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Autonomous personalized golf recommendation and analysis environment

  • US 10,682,562 B2
  • Filed: 01/16/2018
  • Issued: 06/16/2020
  • Est. Priority Date: 01/17/2017
  • Status: Active Grant
First Claim
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1. A method of autonomously generating personalized recommendations for a user before, during, or after a round of golf, the method comprising:

  • receiving an input from a user associated with a round of golf;

    retrieving at least one of course data, environmental data, user data, or equipment data from at least one of one or more sensors or one or more data sources;

    autonomously generating a recommendation or analysis for the user based on the course data, the environment data, the user data, or the equipment data in response to executing of one or more machine learning algorithms that consume the course data, the environmental data, the user data, and the equipment data; and

    outputting the recommendation or analysis to the user.

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