XR Recording System for Virtual Agent Perspective Debugging
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Solution Overview
Problem
Current methods for recording and playback of extended reality (XR) environments are insufficient for debugging program execution and graphical content playback, particularly when dealing with virtual agents (VAs) and XR content, as they do not provide detailed perspective recordings and layer control.
Innovation Solution
A system and method for recording and playback of XR environments that allow users to select and record from various perspectives, including those of virtual agents, and toggle layers such as video pass-through, occlusion, and sensory perceptions, enabling detailed debugging and content manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only video pass-through data and basic XR data are recorded, then recording complexity is reduced, but debugging capability for program execution and graphical content playback is insufficient
Solution Approach 1:
The recording system segments XR data into multiple distinct layers including video pass-through data, depth data, occlusion data, synthetic imagery, and sensor data. Each layer can be independently recorded, stored, and replayed, allowing developers to selectively analyze specific data components for debugging without overwhelming complexity.
Solution Approach 2:
The system adds temporal and selective dimensionality to recording by capturing data at multiple time points and allowing selective replay of specific layers and time segments. This enables developers to pause, rewind, and examine specific moments in the XR experience, transforming a simple linear recording into a multi-dimensional debugging tool.
2Reliability
If multiple data streams including depth data, occlusion data, and sensor data are recorded, then debugging capability is improved, but recording complexity increases
Solution Approach 1:
The recording system is designed as a universal platform that can capture multiple types of data streams (video, depth, occlusion, sensor data) simultaneously through a single integrated recording mechanism. This multi-functional approach consolidates what would otherwise require separate recording systems into one unified solution.
Solution Approach 2:
All necessary data streams are recorded and stored in advance during the XR experience execution. The system performs preliminary recording of comprehensive data including video pass-through data, depth data, occlusion data, synthetic imagery, and sensor data, making all this data available for later debugging analysis without requiring complex real-time processing during debugging sessions.
3Reliability
If comprehensive XR data including depth data, occlusion data, and sensory perception data are recorded and stored, then the ability to debug and analyze XR content is enhanced, but data storage requirements increase
Solution Approach 1:
The system allows selective storage and replay of specific data layers based on local quality requirements. Developers can choose to store and replay only the necessary data types for their specific debugging needs, such as storing high-fidelity video pass-through data while using lower-fidelity depth or occlusion data, optimizing storage allocation based on the specific debugging task.
Data Source
AI summary
In one implementation, a method for recording an XR environment. The method includes: presenting, via the display device, a graphical environment with one or more virtual agents, wherein the graphical environment corresponds to a composition of extended reality (XR) content, including the one or more virtual agents, and an image stream of a physical environment captured from a first point-of-view (POV) of the physical environment; detecting, via the one or more input devices, a user input selecting a first virtual agent from among the one or more virtual agents; and in response to detecting the user input, recording a plurality of data streams associated with the graphical environment including a first image stream of the graphical environment from the first POV and one or more data streams of the graphical environment from a current POV of the first virtual agent.