XR Source Localization Using Non-Imaging Intangible Attribute Sensing
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Solution Overview
Problem
XR systems, including AR/VR headsets, are limited in processing large amounts of complex data to convey meaningful information about the real world, restricting their applications and making it difficult to design commercially viable solutions.
Innovation Solution
The systems and methods process large amounts of complex data using non-imaging sensors to determine and display, in a virtual space, the locations and directions of concealed or unknown intangible attribute sources, such as recording and tracking devices, by generating a signal not visible to the human eye, through extended reality technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If XR systems use conventional imaging sensors and processing methods, then the system structure remains simple, but the system cannot process large amounts of complex data to convey meaningful information about the real world
Solution Approach 1:
The patent replaces conventional imaging sensors with non-imaging sensors (acoustic, electromagnetic, thermal, etc.) that detect different physical phenomena. This substitution enables the system to capture intangible attributes (sound waves, electromagnetic signals, thermal patterns) that are invisible to human eyes, thereby conveying more meaningful information about the real world without relying on traditional visual imaging mechanisms
Solution Approach 2:
The system changes the type of data being processed from visual image data to multiple types of intangible attribute data (acoustic properties, electromagnetic field strengths, thermal patterns). This parameter change allows the XR system to process complex multi-dimensional data sets that provide deeper insights into the real world, transforming the nature of information representation from visual to multi-sensory
2Loss of information
If XR systems process large amounts of complex data from non-imaging sensors, then meaningful information about the real world can be conveyed, but the device complexity increases
Solution Approach 1:
The patent segments the data processing task by separating the collection of intangible attribute data from the interpretation and visualization processes. Non-imaging sensors collect raw data from multiple physical domains, while the processor separately handles the complex task of correlating this data with spatial information and generating meaningful representations. This segmentation allows the system to manage complexity through modular functional decomposition
Solution Approach 2:
The system introduces an intermediary processing layer that acts as a mediator between the non-imaging sensors and the XR display system. This intermediary processor performs complex operations including data correlation, spatial mapping, and pattern recognition, transforming raw sensor data into meaningful information that can be effectively conveyed through the XR interface. This intermediary layer manages the complexity burden, preventing it from propagating through the entire system
3Difficulty of detecting and measuring
If conventional XR headsets are used without non-imaging sensors, then the device structure remains simple, but the system cannot detect or display locations of concealed or unknown intangible attribute sources
Solution Approach 1:
The patent integrates multiple types of non-imaging sensors (acoustic, electromagnetic, thermal) into the XR headset, enabling a single device to perform multiple detection functions. This multi-functionality allows the system to detect various types of intangible attribute sources (recording devices, tracking devices, thermal anomalies) using a unified platform, reducing the need for separate specialized devices while enhancing detection capabilities
Solution Approach 2:
The system embeds non-imaging sensors within the existing XR headset structure, nesting additional sensing capabilities inside the conventional headset form factor. The non-imaging sensors are integrated into the headset's housing or mounting structures, allowing them to be carried and operated together with the imaging sensors without requiring separate external equipment. This nesting approach manages device complexity by consolidating multiple sensing functions into a single integrated unit
Data Source
AI summary
Systems and methods for rendering a three-dimensional space scene, in a virtual space, that includes location of one or more sources of intangible attributes are described. An exemplar method includes: (i) obtaining an intangible attribute dataset; (ii) modifying the intangible attribute dataset to produce a source identifying dataset; (iii) identifying, based on the source identifying dataset and without using the image value dataset, one or more of different types of the intangible attribute sources that produce the intangible attributes present inside the real space, (iv) determining, based on the source identifying dataset and without using the imaging data, one or more locations and/or direction of locations of one or more of the intangible attribute sources; and (v) displaying and/or causing to display, in the virtual space defined inside a user interface of an AR/VR headset, one or more of the locations and/or direction of locations of one or more of the intangible attribute sources.