XR Interaction Visualization for Medical Device Design
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Solution Overview
Problem
Conventional product development of technical devices, especially medical devices, lacks the ability to effectively visualize interactions between hardware and software before the first real system is developed, leading to delays and challenges in data collection and realism.
Innovation Solution
A method for visualizing interactions in an extended reality (XR) scene using a computing device, which receives a dataset representing an XR scene with a technical device, displays it on an XR headset, and detects optical sensor data of a user interacting with the scene, fusing these datasets to generate a third dataset for rendering and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional product development methods are used with hardware prototypes and software mock-ups, then the development process can proceed with basic functionality testing, but the ability to visualize and test full hardware-software interactions is severely limited
Solution Approach 1:
The patent creates a virtual copy of the technical device in an XR environment that replicates hardware appearance, behavior, and software interface. This virtual copy enables comprehensive interaction testing without requiring physical hardware prototypes, allowing errors to be detected earlier in the development process.
Solution Approach 2:
The XR environment serves as an intermediary between physical hardware prototypes and final software implementation. It provides a middle ground where hardware-software interactions can be visualized and tested with realistic fidelity before committing to full system integration.
2Ease of operation
If physical hardware prototypes and software mock-ups are used for usability testing, then basic functionality can be evaluated, but realistic interaction visualization and data collection are compromised
Solution Approach 1:
The system automatically captures and records all user interactions with the virtual device in the XR environment, providing comprehensive feedback data for analysis. This automated feedback mechanism enables detailed usability evaluation and generates training data without requiring manual observation or annotation.
Solution Approach 2:
By creating a virtual replica of the technical device with identical interaction patterns, the system enables realistic usability testing while automatically capturing comprehensive interaction data that would be difficult or impossible to collect with physical prototypes.
3Productivity
If conventional development approaches are used, then development can proceed with available resources, but the ability to collect meaningful interaction data early in development is impossible
Solution Approach 1:
The system enables collection of interaction data during the development phase itself, rather than waiting until deployment. By creating a virtual device that mimics real hardware behavior, meaningful training data can be gathered preliminarily to optimize AI algorithms and system performance before the actual product is released.
4Quantity of substance
If synthetic training data is generated through conventional methods like rotation and mirroring, then data quantity can be increased, but data realism and quality deteriorate
Solution Approach 1:
Instead of synthetically transforming limited real data through rotation and mirroring, the system creates a complete virtual copy of the technical device that generates unlimited realistic interaction data. This virtual replica produces training data with authentic visual appearance and interaction patterns, maintaining high realism while providing abundant quantity.
Data Source
AI summary
A computer-implemented method for visualizing interactions in an extended reality (XR) scene, the computer-implemented method comprising: receiving a first dataset representing an XR scene including a technical device; displaying the XR scene on an XR headset or a head-mounted display (HMD); providing a room for a user wearing the XR headset or HMD for interacting with the XR scene, wherein the room includes a set of optical sensors including at least one optical sensor at a fixed location relative to the room; detecting optical sensor data of the user as a second dataset while the user is interacting with the XR scene in the room; and fusing the first dataset and the second dataset to generate a third dataset.


