View source for 20240082704.GAME EVENT RECOGNITION simplified abstract (nvidia corporation)

=GAME EVENT RECOGNITION=


==Organization Name==

[[:Category:nvidia corporation|nvidia corporation]]


[[Category:nvidia corporation]]

==Inventor(s)==

[[:Category:Jonathan White of Fort Collins CO (US)|Jonathan White of Fort Collins CO (US)]][[Category:Jonathan White of Fort Collins CO (US)]]

[[:Category:Dave Clark of Cary NC (US)|Dave Clark of Cary NC (US)]][[Category:Dave Clark of Cary NC (US)]]

[[:Category:Nathan Otterness of Mebane NC (US)|Nathan Otterness of Mebane NC (US)]][[Category:Nathan Otterness of Mebane NC (US)]]

[[:Category:Travis Muhlestein of Redmond WA (US)|Travis Muhlestein of Redmond WA (US)]][[Category:Travis Muhlestein of Redmond WA (US)]]

[[:Category:Prabindh Sundareson of Bangalore (IN)|Prabindh Sundareson of Bangalore (IN)]][[Category:Prabindh Sundareson of Bangalore (IN)]]

[[:Category:Jim Van Welzen of Sandy UT (US)|Jim Van Welzen of Sandy UT (US)]][[Category:Jim Van Welzen of Sandy UT (US)]]

[[:Category:Jack Van Welzen of Raleigh NC (US)|Jack Van Welzen of Raleigh NC (US)]][[Category:Jack Van Welzen of Raleigh NC (US)]]

==GAME EVENT RECOGNITION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240082704 titled 'GAME EVENT RECOGNITION

==Simplified Explanation==

An event detector for game sessions is described in the patent application, allowing for automatic identification of game events using game-specific configuration data. The detected events are then logged in a human- and process-readable format for various purposes such as generating highlight videos or providing player performance feedback.

* Game-agnostic event detector for automatically identifying game events
* Game-specific configuration data used to specify pre-processing and detection methods
* Event data logged in a human- and process-readable format for analysis and feedback purposes

== Potential Applications ==
The technology can be applied in the gaming industry for enhancing player experience, creating highlight reels, and improving player performance analysis.

== Problems Solved ==
The technology solves the problem of manual event detection in games, streamlining the process and enabling automated analysis for various purposes.

== Benefits ==
The benefits of this technology include increased efficiency in event detection, improved player feedback, and enhanced gameplay experiences for users.

== Potential Commercial Applications ==
Potential commercial applications include game development studios, esports organizations, and streaming platforms looking to enhance their offerings with automated event detection and analysis capabilities.

== Possible Prior Art ==
One possible prior art could be existing game analytics tools that provide some level of event detection and analysis, but may not offer the same level of automation and customization as described in this patent application.

== Unanswered Questions ==
1. How does the event detector handle different types of games with varying event structures?
2. What kind of pre-processing techniques are specified in the game-specific configuration data?


==Original Abstract Submitted==

a game-agnostic event detector can be used to automatically identify game events. game-specific configuration data can be used to specify types of pre-processing to be performed on media for a game session, as well as types of detectors to be used to detect events for the game. event data for detected events can be written to an event log in a form that is both human- and process-readable. the event data can be used for various purposes, such as to generate highlight videos or provide player performance feedback.



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