Interactive Spatial Motion Visualization for E-Forensics
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Solution Overview
Problem
Conventional data visualization techniques become cluttered and difficult to understand when dealing with multiple moving objects and their routes over time, especially in complex scenarios, failing to clearly depict contemporaneous locations and relationships between subjects.
Innovation Solution
An interactive chart system with a graphical slider is implemented, allowing users to navigate through time and visualize the routes and locations of multiple subjects, with graphical indicators showing contemporaneous positions and time extents of location data, enabling clear visualization of overlapping locations and relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional map visualization is used to display multiple moving objects and their routes, then location data can be shown, but the map becomes overcrowded with lines, points, and other data making it difficult to understand
Solution Approach 1:
The patent segments the temporal dimension by dividing the time series data into discrete time points that can be independently selected and visualized. This allows the system to present multiple routes at specific moments without overwhelming the viewer with continuous temporal data, effectively segmenting the complex visualization into manageable temporal slices.
Solution Approach 2:
The patent introduces a temporal dimension to the traditional spatial map visualization. By adding time as a selectable dimension with time point indicators, the system transforms a two-dimensional spatial display into a multi-dimensional visualization that can be navigated through time, allowing users to focus on specific temporal moments rather than being overwhelmed by all data simultaneously.
2Loss of information
If traditional temporal-spatial visualizations are used to incorporate time element, then time information can be displayed, but the visualization becomes confusing and difficult to understand
Solution Approach 1:
The patent applies local quality by providing different visual treatments for different temporal contexts. Specific time points of interest are highlighted with distinct indicators, while other time periods are presented in a more subdued manner. This allows the visualization to maintain temporal completeness while guiding user attention to locally important temporal moments, improving understandability without losing time information.
Solution Approach 2:
The patent uses color changes and visual emphasis to differentiate important time points from regular time points. By applying distinct visual properties (such as color, size, or highlighting) to specific time point indicators, the system maintains complete temporal information while making the visualization easier to understand by drawing attention to temporally significant moments.
3Quantity of substance
If multiple routes of multiple moving objects are displayed simultaneously, then comprehensive location data can be visualized, but the conventional map becomes overcrowded
Solution Approach 1:
The patent implements dynamics by allowing users to interactively select and change time points of interest. The visualization dynamically updates to show the positions of multiple moving objects at the selected time point, enabling users to explore contemporaneous locations across different time moments. This dynamic approach maintains clarity by focusing on specific temporal slices rather than displaying all temporal data simultaneously.
Data Source
AI summary
Location information for a plurality of target subjects can be depicted as a plurality of routes with indications of respective contemporaneous locations of the target subjects at a point in time. A graphical slider can be used to update the visualization to depict contemporaneous locations of the target subjects at a different point in time. A point on one of the routes can be activated to update the visualization to depict contemporaneous locations of the target subjects at a different point in time. Metrics for characteristics of the location data can be displayed proximate the slider. Other features provide a user interface that allows for a rich set of visualization functionality.