CPC G06V 40/28 (2022.01) [G06F 18/253 (2023.01); G06N 3/04 (2013.01); G06V 10/454 (2022.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01); G06V 20/44 (2022.01); G06V 20/46 (2022.01); G06V 20/49 (2022.01); G06V 40/168 (2022.01); G06V 40/171 (2022.01)] | 20 Claims |
1. A gesture language recognition method, comprising:
obtaining a first video;
extracting gesture features from frames of images in the first video, each of the gesture features being extracted from a respective one of the frames based on a two-dimensional network model;
extracting gesture change features from the frames of the images in the first video, each of the gesture change features being extracted from a respective one of the frames based on a three-dimensional network model;
extracting gesture language word information from fused features that are determined based on the gesture features extracted based on the two-dimensional network model and the gesture change features extracted based on the three-dimensional network model; and
combining, by processing circuitry, the gesture language word information into a gesture language sentence according to context information corresponding to the gesture language word information.
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