AR Media Generation via Sensor Data Filtering
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Solution Overview
Problem
Existing augmented reality (AR) media systems often overwhelm viewers with excessive data during live events, such as sports broadcasts, detracting from the immersive experience by providing too much automated information.
Innovation Solution
A method and system that acquire live footage and sensor data from events, extract analytical statistics through content analysis, filter relevant data based on user preferences and historical events, and generate computer-generated content to create personalized AR media synchronized with immersive displays, enhancing the viewing experience without overwhelming the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If automated information is provided during live events, then data completeness is improved, but viewer distraction increases
Solution Approach 1:
The system extracts and separates relevant data from the complete dataset, presenting only selected information to the viewer. The filtering module identifies and removes irrelevant data points, keeping only those that provide genuine value while eliminating distraction-causing elements.
Solution Approach 2:
The system applies different quality levels of data presentation to different aspects of the event. Critical real-time data receives high prominence and detailed presentation, while less important data is minimized or omitted, creating a differentiated information hierarchy that reduces overall distraction.
2Loss of information
If comprehensive data is presented, then information value is improved, but user engagement deteriorates
Solution Approach 1:
The comprehensive dataset is segmented into distinct categories and priority levels. The system divides information into essential real-time data, contextual historical data, and supplementary details, presenting only the essential portions during live viewing to maintain engagement while preserving access to complete information on demand.
Solution Approach 2:
The system implements partial action by selectively presenting only the necessary portion of available data during live events. Rather than overwhelming users with all possible information, it provides just enough contextual and analytical data to enhance understanding without compromising viewing enjoyment.
3Speed
If real-time analytics are generated, then responsiveness is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and categorizing data during the acquisition phase. Analytics frameworks and filtering rules are pre-configured based on event types and user profiles, enabling rapid real-time analysis without complex computational overhead during live event processing.
Solution Approach 2:
The analytics system serves itself through automated data classification and priority assignment. The filtering module autonomously identifies relevant versus irrelevant data points using pre-established criteria, eliminating the need for manual intervention or complex real-time decision-making algorithms.
Data Source
AI summary
In one example, a method performed by a processing system in a telecommunications network includes acquiring live footage of an event, acquiring sensor data related to the event, wherein the sensor data is collected by a sensor positioned in a location at which the event occurs, extracting an analytical statistic related to a target participating in the event, wherein the extracting is based on content analysis of the live footage and the sensor data, filtering data relating to the target based on the analytical statistic to identify content of interest in the data, wherein the data comprises the live footage, the sensor data, and data relating to historical events that are similar to the event, and generating computer-generated content to present the content of interest, wherein when the computer-generated content is synchronized with the live footage on an immersive display, an augmented reality media is produced.


