Dynamic Hologram Placement for Critical Scene Visibility
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Solution Overview
Problem
Conventional hologram placement techniques in extended reality systems fail to account for past and planned future conditions of objects in a scene, leading to obfuscation of important content and user frustration.
Innovation Solution
Intelligently reposition holograms based on past and future conditions of objects, using machine learning algorithms to consider factors such as past usage, planned future usage, object states, layout, safety, and dynamic spaces, ensuring holograms are placed in optimal locations that avoid obstructing essential objects and areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If holograms are placed in prominent locations to ensure visibility and accessibility, then user interaction is improved, but important objects in the scene may be obfuscated or blocked
Solution Approach 1:
The system dynamically repositions holograms based on real-time analysis of object locations, usage patterns, and spatial relationships. Holograms are not placed statically but continuously adjusted to maintain optimal visibility while avoiding obstruction of important objects in the scene.
Solution Approach 2:
The system incorporates feedback loops that monitor object usage, hologram visibility, and spatial relationships. Based on this feedback, the hologram placement algorithm iteratively adjusts positions to resolve conflicts between accessibility and obfuscation, ensuring important objects remain visible.
2Ease of manufacture
If holograms are placed based on current object positions only, then placement is simple, but holograms cannot adapt to past usage patterns or future planned actions
Solution Approach 1:
The system performs preliminary analysis of past usage patterns and predicted future actions to pre-position holograms in optimal locations before objects are actually interacted with. This anticipatory placement ensures holograms are ready for upcoming interactions without requiring real-time reaction.
Solution Approach 2:
The placement system transitions from static, current-position-only placement to dynamic placement that incorporates temporal dimensions. Hologram positions are determined by analyzing historical data and predicting future object locations and usage patterns, creating a time-aware adaptive system.
3Stability of the object's composition
If holograms are anchored to specific world locations, then spatial stability is improved, but holograms cannot adapt to user movement or changing field of view
Solution Approach 1:
The system implements dynamic hologram placement that adapts to user movement, device orientation, and changing fields of view. Holograms are not fixed to rigid world coordinates but are positioned relative to dynamic reference frames that track user interaction patterns and spatial context.
Solution Approach 2:
The system applies different placement strategies for different spatial contexts and user states. Hologram positioning is locally optimized based on the specific situation, such as adjusting positions based on user gaze direction, device orientation, or proximity to objects, rather than using a uniform global anchoring approach.
Data Source
AI summary
Techniques for intelligently repositioning a hologram for an object in a scene based on a past condition of the object and/or a planned future condition of the object are disclosed. A hologram is identified for an object in a scene. Identifying the hologram includes identifying a current location of the hologram within the scene. Time-based data associated with the object is accessed. The time-based data includes at least one of a past condition of the object or a planned future condition of the object. A new location for the hologram is selected within the scene. This selection is based on the time-based data. The hologram is then repositioned to the new location.