Lighting Scene Sharing Platform Using EEG-fMRI Emotion Mapping

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods using functional Magnetic Resonance Imaging (fMRI) and electroencephalograph (EEG) systems are expensive and impractical for commercial human-centric lighting systems, as they cannot accurately determine emotional states due to varying brainwave patterns and high costs.

Innovation Solution

Establish a correlation between EEG brainwave patterns and fMRI's blood oxygen-level dependent (BOLD) contrast responses to create a grading method for emotional responses, using intelligent human-centric lighting systems with multispectral light-emitting devices, and construct a spectral recipe database for effective emotional stimulation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If fMRI system is used to determine emotional states, then measurement precision is improved, but device complexity and cost increase significantly

Engineering Contradiction:
Improveemotional state detection accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates a simplified copy of the fMRI measurement capability using EEG technology. By establishing a correlation model between EEG brainwave patterns and fMRI BOLD contrast responses, the system replicates emotional state detection functionality with a less complex, more cost-effective device that maintains measurement precision through the learned mapping relationships.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces the complex mechanical and hardware infrastructure of fMRI systems with a software-based correlation model running on standard computing platforms. The emotional state detection function is substituted from a physical imaging system to an algorithmic processing system that uses EEG data and pre-trained models to achieve similar measurement precision without the associated complexity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If fMRI system is used to determine emotional states, then measurement precision is improved, but cost increases significantly

Engineering Contradiction:
Improveemotional state detection accuracyVSAvoidsystem cost
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent replaces expensive, long-term infrastructure (fMRI systems costing millions) with affordable, disposable-like EEG sensors and software licenses that can be deployed at minimal cost. The correlation model serves as a virtual replacement that eliminates the need for costly physical imaging equipment while maintaining measurement precision through algorithmic processing of cheaper EEG data.

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

3Device complexity

If EEG is used to determine emotional states, then device complexity is reduced, but measurement precision deteriorates due to varying brainwave patterns

Engineering Contradiction:
Improvesystem complexityVSAvoidemotional state detection accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent performs preliminary training actions by collecting and processing paired EEG-fMRI data from multiple subjects to establish correlation models before actual emotional state detection. This pre-training phase creates subject-specific or population-level mapping relationships that compensate for the natural variability in brainwave patterns, enabling accurate emotional state determination from EEG data without requiring complex real-time adjustments.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces a correlation model as an intermediary between raw EEG signals and emotional state conclusions. This intermediate processing layer translates variable brainwave patterns into standardized emotional state predictions by referencing pre-established relationships between EEG features and fMRI-validated emotional states, thereby maintaining measurement precision despite EEG's inherent variability.

Inventive Principle:
Principle #24Intermediary (Mediator)

4Ease of operation

If EEG is used instead of fMRI, then ease of operation is improved, but measurement precision worsens

Engineering Contradiction:
Improvesystem accessibilityVSAvoidemotional state detection accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent creates a functional copy of fMRI's emotional state detection capability using EEG technology combined with correlation models. This copied functionality maintains the measurement precision of fMRI while achieving the ease of operation of EEG, as the system processes simple EEG signals through software algorithms to produce fMRI-level emotional state accuracy without requiring complex imaging equipment or procedures.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS20260000337A1Method for constructing a lighting environment sharing platform
Publication Date: 2026.01.01 STRONGLED SMART LIGHTING (CAYMAN) CO LTD
  • US20260000337A1 patent drawing
  • US20260000337A1 patent drawing
  • US20260000337A1 patent drawing

AI summary

A method for constructing a lighting environment sharing platform includes constructing a multi-spectrum light-emitting device database stored in a cloud environment module, wherein one or more lighting parameters of specific color temperatures are used to control a multi-spectrum light-emitting device; constructing a light scene database formed by multi-spectrum combinations based on user emotional needs; selecting and controlling light scenes; recording effective scenes to form a spectrum recipe database; and enabling users to store and share spectrum recipes via the cloud.