Brain-Machine Sensory Generation for Realistic Virtual Object Interaction
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Solution Overview
Problem
Existing virtual reality technologies rely heavily on sensors for sensory simulations, which are cumbersome and incomplete, leading to unrealistic sensory experiences, particularly in terms of material quality, texture, and smoothness.
Innovation Solution
A method and apparatus that utilize position information and attribute information of a target object in a virtual environment to generate sensory information, converting it into electrical signals through a brain-machine interface device, enhancing sensory simulations like tactility, olfaction, audition, and taste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensors are used for sensory simulations in virtual reality, then sensory simulation capability is provided, but device complexity increases and sensory completeness is limited
Solution Approach 1:
The patent replaces the mechanical sensor-based sensory simulation system with a brain-machine interface system that directly stimulates neural tissue. Instead of using multiple types of sensors (microphones, touching sensors, chemical sensors) to detect and simulate sensory inputs, the invention uses electrical signals delivered through the brain-machine interface to directly evoke sensory perceptions in the user's brain, thereby eliminating the need for complex sensor hardware while providing comprehensive multi-sensory simulation capability.
2Adaptability or versatility
If multiple types of sensors are used for comprehensive sensory simulation, then sensory coverage is improved, but device complexity and cumulative error increase
Solution Approach 1:
The patent merges multiple sensory simulation functions into a single integrated brain-machine interface system. Instead of combining separate sensor systems for auditory, tactile, olfactory, and taste simulations, the invention consolidates all these functions into one device that delivers electrical signals through a single interface to the user's brain, thereby providing comprehensive sensory coverage while eliminating the cumulative errors and complexity associated with multiple independent sensor systems.
3Measurement precision
If sensors are used for tactile sensing, then material quality detection is provided, but the realism of tactile simulation is insufficient
Solution Approach 1:
The patent replaces the mechanical touching sensor system with a brain-machine interface that directly stimulates the neural pathways responsible for tactile perception. Instead of using sensors to detect material properties and then attempting to simulate them through mechanical feedback, the invention directly activates the brain's tactile processing areas with electrical signals, thereby achieving realistic tactile simulation of material quality, texture, and smoothness without the limitations of mechanical sensor-based approaches.
Data Source
AI summary
An information generation method includes acquiring relative position information on a user relative to a target object in a virtual environment, determining sensory information corresponding to the target object based on the relative position information and the attribute information on the target object, and converting the sensory information into electrical signals to stimulate the user through the brain-machine interface device. Accordingly, the method helps the user experience the attributes of the object in the virtual environment and improves the authenticity of the interaction.