User Location Detection via Object Interaction Models
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Solution Overview
Problem
Existing systems require significant processing and power resources to determine user location in a physical environment, especially when using mixed reality headsets, as they need to construct maps using computationally-intensive techniques while tracking user location simultaneously.
Innovation Solution
The system determines user location within a physical environment by detecting interactions with objects using sensor data from image, motion, and audio sensors, leveraging an object relationship model to identify positional relationships and provide context-based content based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If computationally-intensive map construction techniques are used to determine user location, then location accuracy is improved, but processing power consumption increases
Solution Approach 1:
The patent extracts the essential information needed for location determination from the full environmental map by focusing on object interactions and relationships rather than processing the complete map data. This selective extraction approach maintains location accuracy while significantly reducing computational requirements.
Solution Approach 2:
The patent segments the location determination process into discrete object interaction detection steps rather than using a monolithic map construction approach. By breaking down the complex task into smaller, manageable interactions with individual objects, the system achieves accurate localization with lower processing power consumption.
2Measurement precision
If comprehensive environmental mapping is performed to track user location, then location tracking accuracy is improved, but processing resources increase
Solution Approach 1:
Instead of processing the entire environmental map uniformly, the patent applies local quality analysis by examining only the specific regions and objects relevant to current user interactions. This localized approach maintains tracking accuracy for the user's immediate surroundings while reducing overall processing resource consumption.
Solution Approach 2:
The patent employs partial action by processing only the necessary portion of environmental data required for location tracking, rather than comprehensively mapping the entire environment. This selective processing achieves sufficient accuracy for tracking purposes without the excessive computational resources required for full environmental mapping.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that determine a user location within a physical environment. For example, an example process may include obtaining an object relationship model representing positional relationships between objects of a set of objects within a physical environment. The process may further include obtaining sensor data of the physical environment. The process may further include detecting an interaction of a user with an object of the set of objects within the physical environment based on the sensor data. The process may further include determining a location of the user within the physical environment based on a location associated with the object in the physical environment.