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Operating a sensor recording marketplace

  • US 10,296,937 B2
  • Filed: 06/29/2009
  • Issued: 05/21/2019
  • Est. Priority Date: 06/29/2009
  • Status: Active Grant
First Claim
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1. A method for matching users with experts in response to a recording of a series of events by the user, the method comprising:

  • receiving from a user, by one or more computers, a kinesthetic sensor recording comprising performance motion information of the user recorded by the user that pertains to the series of events and a respective sensor recording model, the sensor recording model comprises meta-information about the kinesthetic sensor recording, and terms-of-use associated with the kinesthetic sensor recording, wherein the sensor recording model comprises a requested action of a user-generated sensor recording request;

    registering the kinesthetic sensor recording and the respective sensor recording model in the sensor recording marketplace, wherein the sensor recording marketplace, operated as a network, matches the kinesthetic sensor recording by the user to at least one expert;

    matching, by the one or more computers, the respective sensor recording model to at least one expert by using the meta information in the sensor recording model to associate the series of events to the product or service of the expert;

    sending the kinesthetic sensor recording to the expert the expert then providing analysis and direction without being physically with the user;

    providing, in the sensor recording marketplace, facilities, including at least a public directory and a series of specific syntax rules, that enable one user to select, experience, and optionally purchase kinesthetic sensor recordings made by another user, wherein the specific syntax rules facilitate expressing characteristics of the kinesthetic sensor recordings, and wherein the characteristics include input sensor type and one or more kinesthetic sensor recording objectives, values, goals, or offers;

    evaluating a particular kinesthetic sensor recording to generate a confidence score that indicates a likelihood of one or more users selecting the particular kinesthetic sensor recording, wherein a confidence evaluation includes comparing historical records, current sensor sources, and current user data sources, andfor every recording offered through the sensor recording marketplace, ranking each user according to their likelihood to purchase the recording.

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