Virtual Surgical Training Haptics with Adaptive Tool-Target Physics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional medical and surgical training methods, particularly those involving virtual reality, are limited by processing constraints that hinder the provision of seamless, realistic, and immersive training experiences, especially for surgeons in-training, who often lack sufficient hands-on experience.
Innovation Solution
A virtual reality training system that utilizes a processor, hand-held components, and an algorithmic approach to provide dynamic haptic and visual feedback, allowing users to interact with virtual surgical instruments and objects, without the need for pre-programmed interactions, thereby enhancing the realism and efficiency of surgical simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional virtual reality training systems pre-program interactions for each tool and target combination, then specific surgical procedures can be simulated, but the programming complexity and time required increase exponentially
Solution Approach 1:
The system enables virtual objects and tools to automatically generate their own interaction physics without requiring manual programming. Each virtual object possesses inherent physical properties (mass, friction, elasticity) that automatically determine interaction outcomes, eliminating the need for developers to pre-program every tool-target combination.
Solution Approach 2:
The patent changes the approach from discrete interaction programming to continuous parameter-based simulation. By defining physical parameters (friction coefficients, elastic moduli, mass) for virtual objects and tools, the system dynamically calculates interaction forces and responses, allowing infinite variability without additional programming.
2Reliability
If detailed visual and haptic feedback are provided to enhance realism, then training effectiveness improves, but processing requirements and computational load increase
Solution Approach 1:
The system provides haptic feedback selectively based on interaction significance rather than continuously. Haptic feedback is generated only when meaningful interactions occur (e.g., tool contact with tissue, force application), reducing computational load while maintaining training effectiveness for critical moments.
Solution Approach 2:
The patent implements frame-rate adaptive haptic feedback that synchronizes with the visual display refresh rate. Haptic updates are provided periodically at key interaction moments rather than continuously, reducing processing requirements while maintaining the perception of seamless realism.
3Productivity
If seamless real-time processing is achieved for immersive training, then user engagement improves, but system complexity and computational demands increase
Solution Approach 1:
The patent divides the computational workload into separate independent modules: physics engine for collision detection, rendering engine for visual output, and haptic engine for tactile feedback. Each module processes its tasks independently and parallelly, achieving real-time performance without requiring a monolithic complex system.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Disclosed herein are systems, methods, and software for providing a virtual environment with enhanced visual and haptic detail. In some embodiments, the haptic tool and haptic target are assigned affordance and susceptibility values, respectively, that are used to determine visual and haptic feedback.