SFINGE 3D: A novel benchmark for online detection and recognition of heterogeneous hand gestures from 3D fingers’ trajectories

Computers & Graphics(2020)

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摘要
•SFINGE 3D, novel benchmark for evaluating online gesture detection and recognition.•13 gestures dictionary, recognition task for detection and recognition with 72 gesture sequences.•Different approaches to test the benchmark: visual rendering and convolutional nerual networks.•Different approaches to test the benchmark: geometry-based and dissimilarity-based classifiers.
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Computers and graphics,Formatting,Guidelines
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