Patents by Inventor Francesca Trenta

Francesca Trenta 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).

  • Image processing method and corresponding system
    Patent number: 11793406
    Abstract: A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.
    Type: Grant
    Filed: September 20, 2022
    Date of Patent: October 24, 2023
    Assignee: STMicroelectronics S.r.l.
    Inventors: Francesco Rundo, Francesca Trenta, Sabrina Conoci, Sebastiano Battiato
  • Image Processing Method and Corresponding System
    Publication number: 20230009282
    Abstract: A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.
    Type: Application
    Filed: September 20, 2022
    Publication date: January 12, 2023
    Inventors: Francesco Rundo, Francesca Trenta, Sabrina Conoci, Sebastiano Battiato
  • Image processing method and corresponding system
    Patent number: 11471084
    Abstract: A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.
    Type: Grant
    Filed: December 30, 2019
    Date of Patent: October 18, 2022
    Assignee: STMicroelectronics S.R.L.
    Inventors: Francesco Rundo, Francesca Trenta, Sabrina Conoci, Sebastiano Battiato
  • IMAGE PROCESSING METHOD AND CORRESPONDING SYSTEM
    Publication number: 20200214614
    Abstract: A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.
    Type: Application
    Filed: December 30, 2019
    Publication date: July 9, 2020
    Inventors: Francesco Rundo, Francesca Trenta, Sabrina Conoci, Sebastiano Battiato