Patents by Inventor Jeffrey Beaubien

Jeffrey Beaubien 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).

  • Simulation based training system for measurement of cognitive load to automatically customize simulation content
    Patent number: 11532241
    Abstract: In one example embodiment of the invention, a simulation based training system is provided having a sensor that unobtrusively collects objective data for individuals and teams experiencing training content to determine the cognitive states of individuals and teams; time-synchronizes the various data streams; automatically determines granular and objective measures for individual cognitive load (CL) of individuals and teams; and automatically determines a cognitive load balance (CLB) and a relative cognitive load (RCL) measure in real or near-real time. Data is unobtrusively gathered through physiological or other activity sensors such as electroencephalogram (EEG) and electrocardiogram (ECG) sensors. Some embodiments are further configured to also include sociometric data in the determining cognitive load. Sociometric data may be obtained through the use of sociometric badges.
    Type: Grant
    Filed: September 17, 2020
    Date of Patent: December 20, 2022
    Assignee: Aptima, Inc.
    Inventors: Jeffrey Beaubien, John Feeney, William N. DePriest, Scott Pappada
  • Simulation based training system for measurement of team cognitive load to automatically customize simulation content
    Patent number: 10783801
    Abstract: In one example embodiment of the invention, a simulation based training system is provided having a sensor that unobtrusively collects objective data for individuals and teams experiencing training content to determine the cognitive states of individuals and teams; time-synchronizes the various data streams; automatically determines granular and objective measures for individual cognitive load (CL) of individuals and teams; and automatically determines a cognitive load balance (CLB) and a relative cognitive load (RCL) measure in real or near-real time. Data is unobtrusively gathered through physiological or other activity sensors such as electroencephalogram (EEG) and electrocardiogram (ECG) sensors. Some embodiments are further configured to also include sociometric data in the determining cognitive load. Sociometric data may be obtained through the use of sociometric badges.
    Type: Grant
    Filed: December 21, 2017
    Date of Patent: September 22, 2020
    Assignee: Aptima, Inc.
    Inventors: Jeffrey Beaubien, John J. Feeney, William N. DePriest, Scott M. Pappada