Patents by Inventor Sujan Sarathi GHOSH

Sujan Sarathi GHOSH 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 system for predicting optimal interruptions based on biometric data collected using wearable devices
    Patent number: 11157832
    Abstract: Method and apparatus for using machine learning to monitor biometric data to provide intelligent alerts are provided. At a first moment in time, first biometric data for a plurality of users are received from a plurality of sensor devices. A group metric is generated by processing the first biometric data using at least one trained machine learning model, and it is determined that the group metric does not satisfy one or more predefined criteria. At a second moment in time, second biometric data for the plurality of users is received from the plurality of sensor devices, and an updated group metric is generated by processing the second biometric data using the at least one trained machine learning model. Upon determining that the updated group metric satisfies the one or more predefined criteria, an indication is provided that the one or more predefined criteria have been satisfied.
    Type: Grant
    Filed: December 19, 2017
    Date of Patent: October 26, 2021
    Assignee: International Business Machines Corporation
    Inventors: Amitava Kundu, Sujan Sarathi Ghosh, Abhijit Singh
  • MACHINE LEARNING SYSTEM FOR PREDICTING OPTIMAL INTERRUPTIONS BASED ON BIOMETRIC DATA COLLLECTED USING WEARABLE DEVICES
    Publication number: 20190188604
    Abstract: Method and apparatus for using machine learning to monitor biometric data to provide intelligent alerts are provided. At a first moment in time, first biometric data for a plurality of users are received from a plurality of sensor devices. A group metric is generated by processing the first biometric data using at least one trained machine learning model, and it is determined that the group metric does not satisfy one or more predefined criteria. At a second moment in time, second biometric data for the plurality of users is received from the plurality of sensor devices, and an updated group metric is generated by processing the second biometric data using the at least one trained machine learning model. Upon determining that the updated group metric satisfies the one or more predefined criteria, an indication is provided that the one or more predefined criteria have been satisfied.
    Type: Application
    Filed: December 19, 2017
    Publication date: June 20, 2019
    Inventors: Amitava AMITAVA, Sujan Sarathi GHOSH, Abhijit SINGH