Human-Centric Lighting Control Using EEG-Based Emotion Navigation
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Solution Overview
Problem
Current technologies lack a cost-effective method to construct a commercial human-centric lighting system that can accurately determine and adjust lighting spectrum based on human emotions using functional Magnetic Resonance Imaging (fMRI) or electroencephalogram (EEG) data, as fMRI systems are expensive and EEG patterns vary among individuals.
Innovation Solution
Establish a correlation between EEG brainwave patterns and fMRI's blood oxygen-level dependent (BOLD) contrast responses to develop an intelligent human-centric lighting system that adjusts lighting spectrum to navigate emotions, using a cloud-connected system with a lighting field end and client terminal to implement a multispectral recipe for emotion navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fMRI system is used to determine emotion, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent uses EEG to measure brainwave patterns and creates a correlation model that copies the emotion determination capability of fMRI. The system establishes a mapping between EEG brainwave patterns and fMRI-based emotion states, allowing the simpler EEG device to replicate the emotion detection function of the complex fMRI system through data correlation and model transformation
Solution Approach 2:
The patent replaces the expensive, complex, and difficult-to-deploy fMRI system with a low-cost, portable EEG device. The EEG system is described as having advantages of low cost, portability, and ease of deployment, making it a practical alternative that can be widely used in commercial human-centric lighting applications
2Device complexity
If EEG is used to determine emotion, then device complexity is reduced, but measurement precision deteriorates due to individual variations in brainwave patterns
Solution Approach 1:
The patent transforms the EEG measurement approach by changing from direct brainwave analysis to analyzing the correlation between brainwave patterns and emotional states. The system measures multiple EEG parameters (brainwave power, spectral density, coherence) and uses these transformed parameters in a correlation model to determine emotions, thereby improving precision while maintaining device simplicity
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors EEG signals, compares them against the established correlation model, and adjusts lighting output based on the determined emotional state. This closed-loop feedback ensures accurate emotion determination and appropriate lighting adjustment despite individual variations in brainwave patterns
3Measurement precision
If fMRI-based emotion detection is implemented, then measurement precision is improved, but ease of operation deteriorates due to high cost and complexity
Solution Approach 1:
The patent replaces the expensive, complex, and difficult-to-deploy fMRI system with a low-cost, portable EEG device. The EEG system is described as having advantages of low cost, portability, and ease of deployment, making it a practical alternative that can be widely used in commercial human-centric lighting applications
Data Source
AI summary
A method for implementing emotion navigation by using an intelligent human centric lighting system for implementing emotion navigation includes the following steps. Step 1 is to confirm an initial emotion of a user. Step 2 is to set a target emotion. Step 3 is to select a relay emotion to set an emotion navigation path. Step 4 is to edit a multispectral recipe corresponding to the relay emotion and the target emotion according to the multispectral recipe. Step 5 is to perform a lighting program of the multispectral recipe of the relay emotion and the target emotion. If the determination is not reaching the target emotion of Step 6, then go to obtain the user's personal physiological data to find out the multispectral recipe of the corresponding emotion that can adjust to the target emotion.