Performance data mining based on real time analysis of sensor data
Originating portfolio: ALU
Estimated expiration: 2025-Apr-27
Potentially relevant companies (2): Hewlett Packard Enterprise, Honeywell International, Inc.
Products & technologies (4): Connected Cars, IoT - Internet of Things, Security:Systems, Smart (connected) Homes
A performance data mining system combines detailed sensor analysis data with other data sources to discover interesting patterns/rules for performance and utilizes real time sensor analysis to dynamically derive mining results in real time during an event. The system automatically generates advice/strategy and predictions based on specified criteria.
1. A processor implemented method of processing data associated with an event, the method comprising the steps of: maintaining data associated with the event, the data at least comprising sensor data captured in accordance with the event and analyzed, wherein the sensor data comprises motion data of one or more objects or one or more people associated with the event; and discovering that one or more attributes of the one or more objects or the one or more people are associated with an outcome of the event based on at least a portion of the captured and analyzed sensor data, and based on at least one user-specified criterion, wherein the one or more attributes are not predetermined to be associated with the outcome of the event, and wherein the one or more attributes relate to one or more measures of performance, style or strategy associated with an aspect of the event; and in response to user input, at least one of retrieving and presenting data corresponding to at least a portion of the one or more attributes.
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