688293 date "2019-05-01" @default.
- W2946688293 modified "2023-10-18" @default.
- W2946688293 title "Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks" @default.
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- W2946688293 doi "https://doi.org/10.1109/fg.2019.8756512" @default.
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