Patents by Inventor Audrey Gina Chung

Audrey Gina Chung 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).

  • Patent number: 11074802
    Abstract: A method and apparatus for predicting hospital bed exit events from video camera systems is disclosed. The system processes video data with a deep convolutional neural network consisting of five main layers: a 1×1 3D convolutional layer used for generating feature maps from raw video data, a context-aware pooling layer used for rectifying data from different camera angles, two fully connected layers used for applying pre-trained deep features, and an output layer used to provide a likelihood of a bed exit event.
    Type: Grant
    Filed: January 30, 2018
    Date of Patent: July 27, 2021
    Assignee: Hill-Rom Services, Inc.
    Inventors: Alexander Sheung Lai Wong, Yongji Fu, Brendan James Chwyl, Audrey Gina Chung, Mohammad Javad Shafiee
  • Patent number: 10321856
    Abstract: A method for monitoring a patient in a bed may involve capturing images of the patient with multiple cameras in a vicinity of the bed, wirelessly transmitting the images of the patient from the multiple cameras to a processor including a memory device, processing the images to provide processed image data pertaining to a position of the patient relative to the bed to a user, and analyzing the processed image data to determine whether the patient is exiting the bed. The method may also optionally involve providing an alarm indicating that the patient is exiting the bed.
    Type: Grant
    Filed: January 10, 2018
    Date of Patent: June 18, 2019
    Assignee: Hill-Rom Services, Inc.
    Inventors: Yongji Fu, Ibne Soreefan, Alexander Sheung Lai Wong, Mohammad Javad Shafiee, Brendan James Chwyl, Audrey Gina Chung
  • Publication number: 20180218587
    Abstract: A method and apparatus for predicting hospital bed exit events from video camera systems is disclosed. The system processes video data with a deep convolutional neural network consisting of five main layers: a 1×1 3D convolutional layer used for generating feature maps from raw video data, a context-aware pooling layer used for rectifying data from different camera angles, two fully connected layers used for applying pre-trained deep features, and an output layer used to provide a likelihood of a bed exit event.
    Type: Application
    Filed: January 30, 2018
    Publication date: August 2, 2018
    Inventors: Alexander Sheung Lai WONG, Yongji FU, Brendan James CHWYL, Audrey Gina CHUNG, Mohammad Javad SHAFIEE
  • Publication number: 20180192923
    Abstract: A method for monitoring a patient in a bed may involve capturing images of the patient with multiple cameras in a vicinity of the bed, wirelessly transmitting the images of the patient from the multiple cameras to a processor including a memory device, processing the images to provide processed image data pertaining to a position of the patient relative to the bed to a user, and analyzing the processed image data to determine whether the patient is exiting the bed. The method may also optionally involve providing an alarm indicating that the patient is exiting the bed.
    Type: Application
    Filed: January 10, 2018
    Publication date: July 12, 2018
    Inventors: Yongji Fu, Ibne Soreefan, Alexander Sheung Lai Wong, Mohammad Javad Shafiee, Brendan James Chwyl, Audrey Gina Chung