Patents by Inventor Kirk Roerig

Kirk Roerig 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).

  • Systems and methods to determine room occupancy
    Patent number: 11428773
    Abstract: Systems and methods determine occupancy of a mobile device in a room based on one or more wireless signals measured by the mobile device. The mobile device receives and processes one or more wireless signals detectable in the room to generate a feature vector that is inputted to a classifier. The wireless signals may originate either in the room or out of the room. The feature vector contains wireless-signal characteristics measured by the mobile device (e.g., time-averaged power, Fourier coefficients) that are essentially unique to a room. The classifier, which may be an artificial neural network, predicts the occupancy of the mobile device in the room from the feature vector. Alternatively, the location of the mobile device in the room may be verified, wherein the feature vector may form a training example to train the classifier.
    Type: Grant
    Filed: January 17, 2019
    Date of Patent: August 30, 2022
    Assignee: Mersive Technologies, Inc.
    Inventors: Christopher Jaynes, Kirk Roerig, Vincent Ferreri
  • SYSTEMS AND METHODS TO DETERMINE ROOM OCCUPANCY
    Publication number: 20200348388
    Abstract: Systems and methods determine occupancy of a mobile device in a room based on one or more wireless signals measured by the mobile device. The mobile device receives and processes one or more wireless signals detectable in the room to generate a feature vector that is inputted to a classifier. The wireless signals may originate either in the room or out of the room. The feature vector contains wireless-signal characteristics measured by the mobile device (e.g., time-averaged power, Fourier coefficients) that are essentially unique to a room. The classifier, which may be an artificial neural network, predicts the occupancy of the mobile device in the room from the feature vector. Alternatively, the location of the mobile device in the room may be verified, wherein the feature vector may form a training example to train the classifier.
    Type: Application
    Filed: January 17, 2019
    Publication date: November 5, 2020
    Inventors: Christopher Jaynes, Kirk Roerig, Vincent Ferreri