Brain-Control Interface Adapting EEG Processing to Light Scenes
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Solution Overview
Problem
Light effects, particularly substantial amounts of blue light or bright light, can compromise brainwave-based device control by affecting brainwaves in the occipital region, leading to false or incorrect triggers.
Innovation Solution
A brain control interface system that detects brain signals and adjusts processing methods based on the current light scene, selecting appropriate processing techniques for different light conditions to accurately derive control commands and mental states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If EEG sensors are placed on the occipital region to detect brain signals, then the detection capability is improved, but light effects from lighting devices can interfere with the brain signals and cause false triggers
Solution Approach 1:
The patent introduces light sensors as intermediary devices that detect the light scene in the environment and use this information to adjust the EEG processing. The light sensors act as mediators between the harmful light effects and the EEG detection system, allowing the system to compensate for light interference by adapting processing parameters based on detected light conditions.
Solution Approach 2:
The patent changes processing parameters of the EEG signals based on the detected light scene. When light effects are detected that may interfere with brain signal detection, the system adjusts processing parameters such as filtering settings, threshold values, or signal enhancement techniques to maintain accurate detection despite the presence of light-induced artifacts.
2Device complexity
If the brain control interface processes all brain signals uniformly, then the processing is simple, but light effects cause false triggers reducing reliability
Solution Approach 1:
The patent makes the processing method dynamic by adapting it to the current light scene conditions. Instead of using a fixed uniform processing approach, the system continuously monitors light conditions and adjusts processing parameters accordingly. This dynamic adaptation allows the system to maintain simple processing under good conditions while automatically adjusting to prevent false triggers when light interference is present.
Solution Approach 2:
The patent implements a feedback mechanism where the light sensor continuously monitors the light scene and feeds this information back to the EEG processing system. This feedback loop allows the system to real-time adjust processing parameters based on current lighting conditions, preventing false triggers caused by light effects while maintaining operational simplicity through automated adaptation.
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
Reduces the likelihood of false or incorrect triggers by accounting for light effects on brain activity, ensuring precise control of connected devices.
Implementation Method 1
Most BCIs utilize electroencephalography (EEG) systems, which typically feature electrodes are attached to the scalp, which measure the electrical current sent by the neurons inside the brain.
Implementation Method 2
both short-wavelength and long-wavelength light increase alertness at night, as shown in EEG power change
Data Source
AI summary
The brain control interface system comprises: a brain control interface configured to detect brain signals indicative of brain activity of a user in an environment, an input configured to obtain data indicative of a current light scene of one or more lighting devices in the environment, a memory configured to store processing methods associated with different light scenes, one or more processor configured to: select, from the processing methods stored in the memory, a processing method in accordance with the current light scene, apply the selected processing method to obtain and/or process the brain signals, derive a control command and/or a mental state of the user from the brain signals, and control the controllable device based on the derived control command and/or the derived mental state.