Virtual World Sensor Metadata Encoding for Low-Bandwidth Interaction
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Solution Overview
Problem
Current methods for interacting between the real and virtual worlds are limited in effectively encoding and applying sensor data from the real world to virtual environments, leading to suboptimal user experiences in immersive gaming and simulation applications.
Innovation Solution
A virtual world processing apparatus and method that encodes sensor capability and real-world data into metadata, using adaptation units to convert and apply this information to virtual worlds, enabling seamless interaction by generating and encoding relevant data for virtual environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sensor data from the real world is directly reflected to the virtual world without encoding into metadata, then the interaction simplicity is improved, but the adaptability and precision of applying real-world information to virtual environments deteriorates
Solution Approach 1:
The patent introduces metadata as an intermediary layer between sensor data and virtual world application. The adaptation RV unit generates metadata that describes real-world information in a standardized format, enabling seamless integration without direct complex mappings. This mediator structure maintains interaction simplicity while improving adaptability.
Solution Approach 2:
The patent transforms sensor data into metadata by changing its parameter representation format. Instead of using raw sensor values directly, the system encodes them into structured metadata with standardized parameters, enabling better adaptability across different virtual world applications while maintaining ease of use through automated transformation.
2Measurement precision
If detailed sensor capability information is encoded into metadata, then the measurement precision and adaptability are improved, but the device complexity and processing overhead increase
Solution Approach 1:
The patent segments the metadata generation process into distinct functional units: the adaptation RV unit that generates metadata based on sensor capability and virtual world information, and separate encoding components. This segmentation allows detailed precision encoding while managing complexity through modular architecture.
Solution Approach 2:
The patent creates a universal metadata structure that can represent various sensor capabilities and virtual world parameters in a unified format. This multi-functional metadata system handles different sensor types and application scenarios through a single standardized framework, improving precision without proportionally increasing complexity.
3Reliability
If real-world sensor data is accurately mapped to virtual world parameters, then the realism of virtual experience is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by pre-defining metadata structures and adaptation rules before actual sensor data processing. The adaptation RV unit is pre-configured with knowledge of both sensor capabilities and virtual world parameter requirements, enabling rapid real-time mapping without extensive computational overhead during actual operation.
Solution Approach 2:
The patent creates simplified copies of real-world sensor data in the form of metadata that captures essential characteristics without replicating all raw data details. This metadata copying approach maintains realism by preserving key sensor information while reducing processing requirements through selective abstraction.
Data Source
AI summary
A virtual world processing apparatus and method. Information on sensor capability is converted to binary data and then transmitted, or converted to eXtensible Markup Language (XML) data, or the XML data is further converted to binary data and then transmitted. Accordingly, data transmission rate may be increased and a low bandwidth may be used. In a data-receiving adaptation real world to virtual world (RV) engine, complexity of the adaptation RV engine may be reduced by omitting an XML parser.