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W1573291296 abstract "We present a novel approach for improved hand-gesture recognition by a single time-of-flight(ToF) sensor in an automotive environment. As the sensor's lateral resolution is comparatively low, we employ a learning approach comprising multiple processing steps, including PCA-based cropping, the computation of robust point cloud descriptors and training of a Multilayer perceptron (MLP) on a large database of samples. A sophisticated temporal fusion technique boosts the overall robustness of recognition by taking into account data coming from previous classification steps. Overall results are very satisfactory when evaluated on a large benchmark set of ten different hand poses, especially when it comes to generalization on previously unknown persons." @default.
W1573291296 created "2016-06-24" @default.
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W1573291296 date "2015-06-01" @default.
W1573291296 modified "2023-10-17" @default.
W1573291296 title "A light-weight real-time applicable hand gesture recognition system for automotive applications" @default.
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W1573291296 doi "https://doi.org/10.1109/ivs.2015.7225708" @default.
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