Patents by Inventor Sterling Wiggins

Sterling Wiggins 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: 11864896
    Abstract: Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.
    Type: Grant
    Filed: March 25, 2019
    Date of Patent: January 9, 2024
    Assignee: Aptima, Inc.
    Inventors: Kevin Durkee, Scott Pappada, Andres Ortiz, William DePriest, John Feeney, Alexandra Geyer, Seamus Sullivan, Sterling Wiggins
  • Publication number: 20190313959
    Abstract: Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.
    Type: Application
    Filed: March 25, 2019
    Publication date: October 17, 2019
    Applicant: Aptima, Inc.
    Inventors: Kevin Durkee, Scott Pappada, Andres Ortiz, William DePriest, John Feeney, Alexandra Geyer, Seamus Sullivan, Sterling Wiggins
  • Patent number: 10265008
    Abstract: Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.
    Type: Grant
    Filed: March 13, 2014
    Date of Patent: April 23, 2019
    Assignee: Aptima, Inc.
    Inventors: Kevin Durkee, Scott Pappada, Andres Ortiz, William DePriest, John Feeney, Alexandra Geyer, Seamus Sullivan, Sterling Wiggins
  • Publication number: 20160007899
    Abstract: Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.
    Type: Application
    Filed: March 13, 2014
    Publication date: January 14, 2016
    Applicant: Aptima, Inc.
    Inventors: Kevin Durkee, Scott Pappada, Andres Ortiz, William DePriest, John Feeney, Alexandra Geyer, Seamus Sullivan, Sterling Wiggins