Patents by Inventor KAREN BARBA MUNGUIA

KAREN BARBA MUNGUIA 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).

  • Machine learning model for predicting an action to be taken by an autistic individual
    Patent number: 11620552
    Abstract: Method and apparatus for predicting an action to be taken by a user of a mobile device, comprising: generating a machine learning (ML) model using historical training data comprising (a) output training data that includes a scheduled action on a calendar and (b) input training data comprising historical usage data of the mobile device by the user; receiving real-time usage data of the mobile device, the real-time usage data indicating at least one of (a) an emotional state of the user, wherein the emotional state is indicative of autism spectrum disorder, or (b) indicators of the environment of the user; and evaluating data comprising the real-time usage data of the mobile device using the ML model to output a suggested action to be performed by the user, wherein the suggested action mitigates a negative impact on the user of a symptom of the autism spectrum disorder.
    Type: Grant
    Filed: October 18, 2018
    Date of Patent: April 4, 2023
    Assignee: International Business Machines Corporation
    Inventors: Tomas Carlos Otano, Daniel Herrera Salgado, Ricardo Noyola Picazzo, Karen Barba Munguia, Jorge Luis Gonzalez Sanchez
  • MACHINE LEARNING MODEL FOR PREDICTING AN ACTION TO BE TAKEN BY AN AUTISTIC INDIVIDUAL
    Publication number: 20200125976
    Abstract: Method and apparatus for predicting an action to be taken by a user of a mobile device, comprising: generating a machine learning (ML) model using historical training data comprising (a) output training data that includes a scheduled action on a calendar and (b) input training data comprising historical usage data of the mobile device by the user; receiving real-time usage data of the mobile device, the real-time usage data indicating at least one of (a) an emotional state of the user, wherein the emotional state is indicative of autism spectrum disorder, or (b) indicators of the environment of the user; and evaluating data comprising the real-time usage data of the mobile device using the ML model to output a suggested action to be performed by the user, wherein the suggested action mitigates a negative impact on the user of a symptom of the autism spectrum disorder.
    Type: Application
    Filed: October 18, 2018
    Publication date: April 23, 2020
    Inventors: TOMAS CARLOS OTANO, DANIEL HERRERA SALGADO, RICARDO NOYOLA PICAZZO, KAREN BARBA MUNGUIA, JORGE LUIS GONZALEZ SANCHEZ