XR Training Server Templates for Realistic Haptic Interaction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current VR training systems lack the ability to provide realistic tactile and environmental interaction, limiting the effectiveness of training scenarios, particularly in environments requiring physical interaction with virtual objects.
Innovation Solution
An XR training server that generates and displays XR training data by processing graphic resources into template data, including object, avatar, and transportation templates, and integrates user interaction through wearable devices to simulate realistic environments and interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If VR training systems use only audio-visual stimulation, then the system complexity is reduced and ease of operation is improved, but the training effectiveness and realism are worsened
Solution Approach 1:
The patent combines multiple sensing modalities (visual, auditory, tactile, force feedback) into a unified VR training system. The haptic feedback device integrates motor drivers, force sensors, and control circuits to provide multi-sensory stimulation, resolving the contradiction by merging separate functional components into a coordinated system that enhances training effectiveness without proportionally increasing complexity.
Solution Approach 2:
The control circuit is designed to universally manage multiple types of feedback (haptic, force, visual, auditory) through a single integrated controller. This multi-functional approach allows the system to provide diverse training stimuli while maintaining manageable system complexity through centralized control architecture.
2Reliability
If VR objects are purely visual representations without physical interaction capability, then the manufacturing precision and device complexity are reduced, but the user interaction realism and safety are worsened
Solution Approach 1:
The patent replaces complex mechanical interaction systems with electronic sensing and haptic feedback mechanisms. Force sensors and motor drivers electronically simulate physical interactions, providing realistic tactile feedback without requiring complex mechanical structures. This substitution maintains interaction realism while controlling device complexity through electronic rather than mechanical solutions.
Solution Approach 2:
The system dynamically changes haptic feedback parameters (force magnitude, vibration frequency, resistance) based on user interaction with virtual objects. By adjusting these parameters in real-time, the system creates realistic physical interaction sensations without requiring complex mechanical structures, resolving the contradiction between interaction realism and device complexity.
3Ease of manufacture
If the VR system provides only visual and auditory feedback, then the ease of manufacture is improved, but the completeness of training scenarios is worsened
Solution Approach 1:
The haptic feedback device incorporates dynamic adjustment capabilities, allowing the system to adapt feedback characteristics based on training scenario requirements. The control circuit dynamically modifies force feedback, vibration, and resistance parameters to match different training contexts, enhancing training scenario completeness while maintaining ease of manufacture through software-controlled adaptability rather than hardware complexity.
Data Source
AI summary
An extended reality (XR) training server comprising: a preprocessor configured to receive a graphic resource from an external database and convert the received graphic resource to generate template data; a content producer configured to produce content for XR training by using the template data; and an interaction part configured to display XR training data to a user by using the template data and the content, wherein the template data includes data obtained from the graphic resource that is changed to be usable for generating the content, wherein the content includes at least one of a map for XR training and a scenario corresponding to the map.