Patents by Inventor Faisal Ahmed VALLI

Faisal Ahmed VALLI 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).

  • Utilizing a machine learning model to identify activities and deviations from the activities by an individual
    Patent number: 10916344
    Abstract: A device receives historical information associated with an individual to be monitored, wherein the historical information includes at least one of information associated with a health history of the individual, health histories of other individuals, activities of the individual, or activities of the other individuals. The device receives monitored information associated with the individual from one or more client devices associated with the individual, and pre-processes the monitored information to generate pre-processed monitored information that is understood by the trained machine learning model. The device processes the pre-processed monitored information, with a trained machine learning model, to identify one or more activities of the individual and one or more deviations from the one or more activities by the individual, and performs one or more actions based on the one or more activities of the individual and/or the one or more deviations from the one or more activities.
    Type: Grant
    Filed: November 14, 2018
    Date of Patent: February 9, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Laetitia Cailleteau Eriksson, Kar Lok Chan, Faisal Ahmed Valli, Christopher Paul Ashley
  • UTILIZING A MACHINE LEARNING MODEL TO IDENTIFY ACTIVITIES AND DEVIATIONS FROM THE ACTIVITIES BY AN INDIVIDUAL
    Publication number: 20190156944
    Abstract: A device receives historical information associated with an individual to be monitored, wherein the historical information includes at least one of information associated with a health history of the individual, health histories of other individuals, activities of the individual, or activities of the other individuals. The device receives monitored information associated with the individual from one or more client devices associated with the individual, and pre-processes the monitored information to generate pre-processed monitored information that is understood by the trained machine learning model. The device processes the pre-processed monitored information, with a trained machine learning model, to identify one or more activities of the individual and one or more deviations from the one or more activities by the individual, and performs one or more actions based on the one or more activities of the individual and/or the one or more deviations from the one or more activities.
    Type: Application
    Filed: November 14, 2018
    Publication date: May 23, 2019
    Inventors: Laetitia Cailleteau ERIKSSON, Kar Lok CHAN, Faisal Ahmed VALLI, Christopher Paul ASHLEY