Neuro-feedback Training via Adaptive Video Game Rewards
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Solution Overview
Problem
Current neuro-feedback training methods are challenging for users to learn and master due to lack of engaging feedback, requiring experienced trainers and resulting in inconsistent results, high costs, and user frustration.
Innovation Solution
A processor-implemented method and system that uses brainwave signals to provide rewards and penalties in a video game or IoT device, incentivizing users to control specific brainwave frequency bands through visual, audio, and tactile feedback, allowing for experiential learning and adaptive threshold adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional neuro-feedback training methods are used with simple feedback forms, then the training can be implemented, but the trainees find it boring and not engaging
Solution Approach 1:
The feedback is dynamically adjusted based on the trainee's performance and brainwave patterns. The video game environment changes in real-time响应 to neural feedback, making the training adaptive and engaging rather than static and boring
Solution Approach 2:
The system implements closed-loop feedback where the trainee's brainwave activities directly influence the video game outcomes. This creates meaningful engagement by linking internal mental states to external rewarding experiences, transforming simple feedback into compelling interactive feedback
2Reliability
If experienced trainers are used to guide trainees, then the training quality may be improved, but the costs and time consumption increase
Solution Approach 1:
The system enables self-guided training through automated algorithms that analyze brainwave patterns and adjust training parameters without trainer intervention. The video game provides intuitive guidance and adaptive difficulty adjustment, allowing trainees to learn independently while maintaining high training quality
Solution Approach 2:
The patent replaces the mechanical system of human trainers with an automated computational system that uses machine learning algorithms to analyze neural data and provide optimized feedback, eliminating the need for expensive human expertise while maintaining or improving consistency
3Loss of information
If verbal instructions are provided to trainees, then the training can be explained, but the non-verbal learned behavior cannot be easily communicated
Solution Approach 1:
The video game serves as an intermediary that translates complex non-verbal neural patterns into intuitive visual and interactive experiences. Instead of trying to verbally explain brainwave control, the system mediates the connection between internal mental states and external game outcomes through engaging gameplay mechanics
Solution Approach 2:
The system changes the parameter of feedback from verbal descriptions to dynamic visual and interactive elements. By transforming abstract neural concepts into concrete game mechanics and visual feedback, the system makes non-verbal learning accessible without relying on limited verbal communication
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
Enhances user engagement and motivation by providing intuitive and adaptive feedback, improving the ability to control brainwave activities, reducing the need for trainers, and making neuro-feedback training more accessible and effective.
Implementation Method 1
The brainwaves can be measured outside the skull through electroencephalography (EEG). Typically, the spectrum of the brainwaves may have several distinct frequency bands
Data Source
AI summary
A method and system for neuro-feedback training are disclosed. According to certain embodiments, the method may include receiving, by a processor via a communication network, a brainwave signal measured by at least one sensor attached to a user. The method may also include determining, by the processor, a frequency distribution of the brainwave signal. The method may also include determining, by the processor, a reward in a video game when at least one first value indicative of an amount of the brainwave signal within a first frequency band meets a first criterion. The method may further include providing, to the user, a first feedback signal indicative of the reward.