Patents by Inventor Savarimuthu Margret Anouncia

Savarimuthu Margret Anouncia 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).

  • System and method for predicting neurological disorders
    Patent number: 10262196
    Abstract: A method and system for predicting neurological disorders is provided. The method comprises receiving videos of individuals and detecting Regions of Interest (ROI) in video frames. The method further comprises determining a Motion Vector (MV) for each ROI in a set of successive frames and comparing value of the determined MV with pre-stored values. Furthermore, the method comprises identifying a MV matching a pre-stored value thereby identifying a ROI and a frame corresponding to the identified MV, wherein the pre-stored value indicates onset of an expression. Also, the method comprises determining MVs for the identified ROI in subsequent sets of successive frames and comparing value of the determined MVs with a pre-stored value of MV corresponding to peak and offset of the indicated expression. The method further comprises identifying the frame corresponding to the peak and offset of the indicated expression and generating pictorial representation for predicting neurological disorders.
    Type: Grant
    Filed: September 29, 2016
    Date of Patent: April 16, 2019
    Assignee: COGNIZANT TECHNOLOGY SOLUTIONS INDIA PVT. LTD.
    Inventors: Geelapaturu Subrahmanya Venkata Radha Krishna Rao, Kuhelee Roy, Savarimuthu Margret Anouncia
  • System and method for predicting neurological disorders
    Patent number: 9715622
    Abstract: A method and system for predicting neurological disorders is provided. The method comprises receiving videos of individuals and detecting Regions of Interest (ROI) in video frames. The method further comprises determining a Motion Vector (MV) for each ROI in a set of successive frames and comparing value of the determined MV with pre-stored values. Furthermore, the method comprises identifying a MV matching a pre-stored value thereby identifying a ROI and a frame corresponding to the identified MV, wherein the pre-stored value indicates onset of an expression. Also, the method comprises determining MVs for the identified ROI in subsequent sets of successive frames and comparing value of the determined MVs with a pre-stored value of MV corresponding to peak and offset of the indicated expression. The method further comprises identifying the frame corresponding to the peak and offset of the indicated expression and generating pictorial representation for predicting neurological disorders.
    Type: Grant
    Filed: July 13, 2015
    Date of Patent: July 25, 2017
    Assignee: COGNIZANT TECHNOLOGY SOLUTIONS INDIA PVT. LTD.
    Inventors: Geelapaturu Subrahmanya Venkata Radha Krishna Rao, Kuhelee Roy, Savarimuthu Margret Anouncia
  • SYSTEM AND METHOD FOR PREDICTING NEUROLOGICAL DISORDERS
    Publication number: 20170046569
    Abstract: A method and system for predicting neurological disorders is provided. The method comprises receiving videos of individuals and detecting Regions of Interest (ROI) in video frames. The method further comprises determining a Motion Vector (MV) for each ROI in a set of successive frames and comparing value of the determined MV with pre-stored values. Furthermore, the method comprises identifying a MV matching a pre-stored value thereby identifying a ROI and a frame corresponding to the identified MV, wherein the pre-stored value indicates onset of an expression. Also, the method comprises determining MVs for the identified ROI in subsequent sets of successive frames and comparing value of the determined MVs with a pre-stored value of MV corresponding to peak and offset of the indicated expression. The method further comprises identifying the frame corresponding to the peak and offset of the indicated expression and generating pictorial representation for predicting neurological disorders.
    Type: Application
    Filed: September 29, 2016
    Publication date: February 16, 2017
    Inventors: Geelapaturu Subrahmanya Venkata Radha Krishna Rao, Kuhelee Roy, Savarimuthu Margret Anouncia
  • SYSTEM AND METHOD FOR PREDICTING NEUROLOGICAL DISORDERS
    Publication number: 20160189371
    Abstract: A method and system for predicting neurological disorders is provided. The method comprises receiving videos of individuals and detecting Regions of Interest (ROI) in video frames. The method further comprises determining a Motion Vector (MV) for each ROI in a set of successive frames and comparing value of the determined MV with pre-stored values. Furthermore, the method comprises identifying a MV matching a pre-stored value thereby identifying a ROI and a frame corresponding to the identified MV, wherein the pre-stored value indicates onset of an expression. Also, the method comprises determining MVs for the identified ROI in subsequent sets of successive frames and comparing value of the determined MVs with a pre-stored value of MV corresponding to peak and offset of the indicated expression. The method further comprises identifying the frame corresponding to the peak and offset of the indicated expression and generating pictorial representation for predicting neurological disorders.
    Type: Application
    Filed: July 13, 2015
    Publication date: June 30, 2016
    Inventors: Geelapaturu Subrahmanya Venkata Radha Krishna Rao, Kuhelee Roy, Savarimuthu Margret Anouncia