Patents by Inventor Hamzah LUQMAN

Hamzah LUQMAN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Methods and systems for computerized recognition of hand gestures
    Patent number: 11227151
    Abstract: Methods, systems, and computer readable media for recognizing one or more hand gestures of a hand-based signal or conversation are described. Some implementations include obtaining one or more unprocessed images of the hand-based signal or conversation including images of at least one of the one or more hand gestures extracting one or more spectral features from the one or more unprocessed images using a Gabor filter bank, receiving the one or more unprocessed images of the one or more hand gestures and the extracted one or more spectral features by a Convolution Neural Network (CNN), and outputting a classification for the at least one of the one or more hand gestures using the Convolution Neural Network (CNN). In some implementations, at least one of the extracted one or more spectral features and at least one of the one or more unprocessed images of the one or more hand gestures are concatenated and input to the Convolution Neural Network (CNN).
    Type: Grant
    Filed: March 5, 2020
    Date of Patent: January 18, 2022
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Hamzah Luqman, El-Sayed M. El-Alfy, Galal M. Binmakhashen
  • Methods, computer readable media, and systems for machine translation between Arabic and Arabic sign language
    Patent number: 11216617
    Abstract: Methods, systems, and computer readable media for machine translation between Arabic language and Arabic Sign Language are described.
    Type: Grant
    Filed: December 18, 2018
    Date of Patent: January 4, 2022
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Hamzah Luqman, Sabri A. Mahmoud
  • METHODS AND SYSTEMS FOR COMPUTERIZED RECOGNITION OF HAND GESTURES
    Publication number: 20210279453
    Abstract: Methods, systems, and computer readable media for recognizing one or more hand gestures of a hand-based signal or conversation are described. Some implementations include obtaining one or more unprocessed images of the hand-based signal or conversation including images of at least one of the one or more hand gestures extracting one or more spectral features from the one or more unprocessed images using a Gabor filter bank, receiving the one or more unprocessed images of the one or more hand gestures and the extracted one or more spectral features by a Convolution Neural Network (CNN), and outputting a classification for the at least one of the one or more hand gestures using the Convolution Neural Network (CNN). In some implementations, at least one of the extracted one or more spectral features and at least one of the one or more unprocessed images of the one or more hand gestures are concatenated and input to the Convolution Neural Network (CNN).
    Type: Application
    Filed: March 5, 2020
    Publication date: September 9, 2021
    Applicant: King Fahd University of Petroleum and Minerals
    Inventors: Hamzah Luqman, El-Sayed M. El-Alfy, Galal M. Binmakhashen
  • METHODS, COMPUTER READABLE MEDIA, AND SYSTEMS FOR MACHINE TRANSLATION BETWEEN ARABIC AND ARABIC SIGN LANGUAGE
    Publication number: 20200192982
    Abstract: Methods, systems, and computer readable media for machine translation between Arabic language and Arabic Sign Language are described.
    Type: Application
    Filed: December 18, 2018
    Publication date: June 18, 2020
    Applicant: King Fahd University of Petroleum and Minerals
    Inventors: Hamzah LUQMAN, Sabri A. MAHMOUD