Biofeedback Sensor for Real-Time VR Environment Control
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Solution Overview
Problem
Current methods for analyzing and manipulating biofeedback data in virtual and augmented reality environments lack the ability to effectively utilize brain electrical activity to modify simulated environments in real-time.
Innovation Solution
A biofeedback system that includes a biofeedback sensor coupled to the user's scalp to measure electrical brain activity, converting these signals into digital form for a computer to modify a simulated environment, such as a virtual or augmented reality experience, allowing users to manipulate the environment by altering their brain activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If biofeedback sensors are used to measure brain electrical activity in real-time, then user interaction and control capabilities are improved, but device complexity and signal processing requirements increase
Solution Approach 1:
The patent replaces traditional mechanical input devices (controllers, keyboards, mice) with a biofeedback system that measures brain electrical activity through sensors. This substitution enables direct neural control of the simulated environment, allowing users to modify elements by thinking about the desired changes rather than using physical input mechanisms.
Solution Approach 2:
The patent introduces an intermediary processing system that includes sensors, signal conditioners, and software algorithms. This intermediary layer converts raw brain wave signals into actionable control commands, filtering and interpreting neural data to translate thought patterns into environmental modifications without requiring direct physical interaction.
2Speed
If real-time brain activity monitoring is implemented, then responsiveness and control precision are improved, but measurement precision requirements and signal processing complexity increase
Solution Approach 1:
The patent implements continuous real-time monitoring of brain electrical activity throughout the virtual reality experience. The system maintains constant signal acquisition and processing to enable immediate response to user thoughts, ensuring that environmental modifications occur as soon as the user thinks about making changes, without interruption or delay.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors brain activity, processes the signals, and adjusts the simulated environment accordingly. This closed-loop feedback enables the system to respond to user intentions in real-time, creating an intuitive and responsive interaction model that adapts to changing neural patterns.
3Adaptability or versatility
If multiple sensors and processing components are added to enable brain activity control, then functionality and adaptability are improved, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent creates a universal biofeedback system that can control various elements within the simulated environment through a single integrated platform. The same sensor array and processing software can modify different environmental parameters (visual elements, audio outputs, spatial arrangements) by interpreting different brain wave patterns, eliminating the need for separate control systems for each function.
Solution Approach 2:
The patent divides the complex system into modular components: sensor arrays for signal acquisition, signal conditioning units for preprocessing, and software modules for different types of environmental control. This segmentation allows each component to be developed, tested, and manufactured independently, then assembled into the complete system, reducing overall manufacturing complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables users to interactively modify virtual or augmented reality environments by thinking, enhancing the immersive experience and allowing for real-time feedback and control of sensory elements like sight, sound, and graphics based on brain wave activity.
Implementation Method 1
A biofeedback sensor measures electrical activity of the brain of the user when the user experiences the simulated environment. The biofeedback sensor generates electrical signals corresponding to the electrical activity
Implementation Method 2
An analog-to-digital converter receives the electrical signals from the biofeedback sensor. The analog-to-digital converter converts the electrical signals to digital signals that are transmitted to the computer
Implementation Method 3
An amplifier can be coupled to the biofeedback sensor for amplifying the electrical signals
Data Source
AI summary
An apparatus to analyze and manipulate biofeedback data is described. The apparatus includes a display that renders a simulated environment. The simulated environment is experienced by a user. The simulated environment is generated by a software program executing on a computer. A biofeedback sensor is coupled to the scalp of the user. The biofeedback sensor measures the electrical activity of the brain of the user when the user experiences the simulated environment. The biofeedback sensor generates electrical signals corresponding to the electrical activity such that the user is able to modify the simulated environment by manipulating the electrical activity in the brain.