Gesture-Controlled Content Fusion via Edge Compute
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Solution Overview
Problem
Current content delivery and user interface technologies lack the ability to provide a truly interactive and hands-free experience, especially in consuming and interacting with media from various sources, as users are typically tied to specific devices and require remote controls or touch screens, lacking real-time consumer-initiated content insertion or customization.
Innovation Solution
A system and method that utilizes a local compute platform, micro-edge compute platform, and macro-edge compute platform to aggregate user gesture inputs and control functions, enabling a 'device-less' user interface with gesture-based detection and recognition, and voice-based recognition for interactive stream control, leveraging low-latency 5G NR transport to facilitate real-time user interaction and content fusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional remote controls or touch screens are used for content interaction, then users can control content delivery, but users are tied to specific devices and cannot interact hands-free
Solution Approach 1:
The patent replaces mechanical control interfaces (remote controls, touch screens) with voice-based recognition and gesture detection systems. The voice commands and gestures are captured through microphones and sensors, processed by machine learning models, and translated into control signals for content delivery, eliminating the need for physical interaction devices.
Solution Approach 2:
The patent introduces an intermediary processing layer between the user and the content delivery system. This intermediary includes voice recognition software, gesture detection algorithms, and machine learning models that interpret user intentions and convert them into control commands, enabling hands-free operation without direct device dependency.
2Adaptability or versatility
If multiple content streams are aggregated from various sources, then content variety and customization are enhanced, but system complexity and data processing requirements increase
Solution Approach 1:
The patent segments the content aggregation system into modular components: content sources module, stream processing module, fusion engine, and delivery module. Each component handles specific tasks independently, allowing the system to manage multiple content streams from diverse sources without overwhelming complexity. The segmentation enables parallel processing and independent optimization of each module.
Solution Approach 2:
The patent implements a universal content fusion engine that can process and integrate multiple types of content streams (video, audio, data) from various sources using a single integrated architecture. This multi-functional engine applies consistent processing rules and fusion algorithms regardless of the content source or type, simplifying the system design while maintaining high adaptability.
3Ease of operation
If real-time user input and control are enabled through gesture and voice recognition, then user interactivity is improved, but latency and processing time may increase
Solution Approach 1:
The patent implements preliminary action by pre-training machine learning models for voice and gesture recognition, pre-processing content streams for faster fusion, and pre-establishing delivery pathways. When user input is received, the system can quickly match it against pre-processed patterns and routes, significantly reducing real-time processing latency while maintaining high interactivity.
Solution Approach 2:
The patent employs optimized processing pipelines that skip unnecessary intermediate steps in the control signal path. Voice and gesture commands are directly converted into control actions through streamlined algorithms, bypassing traditional multi-layer processing protocols. This rushing through the processing chain minimizes latency while preserving accurate real-time control.
Data Source
AI summary
Apparatus and methods for providing an aggregated and interactive content service over a network. In one embodiment, extant high-bandwidth capabilities of a managed network are leveraged for delivering content downstream to network users or subscribers, and standards-compliant ultra-low latency and high data rate services (e.g., 5G NR based) are leveraged for (i) uploading content, and (ii) enabling interaction with the content based on user input. In one embodiment, the exemplary apparatus and methods are implemented to aggregate content from various third-party sources at a managed content delivery network (CDN) and deliver it as a combined or fused single stream (versus multiple distinct content streams), and allow interaction with the aggregated content stream via the low-latency connection to the aggregation processing entity. Additional enhancements enable user participation individually, or with other subscribers, in live or recorded content-based activities (such as via gesture recognition and learned “skills”).