AR Moment Recording via Inertial Positioning
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Solution Overview
Problem
Current technologies lack effective methods for recording, sharing, and monetizing multidimensional moments experienced by individuals, which are context-rich and multisensory, across various locations and orientations, without relying on external positioning signals.
Innovation Solution
A system and apparatus that utilize a handy device with a processor to record and share augmented reality moment files tagged to specific locations and orientations, allowing users to create, filter, and monetize moments via a network, using inertial measurement units and virtual/augmented reality standards, enabling moment recording and reading without external positioning signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external positioning signals are used to record moments, then location accuracy is improved, but system reliability deteriorates when external signals are unavailable
Solution Approach 1:
The patent introduces inertial measurement units (IMU) as intermediary devices that provide local positioning capability independent of external signals. The IMU measures acceleration, angular velocity, and magnetic field to calculate position and orientation changes, serving as a mediator between the need for location data and the absence of external positioning signals.
Solution Approach 2:
The system performs preliminary action by recording baseline position and orientation data before external signal loss occurs. The IMU continuously tracks position changes from a known starting point, allowing the system to maintain positioning functionality in advance of and during signal unavailability.
2Adaptability or versatility
If multiple sensors and processing units are added to enable moment recording without external signals, then system functionality is improved, but device complexity increases
Solution Approach 1:
The patent applies multi-functionality by integrating inertial measurement units that serve multiple purposes: tracking position, determining orientation, and providing data for both moment recording and navigation. The same sensor suite supports various operating modes (signal-available and signal-denied environments) without requiring separate dedicated systems.
Solution Approach 2:
The system merges the inertial measurement functionality with the existing moment recording system. The IMU data processing is integrated into the moment file creation workflow, combining positioning, orientation tracking, and media recording functions into a unified system that operates seamlessly across different signal conditions.
3Loss of information
If moment files include detailed contextual information (orientation, position, media), then information completeness is improved, but data processing requirements increase
Solution Approach 1:
The patent extracts only the essential contextual parameters needed for moment identification and retrieval: position coordinates, orientation angles, and timestamp. Non-essential detailed sensor data is excluded from the moment file, retaining only the minimum information required to locate and contextualize the recorded media.
Solution Approach 2:
The moment file structure is segmented into distinct components: core metadata (position, orientation, time), media content, and optional descriptive text. This segmentation allows the system to process and store essential spatial-temporal information separately from media files, reducing the processing burden on any single component.
Data Source
AI summary
A handy for recording filterable content includes a pose system with absolute and relative position sensors for determining a position and orientation of the handy. The handy may refine the determined pose by resolving position ambiguities between the absolute and relative position sensors. Augmented reality moment files represented by augmented reality icons may be recorded and read by the handy based on the pose associated with the file, the current pose of a reading handy and filtering on both the recorder and reader sides. Icon-assessable moment files may include recorded media and other content; moment files may expire after a particular timespan or drift, whereby the location or orientation associated with the augmented reality moment file may update.