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METHOD AND SYSTEM FOR TRACKING PHYSICAL METRICS IN AN ELECTRONIC NETWORKING SYSTEM

  • US 20170106239A1
  • Filed: 12/22/2016
  • Published: 04/20/2017
  • Est. Priority Date: 12/05/2007
  • Status: Abandoned Application
First Claim
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1. A system for relating three or more parties including one or more users, one or more sponsors, and one or more charities, the system comprising:

  • a server computer in communication with a network and a database; and

    instructions stored on the server computer, the instructions when executed by the server computer configuring the server computer to perform;

    receiving activity data from one of a user device or a software application, wherein the activity data includes data related to one or more of a physical activity, a health and wellness activity, and a socially beneficial action, wherein the socially beneficial action comprises an action or activity that benefits one or more parties or the environment;

    receiving sponsor data comprising data related to a reward value and a sponsor account;

    converting the activity data into a convertible value comprising the reward value and a charitable donation value, wherein the charitable donation value comprises one or more of currency, goods, and services, and wherein the convertible value is calculated by using a sliding scale of values associated with one or more of activity difficulty values based on the activity type and duration of the activity, data validation processes, feedback from users or sponsors, and a normalization table;

    storing the activity data and the convertible value;

    providing for redemption of the reward value in one or more of a social networking environment and a market; and

    transferring currency matching the charitable donation value from a sponsor account to a charity account, andwherein the activity data is configured to be automatically and manually entered into either the user device or the software application and the convertible value is higher for automatically entered activity data than for manually entered activity data.

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