Interaction Visualization Using RTLS Node-Edge Graphs
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Solution Overview
Problem
Conventional methods for reconstructing the prior movements and interactions of individuals, such as in a hospital setting, are incomplete and resource-intensive, failing to provide an accurate visualization of interactions due to gaps in documentation and limitations in tracking technologies like video cameras.
Innovation Solution
A method that receives interaction data for a target individual, determines whether interactions are direct or indirect using tracking methodologies like RTLS, and generates an interaction visualization using a node-and-edge graph to distinguish between interaction types, enhancing the ability to analyze care interactions and patient outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional documentation and tracking technologies (like video cameras) are used to reconstruct interactions, then some interaction information can be obtained, but the information is incomplete and resource-intensive
Solution Approach 1:
The system employs RTLS tags that serve multiple functions: tracking location, identifying individuals/objects, and recording interaction data. This multi-functional approach replaces multiple separate systems (video cameras, manual documentation, tracking devices) with a single integrated solution, reducing resource requirements while improving information completeness.
Solution Approach 2:
The patent replaces mechanical/video-based tracking systems with electronic RTLS technology. Instead of using video cameras to visually monitor and manually document interactions, the system uses electronic tags and processors to automatically detect and record interactions, significantly reducing resource consumption while enhancing data completeness.
2Measurement precision
If video cameras are used to track interactions, then visual records can be obtained, but the method has limitations in accuracy and completeness
Solution Approach 1:
The system changes the detection parameters from visual observation (video cameras) to electronic signal detection (RTLS tags). This parameter change enables precise measurement of proximity and interaction events through electronic means, improving accuracy while overcoming the adaptability limitations of video-based tracking.
Solution Approach 2:
The RTLS tag acts as an intermediary device that facilitates accurate interaction detection. Instead of directly observing interactions through video cameras, the system uses electronic tags as mediators to detect proximity and transmit interaction data to the processor, enhancing both accuracy and versatility.
3Loss of time
If manual reconstruction methods are used to trace movements and interactions, then some information can be gathered, but the process is time-consuming and incomplete
Solution Approach 1:
The system performs preliminary action by continuously tracking and recording interaction data in real-time as events occur. Instead of manually reconstructing interactions after the fact, the RTLS system proactively captures all interaction data during the actual events, eliminating time-consuming manual reconstruction while ensuring complete information capture.
Solution Approach 2:
The system implements feedback by continuously monitoring interaction events and automatically updating the interaction visualization. This real-time feedback mechanism ensures that interaction data is captured immediately as it occurs, eliminating delays associated with manual reconstruction and ensuring information completeness.
Data Source
AI summary
One embodiment provides a method comprising: receiving, at an input device of an information handling device, a selection to display interaction data associated with a target, wherein the interaction data corresponds to interactions between the target and at least one of an individual and an object; determining, using a processor, whether each of the interactions is associated with a direct interaction or an indirect interaction; and generating, based on the determining, an interaction visualization for the interactions. Other aspects are described and claimed.