Invention Grant
- Patent Title: Computer implemented method for sign language characterization
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Application No.: US16024176Application Date: 2018-06-29
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Publication No.: US10176367B2Publication Date: 2019-01-08
- Inventor: Sabri A. Mahmoud , Ala Addin Sidig
- Applicant: King Fahd University of Petroleum and Minerals
- Applicant Address: SA Dhahran
- Assignee: King Fahd University of Petroleum and Minerals
- Current Assignee: King Fahd University of Petroleum and Minerals
- Current Assignee Address: SA Dhahran
- Agency: Oblon, McClelland, Maier & Neustadt, L.L.P.
- Main IPC: G10L21/06
- IPC: G10L21/06 ; G06K9/00 ; G06F3/01

Abstract:
A sign language recognizer is configured to detect interest points in an extracted sign language feature, wherein the interest points are localized in space and time in each image acquired from a plurality of frames of a sign language video; apply a filter to determine one or more extrema of a central region of the interest points; associate features with each interest point using a neighboring pixel function; cluster a group of extracted sign language features from the images based on a similarity between the extracted sign language features; represent each image by a histogram of visual words corresponding to the respective image to generate a code book; train a classifier to classify each extracted sign language feature using the code book; detect a posture in each frame of the sign language video using the trained classifier; and construct a sign gesture based on the detected postures.
Public/Granted literature
- US20180322338A1 COMPUTER IMPLEMENTED METHOD FOR SIGN LANGUAGE CHARACTERIZATION Public/Granted day:2018-11-08
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