EEG Thought Control for Sexual Stimulation Devices

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Solution Overview

Problem

Current control systems for sexual stimulation devices are rudimentary and primarily limited to pre-programmed routines, requiring manual programming and physical or touch-screen controls, which can be cumbersome and distracting, lacking thought-based control options.

Innovation Solution

A system and method using electroencephalography (EEG) to enable thought-based control of sexual stimulation devices through a training phase where electrodes detect brain electrical activity patterns associated with control functions, utilizing machine learning algorithms to generate control signals for the devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual programming or physical controls are used, then device customization is possible, but user convenience and ease of operation deteriorates

Engineering Contradiction:

Improvedevice customizationVSAvoiduser convenience

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent replaces mechanical controls (physical buttons, knobs, or touch screens) with a brain-computer interface system that uses EEG sensors to detect electrical signals from brain waves. This substitution eliminates the need for manual physical interaction with control mechanisms, directly resolving the contradiction by maintaining customization capability while dramatically improving ease of operation through thought-based control.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary system consisting of EEG sensors, signal processing units, and machine learning algorithms that mediate between the user's thoughts and the device control. This intermediary layer translates neural signals into device commands, enabling intuitive control without direct physical interaction and thus resolving the contradiction between customization and ease of operation.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of operation

If pre-programmed routines are used, then device operation is simplified, but adaptability and customization capability deteriorates

Engineering Contradiction:

Improveoperation simplicityVSAvoidcustomization capability

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent implements a dynamic control system that adapts to individual user preferences and thought patterns through machine learning algorithms. Unlike static pre-programmed routines, the system continuously learns from user interactions and brain signal patterns to automatically customize stimulation parameters, thereby maintaining operational simplicity while significantly enhancing adaptability and customization capability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent enables the device to serve itself by using machine learning algorithms to automatically adjust control parameters based on detected brain activity patterns and user feedback. This self-service capability eliminates the need for manual reprogramming while maintaining high adaptability, resolving the contradiction between operational simplicity and customization capability.

Inventive Principle:

Principle #25Self-service

3Ease of operation

If physical or touch-screen controls are used, then device control is direct, but user distraction and cumulative burden increases

Engineering Contradiction:

Improvecontrol directnessVSAvoidcumulative user effort

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The patent substitutes mechanical and touch-based control systems with a neural signal-based control mechanism. By detecting brain wave patterns through EEG sensors, the system enables direct thought-based control without requiring users to physically interact with buttons, screens, or other control interfaces, thereby eliminating the time and effort previously spent on manual control operations.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

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

Enables automated, customized control of sexual stimulation devices without manual input, providing a more intuitive and efficient user experience by translating brain activity into device control signals.

Implementation Method 1

measuring electrical signals produced by the person's brain via the electrodes

Methodology Applied

Scientific EffectElectroencephalography:

Data Source

PatentUS11779512B2Control of sexual stimulation devices using electroencephalography

Publication Date: 2023.10.10 SLOAN BRIAN

AI summary

A system and method for thought-based control of sexual stimulation devices using electroencephalography. In an embodiment, a training phase comprises placing electrodes on the head of a person, measuring electrical signals produced by the person's brain via the electrodes while the user engages in one or more thought-based training tasks, associating patterns of electrical activity in the person's brain while performing the tasks with controls of the sexual stimulation device. In an embodiment, an operation phase comprises generating control signals for the sexual stimulation device based on the associations when the patterns of electrical activity are detected by the electrodes. In some embodiments, machine learning algorithms are used to detect the patterns of electrical activity and make the associations. In some embodiments, data from other biometric sensors is included in the associations.