EEG Control System for Personalized Lighting via User Hierarchy

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Solution Overview

Problem

Current EEG systems lack the capability to configure user preferences and implement user hierarchies for real-time operation in controlling lighting and building management systems, failing to provide personalized and permission-based control functionalities.

Innovation Solution

An EEG system is developed that includes electrodes for detecting brain signals, circuitry for processing these signals, and a processor for configuring user preferences and hierarchies, allowing for real-time control of lighting and building management systems by associating detected EEG signals with control instructions and privilege levels, enabling personalized and secure operation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If EEG systems are configured to control lighting and building management systems, then real-time control capability is improved, but user preference configuration and hierarchy management are insufficient

Engineering Contradiction:
Improvereal-time control capabilityVSAvoiduser preference configuration complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The system performs preliminary configuration of user preferences and hierarchy levels during a setup phase before real-time operation. User preferences are pre-configured and stored, allowing the system to automatically retrieve and apply appropriate control parameters during real-time EEG-based operation without requiring complex on-the-fly configuration.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If user hierarchy is implemented for permission-based control, then security is improved, but system complexity increases

Engineering Contradiction:
Improvepermission-based securityVSAvoidhierarchy management complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system implements local quality by assigning different permission levels and control capabilities to different users based on their hierarchy level. Each user receives customized access rights tailored to their role, allowing fine-grained security control without requiring complex centralized management of all user permissions.

Inventive Principle:
Principle #3Local quality

3Ease of operation

If personalized user preferences are stored and retrieved, then user experience is improved, but data management complexity increases

Engineering Contradiction:
Improvepersonalized control experienceVSAvoiddata management complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

User preferences are pre-configured and stored during an initial setup phase. The system retrieves these pre-stored preferences during real-time operation based on user identification, eliminating the need for complex real-time data collection and processing while maintaining personalized user experiences.

Inventive Principle:
Principle #10Preliminary action

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 effectively enables real-time, personalized control of lighting and building management systems based on user preferences and hierarchies, enhancing user experience and security by utilizing brain signals to manage system operations.

Implementation Method 1

Electroencephalography (EEG) is an electrophysiological monitoring method to record electrical activity of the brain. It is typically noninvasive, with the electrodes placed along the scalp

Methodology Applied
Scientific EffectElectrical activity detection: Electric Field

Data Source

PatentUS10682069B2User preference and user hierarchy in an electroencephalography based control system
Publication Date: 2020.06.16 ABL IP HLDG LLC
  • US10682069B2 patent drawing
  • US10682069B2 patent drawing
  • US10682069B2 patent drawing

AI summary

A system including an electroencephalography (EEG) device configured to be positioned on a head of a user. The system also includes a processor in communication with the EEG device, a memory accessible by the processor and instructions stored in the memory for execution by the processor to, in configuration phase, for each respective location among a plurality of locations at a respective time among a plurality of times, obtain an identification (ID) associated with the respective premises at the respective time, determine a control instruction associated with the EEG signals detected from among a plurality of control instructions; store the determined control instruction in association with the obtained premises ID, as a user preference data relative to the respective location; and at a later time, during an operational phase at the respective location, utilize the stored user preference data to communicate a control data signal corresponding to the determined control instruction to a controllable device at the respective premises.