The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 11, 2025

Filed:

Sep. 05, 2023
Applicants:

King Fahd University of Petroleum and Minerals, Dhahran, SA;

Saudi Data and Artificial Intelligence Authority (Sdaia), Riyadh, SA;

Inventor:

Hamzah Abdullah Luqman, Dhahran, SA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/20 (2022.01); G06V 10/34 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01);
U.S. Cl.
CPC ...
G06V 40/28 (2022.01); G06V 10/34 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01);
Abstract

A sign language recognition system is described. The system includes a motion sensor, a processing circuitry and a display device. The motion sensor captures and records a dynamic sign language gesture as a sign video stream. The processing circuitry is configured with a key postures extractor, an accumulative video motion (AVM), and a sign recognition network (SRN). The key postures extractor captures main postures of the dynamic sign language gesture by extracting key frames in the sign video stream. The AVM captures motion of the sign video stream frames and transforms the motion in an AVM frame into a single AVM image. The SRN is configured as a convolutional network. The main postures and AVM image are fed into a two-stream network. The features from the two stream network are concatenated and fed into the SRN for learning fused features and performing classification of the sign language gesture.


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