Spatial Data Visualization for Augmented Reality Analytics
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Solution Overview
Problem
The processing of spatial data in augmented reality experiences is extremely time-intensive due to the complexity of multidimensional data from multiple sensors, hindering efficient analysis and visualization.
Innovation Solution
A system and method for spatial data visualization that includes a path bundle processing module to normalize and aggregate data from multiple sources, an analytics module to perform computations and identify spatial patterns, and a visualization module to generate heatmaps and trajectory paths, enabling efficient analysis and user interaction tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spatial data from multiple sensors is processed in detail for augmented reality experiences, then analytical capabilities and visualization quality are improved, but processing time increases significantly
Solution Approach 1:
The patent segments spatial data processing into distinct modules: a path bundle processing module that normalizes and aggregates data from multiple sensors, an analytics module that performs computations and identifies spatial patterns, and a visualization module that generates heatmaps and trajectory paths. This segmentation allows each module to handle specific tasks efficiently, reducing overall processing time while maintaining analytical precision.
Solution Approach 2:
The path bundle processing module performs preliminary normalization and aggregation of spatial data from multiple sensors before the data reaches the analytics module. By pre-processing the data to consolidate and standardize it, the system reduces the computational burden on subsequent modules, thereby decreasing processing time without compromising the quality of analysis.
2Measurement precision
If multidimensional spatial data from multiple sensors is collected and processed, then analytical depth and user interaction tracking are improved, but system complexity increases
Solution Approach 1:
The analytics module is designed to perform multiple functions: it conducts analytics computations, identifies spatial patterns, and generates visualizations. This multi-functional approach consolidates what would otherwise require separate systems, maintaining analytical depth while managing system complexity through functional integration.
Solution Approach 2:
The path bundle processing module acts as an intermediary between the multiple sensors and the analytics module. It normalizes and aggregates data from diverse sensor sources into a standardized format, simplifying the interface that the analytics module must handle and reducing the apparent complexity of processing multidimensional spatial data.
3Productivity
If real-time analytics and visualization are implemented, then user interaction analysis quality is improved, but computational resources required increase
Solution Approach 1:
The system performs preliminary aggregation and normalization of spatial data before detailed analytics are conducted. By pre-consolidating the data into path bundles with standardized formats, the computational resources required for real-time analytics are reduced, as the analytics module receives pre-processed data that requires less intensive computation.
Solution Approach 2:
The visualization process is segmented into distinct stages: data aggregation, pattern identification, and visualization generation. This segmentation allows computational resources to be distributed across different tasks over time, enabling real-time user interaction analysis without requiring all computational resources to be simultaneously engaged at maximum capacity.
Data Source
AI summary
A system and method for spatial data visualization are described. An analytics computation of users' interactions with an augmented reality content is performed based on a physical object captured by a viewing device. The analytics computation comprises a computation of geometric paths of the users' interactions with the augmented reality content. A display of a visualization of the analytics computation is displayed based on the computation of the geometric paths of the users' interactions with the augmented reality content.