XR Animal Experiment Training With Movement Recognition Feedback
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Solution Overview
Problem
Animal experiments face ethical concerns and controversies, and there is a need for technology that can effectively replace or reduce the use of live animals in scientific research, particularly for training and education purposes.
Innovation Solution
An XR-based animal experiment education system utilizing a camera module, display module, and processor to provide virtual practice and evaluation of animal experiment movements, allowing users to practice and be evaluated on extended reality images without using real animals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If virtual reality technology is applied to animal experiment education, then ethical concerns and animal mistreatment are reduced, but current technology is not sufficiently disclosed or developed
Solution Approach 1:
The patent creates a virtual copy of the animal experiment environment using XR technology. The system displays XR images showing experimental subjects and allows users to perform practice movements on virtual subjects that replicate real experiment procedures. This copying approach eliminates ethical concerns about animal mistreatment while providing a reliable training platform with structured education courses and movement recognition.
Solution Approach 2:
The patent introduces an XR-based virtual environment as an intermediary between users and real animal experiments. The camera module captures user movements, the processor recognizes practice movements against reference information, and the display module shows XR images of virtual experimental subjects. This intermediary system provides a reliable bridge that reduces ethical harm while maintaining training effectiveness.
2Object-affected harmful factors
If XR-based virtual practice is implemented, then the need for live animals is reduced, but the system complexity increases with multiple modules and processing requirements
Solution Approach 1:
The patent designs an integrated XR-based education device where a single system performs multiple functions: the camera module captures user movements, the processor recognizes and evaluates practice movements, the display module shows XR images, and the memory stores education courses. This multi-functional integration reduces the need for live animals while managing complexity through unified system architecture.
Solution Approach 2:
The system incorporates automatic movement recognition and evaluation capabilities where the processor autonomously compares user practice movements against reference practice information stored in memory. The system self-evaluates user performance and provides feedback without requiring external animal subjects, reducing harm while the modular design manages complexity through self-contained functional units.
Data Source
AI summary
Disclosed are an electronic device, a server, and a method for XR-based animal experiment education, in which practice effects corresponding to the practice movement of a user in an XR image are given and displayed, thereby providing realistic practice education effects.