Patents by Inventor Patrick E. Rodriguez

Patrick E. Rodriguez 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).

  • Content management and delivery system
    Patent number: 11164070
    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for determining user engagement with a content item. A computing device accesses at least one image of eyes of a user that is captured while a client device is presenting a first content item on a display of the client device. The computing device determines, based on using the at least one image as input in a neural network, a gaze of the user. The gaze including coordinates at which the user is looking in relation to the client device. The neural network was trained based on machine generated images of a modeled human user looking at various coordinates. The computing device determines, based on the gaze of the user, an engagement score for the user. The engagement score indicates a level of engagement of the user with the first content item.
    Type: Grant
    Filed: March 25, 2020
    Date of Patent: November 2, 2021
    Assignee: Beseeq
    Inventors: Lisa C Hammitt, Mark K. Hammitt, Rebecca E. Krauthamer, Patrick E. Rodriguez
  • CONTENT MANAGEMENT AND DELIVERY SYSTEM
    Publication number: 20200327398
    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for determining user engagement with a content item. A computing device accesses at least one image of eyes of a user that is captured while a client device is presenting a first content item on a display of the client device. The computing device determines, based on using the at least one image as input in a neural network, a gaze of the user. The gaze including coordinates at which the user is looking in relation to the client device. The neural network was trained based on machine generated images of a modeled human user looking at various coordinates. The computing device determines, based on the gaze of the user, an engagement score for the user. The engagement score indicates a level of engagement of the user with the first content item.
    Type: Application
    Filed: March 25, 2020
    Publication date: October 15, 2020
    Inventors: Lisa C. Hammitt, Mark K. Hammitt, Rebecca E. Krauthamer, Patrick E. Rodriguez
  • Content management and delivery system
    Patent number: 10621488
    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for determining user engagement with a content item. A computing device accesses at least one image of eyes of a user that is captured while a client device is presenting a first content item on a display of the client device. The computing device determines, based on using the at least one image as input in a neural network, a gaze of the user. The gaze including coordinates at which the user is looking in relation to the client device. The neural network was trained based on machine generated images of a modeled human user looking at various coordinates. The computing device determines, based on the gaze of the user, an engagement score for the user. The engagement score indicates a level of engagement of the user with the first content item.
    Type: Grant
    Filed: April 16, 2018
    Date of Patent: April 14, 2020
    Assignee: Beseeq
    Inventors: Lisa C. Hammitt, Mark K. Hammitt, Rebecca E. Krauthamer, Patrick E. Rodriguez
  • CONTENT MANAGEMENT AND DELIVERY SYSTEM
    Publication number: 20180300751
    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for determining user engagement with a content item. A computing device accesses at least one image of eyes of a user that is captured while a client device is presenting a first content item on a display of the client device. The computing device determines, based on using the at least one image as input in a neural network, a gaze of the user. The gaze including coordinates at which the user is looking in relation to the client device. The neural network was trained based on machine generated images of a modeled human user looking at various coordinates. The computing device determines, based on the gaze of the user, an engagement score for the user. The engagement score indicates a level of engagement of the user with the first content item.
    Type: Application
    Filed: April 16, 2018
    Publication date: October 18, 2018
    Inventors: Lisa Hammitt, Mark K. Hammitt, Rebecca E. Krauthamer, Patrick E. Rodriguez