Brain-Machine Sensory Generation for Authentic 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 of a user in a virtual environment to determine sensory information corresponding to a target object, converting it into electrical signals through a brain-machine interface device, including determining tactile, olfactory, auditory, and taste information based on relative position and attribute information.
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 deteriorates
Solution Approach 1:
The patent replaces physical sensors with a brain-machine interface system that directly stimulates neural tissue. Instead of using external sensors to detect and simulate sensory information, the invention uses electrical signals to directly activate neurons in the somatosensory cortex, thereby replacing the mechanical/sensor-based system with a neurostimulation-based system. This reduces device complexity while maintaining or enhancing sensory simulation capability.
Solution Approach 2:
The patent introduces electrical signals as an intermediary between the virtual reality system and the user's sensory experience. Rather than using sensors to indirectly simulate sensory input, the system uses electrical stimulation as a direct mediator to activate neural pathways, providing more complete and realistic sensory feedback including tactile, temperature, and pain sensations that were previously difficult to achieve with sensor-based approaches.
2Adaptability or versatility
If multiple types of sensors are used for comprehensive sensory simulation, then sensory completeness improves, but device complexity increases
Solution Approach 1:
The patent applies a single brain-machine interface device that can provide multiple types of sensory stimulation (tactile, temperature, pain, pressure) through different stimulation parameters and electrode configurations. This multi-functional approach eliminates the need for multiple separate sensor systems, achieving comprehensive sensory simulation while reducing overall device complexity. The same neural interface can simulate different sensory modalities by varying the stimulation protocol.
Solution Approach 2:
The patent merges multiple sensory simulation functions into a single neural stimulation system. Instead of combining separate tactile sensors, temperature sensors, and pain sensors, the invention integrates all these sensory modalities into one brain-machine interface that can activate different neural pathways corresponding to various sensory experiences through electrical stimulation, thereby simplifying the overall system architecture.
3Loss of information
If sensors are used for sensory simulation, then some sensory information is provided, but measurement precision and sensory realism deteriorate
Solution Approach 1:
The patent replaces sensor-based detection and simulation with direct neural stimulation. Instead of using sensors to measure and then simulate sensory input, the system directly stimulates the neural tissue responsible for sensory perception, thereby eliminating the information loss and precision limitations inherent in sensor-based measurement and simulation chains. This provides more accurate and realistic sensory feedback.
Data Source
AI summary
There is provided an information generation method and apparatus, which relates to a technical field of augmented reality. The 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.