Wearable VR Training With Brainwave-Based Adaptive Feedback

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Solution Overview

Problem

Existing training methods lack effective integration of bio-signal data, particularly brainwave patterns, to enhance user interaction and feedback in virtual reality environments for improved training outcomes.

Innovation Solution

A wearable computing device with bio-signal sensors, including brainwave sensors, is integrated into a virtual reality system to analyze user states and provide real-time feedback, adjusting the VR environment based on user interactions and bio-signal data to enhance training through iterative and cyclical processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If bio-signal sensors are integrated into the VR system to monitor user states, then training effectiveness is improved through real-time feedback, but device complexity increases

Engineering Contradiction:

Improvetraining effectivenessVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines multiple functional components (VR display, bio-signal sensors, processor for analyzing brainwave patterns, and feedback mechanisms) into an integrated wearable system. The sensors are embedded within the VR headset structure, allowing simultaneous collection of visual output data and physiological data without requiring separate devices, thus improving training effectiveness while managing complexity through unified design.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The VR system is designed to perform multiple functions: displaying visual content for training, monitoring various bio-signal parameters (brainwaves, heart rate, etc.), analyzing user states, and providing adaptive feedback. This multi-functional approach allows a single system to address multiple training needs simultaneously, improving overall reliability and effectiveness of the training process.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Productivity

If real-time bio-signal analysis is implemented to provide feedback, then user performance improvement is enhanced, but processing requirements and energy consumption increase

Engineering Contradiction:

Improvelearning efficiencyVSAvoidenergy consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary processing of bio-signal data by pre-defining thresholds and criteria for desired user states before actual training begins. During training, the processor compares real-time sensor data against these pre-established parameters, reducing the computational burden during energy-constrained operation while still enabling timely feedback for improving learning efficiency.

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If the VR environment is dynamically adjusted based on user bio-signal data, then adaptability of training is improved, but measurement and control difficulty increases

Engineering Contradiction:

Improvetraining adaptabilityVSAvoiduser state detection difficulty

Core Design Contradiction:

Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system implements continuous feedback loops where bio-signal data is constantly monitored, analyzed, and used to adjust the VR training environment in real-time. The processor detects deviations from desired user states and automatically modifies training parameters (such as difficulty level, content pacing, or visual stimuli) to guide the user back toward optimal learning states, thereby improving adaptability while managing measurement complexity through automated control algorithms.

Inventive Principle:

Principle #23Feedback

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

The system provides enhanced training by synchronizing user states with desired outcomes, offering real-time feedback and adaptive VR environments that improve user performance and learning efficiency.

Implementation Method 1

A human brain generates bio-signals such as electrical patterns known, which may be measured/monitored using an electroencephalogram ('EEG'). These electrical patterns, or brainwaves, are measurable by devices such as an EEG.

Methodology Applied

Scientific EffectElectroencephalogram (EEG):

Data Source

PatentUS20250244795A1System and method for enhanced training using a virtual reality environment and bio-signal data

Publication Date: 2025.07.31 INTERAXON

AI summary

A training apparatus has an input device and a wearable computing device with a bio-signal sensor and a display to provide an interactive virtual reality (“VR”) environment for a user. The bio-signal sensor receives bio-signal data from the user. The user interacts with content that is presented in the VR environment. The user interactions and bio-signal data are scored with a user state score and a performance scored. Feedback is given to the user based on the scores in furtherance of training. The feedback may update the VR environment and may trigger additional VR events to continue training.