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US Patent 11775909 Monitoring operator condition using sensor data

Patent 11775909 was granted and assigned to Caterpillar Inc. on October, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Caterpillar Inc.
Caterpillar Inc.
Current Assignee
Caterpillar Inc.
Caterpillar Inc.
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11775909
Patent Inventor Names
Daniel J. Reaume
Kyle J. Cline
Michael E. Sharov
Date of Patent
October 3, 2023
Patent Application Number
17219801
Date Filed
March 31, 2021
Patent Citations
‌
US Patent 11347205 Methods and systems for network-sensitive data collection and process assessment in an industrial environment
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US Patent 7218974 Industrial process data acquisition and analysis
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US Patent 11295400 Automated supervision of construction operations in an intelligent workspace
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US Patent 11436484 Training, testing, and verifying autonomous machines using simulated environments
Patent Primary Examiner
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Dylan C White
CPC Code
‌
G06N 20/00
‌
G01M 99/005
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G06Q 10/0639
Patent abstract

Systems and methods for monitoring an operator of an asset are described herein. The method includes receiving training data, the training data comprising training sensor data associated with one or more tasks performed by a plurality of operators of different skill levels and under different performance impairments. The method can also include training a machine learning model to recognize one or more operator conditions based on the received training data and receiving sensor data from a plurality of sensors associated with the asset or the operator. The method can further include determining an operator condition of the operator based on the received sensor data and the machine learning model and taking one or more actions in response to the determined operator condition.

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