Virtual Object Manifestation via Physical Proximity Detection
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Solution Overview
Problem
Current systems lack the ability to effectively manifest and manage virtual objects in virtual environments based on proximity to physical objects in real-time, failing to accurately respond to changes in proximity between physical objects and detectors.
Innovation Solution
A system utilizing hardware processors configured with machine-readable instructions to receive signals from physical object detectors, identify values associated with physical objects, and manifest or remove virtual objects in virtual environments accordingly, based on proximity and non-proximity conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a system manifests virtual objects in virtual environments based on proximity to physical objects, then user interaction and immersion are improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent introduces a processor as an intermediary component that mediates between physical object detectors and virtual environment output devices. The processor receives signals from detectors, determines proximity conditions, identifies corresponding virtual objects, and controls the manifestation of virtual objects in the virtual environment. This intermediary architecture manages system complexity by centralizing the decision-making logic for virtual object management.
Solution Approach 2:
The system implements feedback mechanisms where the processor continuously monitors proximity conditions between physical objects and detectors, and dynamically adjusts the manifestation of virtual objects accordingly. When proximity conditions change, the processor receives updated signals, re-evaluates the situation, and modifies the virtual object state (manifestation, change, or removal), creating a closed-loop control system that adapts to real-time physical environment changes.
2Speed
If the system responds in real-time to proximity changes between physical objects and detectors, then responsiveness and user experience are improved, but processing speed and computational load increase
Solution Approach 1:
The system employs periodic action by continuously monitoring proximity conditions through repeated signal reception from physical object detectors. The processor periodically evaluates proximity conditions and updates the virtual object state accordingly. This periodic monitoring approach enables real-time responsiveness while managing computational load by processing updates only when proximity conditions change, rather than continuously recalculating all virtual object parameters.
Solution Approach 2:
The system applies preliminary action by pre-establishing the correspondence between physical objects and virtual objects before runtime. The processor is configured with predetermined associations between physical object identifiers and virtual object identifiers, allowing for rapid lookup and decision-making when proximity conditions are detected. This pre-processing reduces computational load during real-time operation by eliminating the need for complex matching algorithms during runtime.
3Measurement precision
If the system accurately tracks and responds to proximity conditions, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The processor is designed as a universal component that performs multiple functions: receiving signals from various types of physical object detectors, determining proximity conditions, identifying virtual objects, and controlling virtual environment output devices. This multi-functional approach improves measurement precision by using a unified detection and control architecture while managing device complexity through component consolidation and standardized interfaces.
Data Source
AI summary
Systems, methods, and storage media for manifesting a virtual object in a virtual environment are disclosed. Exemplary embodiments may: receive, at a first physical object detector, a first signal, from a first physical object-associated element in a first physical environment; identify, at a first value identification module, based on the first signal, a first value associated with the first signal; identify, at a first virtual object identification module, based on the first value, a first virtual object; and manifest, at a first virtual environment output device, a first manifestation of the first virtual object in a first manifestation of the first virtual environment.