METHOD FOR SEGMENTING SIGN LANGUAGE INTO MORPHEMES, METHOD FOR PREDICTING MORPHEME POSITIONS, AND METHOD FOR AUGMENTING DATA
Provided are a method for segmenting sign language into morphemes, a method for predicting morpheme positions, and a method for augmenting data. A system for analyzing sign language according to an embodiment of the present invention comprises: a recognition unit which recognizes key points of a spe...
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Main Authors | , , |
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Format | Patent |
Language | English |
Published |
25.07.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Provided are a method for segmenting sign language into morphemes, a method for predicting morpheme positions, and a method for augmenting data. A system for analyzing sign language according to an embodiment of the present invention comprises: a recognition unit which recognizes key points of a speaker from a sign language video; and a prediction unit which inputs the recognized key points into an artificial intelligence model, segments the sign language into morphemes, and predicts position information of the segmented morphemes. Accordingly, by recognizing the morphemes of the sign language video frame by frame on the basis of a skeletal model and thereby segmenting the sign language into morphemes and predicting morpheme positions, it is possible to lay the foundations for accurate sign language translation. |
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Bibliography: | Application Number: US202218289958 |