Patents by Inventor Salihu Oladimeji ALIYU

Salihu Oladimeji ALIYU 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).

  • Multi-camera spatial sign language recognition method and system
    Patent number: 9811722
    Abstract: Systems and methods for sign language recognition are described to include circuitry to detect and track at least one hand and at least one finger of the at least one hand from at least two different locations in a room, generate a 3-dimensional (3D) interaction space based on the at least two different locations, acquire 3D data related to the at least one detected and tracked hand and the at least one detected and tracked finger, extract 3D features associated with the at least one detected and tracked hand and the at least one detected and tracked finger, analyze a relevance metric related to the extracted 3D features, classify at least one pattern from each of the at least two different locations based on a fusion of data outputs by the circuitry, and generate a recognized sign language letter based on the fusion of the data outputs.
    Type: Grant
    Filed: April 14, 2017
    Date of Patent: November 7, 2017
    Assignee: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Mohamed Mohandes, Mohamed Abdelouaheb Deriche, Salihu Oladimeji Aliyu
  • MULTI-CAMERA SPATIAL SIGN LANGUAGE RECOGNITION METHOD AND SYSTEM
    Publication number: 20170220856
    Abstract: Systems and methods for sign language recognition are described to include circuitry to detect and track at least one hand and at least one finger of the at least one hand from at least two different locations in a room, generate a 3-dimensional (3D) interaction space based on the at least two different locations, acquire 3D data related to the at least one detected and tracked hand and the at least one detected and tracked finger, extract 3D features associated with the at least one detected and tracked hand and the at least one detected and tracked finger, analyze a relevance metric related to the extracted 3D features, classify at least one pattern from each of the at least two different locations based on a fusion of data outputs by the circuitry, and generate a recognized sign language letter based on the fusion of the data outputs.
    Type: Application
    Filed: April 14, 2017
    Publication date: August 3, 2017
    Applicant: King Fahd University of Petroleum and Minerals
    Inventors: Mohamed MOHANDES, Mohamed Abdelouaheb DERICHE, Salihu Oladimeji ALIYU
  • Arabic sign language recognition using multi-sensor data fusion
    Patent number: 9672418
    Abstract: Systems and methods for sign language recognition are described to include circuitry to detect and track at least one hand and at least one finger of the at least one hand from at least two different locations in a room, generate a 3-dimensional (3D) interaction space based on the at least two different locations, acquire 3D data related to the at least one detected and tracked hand and the at least one detected and tracked finger, extract 3D features associated with the at least one detected and tracked hand and the at least one detected and tracked finger, analyze a relevance metric related to the extracted 3D features, classify at least one pattern from each of the at least two different locations based on a fusion of data outputs by the circuitry, and generate a recognized sign language letter based on the fusion of the data outputs.
    Type: Grant
    Filed: September 23, 2015
    Date of Patent: June 6, 2017
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Mohamed Mohandes, Mohamed Abdelouaheb Deriche, Salihu Oladimeji Aliyu
  • ARABIC SIGN LANGUAGE RECOGNITION USING MULTI-SENSOR DATA FUSION
    Publication number: 20160232403
    Abstract: Systems and methods for sign language recognition are described to include circuitry to detect and track at least one hand and at least one finger of the at least one hand from at least two different locations in a room, generate a 3-dimensional (3D) interaction space based on the at least two different locations, acquire 3D data related to the at least one detected and tracked hand and the at least one detected and tracked finger, extract 3D features associated with the at least one detected and tracked hand and the at least one detected and tracked finger, analyze a relevance metric related to the extracted 3D features, classify at least one pattern from each of the at least two different locations based on a fusion of data outputs by the circuitry, and generate a recognized sign language letter based on the fusion of the data outputs.
    Type: Application
    Filed: September 23, 2015
    Publication date: August 11, 2016
    Applicant: King Fahd University of Petroleum and Minerals
    Inventors: Mohamed MOHANDES, Mohamed Abdelouaheb DERICHE, Salihu Oladimeji ALIYU