Machine learning system for predicting optimal interruptions based on biometric data collected using wearable devices

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United States of America Patent

PATENT NO 11157832
APP PUB NO 20190188604A1
SERIAL NO

15846570

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Abstract

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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.

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Patent Owner(s)

  • INTERNATIONAL BUSINESS MACHINE CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Ghosh, Sujan Sarathi Bangalore, IN 1 5
Kundu, Amitava Bangalore, IN 25 260
Singh, Abhijit Bangalore, IN 6 5

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