AI Control Parameters for Personalized Sexual Stimulation Sync
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Solution Overview
Problem
Conventional sex toys lack customization and synchronization with sexual content, leading to inconsistent and unsatisfactory sexual experiences due to limited controllable settings and inaccurate sensor-based parameter determination.
Innovation Solution
A system utilizing generative artificial intelligence (AI) models to generate control parameters for sexual stimulation devices based on personalized interaction data, ensuring synchronized and personalized sexual experiences by adjusting settings like intensity and frequency in response to user preferences and physiological feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional sex toys with limited controllable settings are used, then device complexity is reduced, but adaptability to user preferences and physiological changes deteriorates
Solution Approach 1:
The patent introduces sensors as intermediary components that detect physiological parameters (heart rate, body temperature, galvanic skin response) and convert them into actionable data. These sensors act as mediators between the user's physiological state and the device's control system, enabling automatic adaptation without requiring complex user interfaces or manual adjustments.
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring physiological parameters through sensors and automatically adjusting stimulation parameters (intensity, frequency, pattern) based on detected arousal levels. This feedback mechanism allows the device to adapt to user preferences and physiological changes in real-time, resolving the contradiction between adaptability and complexity.
2Adaptability or versatility
If sensors are added to determine sexual behavior parameters, then adaptability improves, but reliability of parameter determination deteriorates due to inaccurate sensor-based detection
Solution Approach 1:
The patent merges multiple sensor types (heart rate sensors, body temperature sensors, galvanic skin response sensors) into an integrated sensing system. By combining data from multiple independent sensors, the system cross-validates measurements and compensates for individual sensor inaccuracies, thereby improving overall parameter determination reliability while maintaining high adaptability.
Solution Approach 2:
The sensing system functions as a composite detection mechanism, where multiple sensing modalities are combined to create a more reliable overall measurement system. Just as composite materials combine different materials to achieve superior properties, the composite sensing approach combines multiple sensor types to achieve more accurate and reliable parameter determination than any single sensor could provide.
3Adaptability or versatility
If generative AI models are used to generate control parameters, then adaptability and personalization improve, but device complexity and computational requirements worsen
Solution Approach 1:
The patent segments the control system into distinct functional modules: sensor data acquisition module, physiological parameter analysis module, stimulation pattern generation module, and execution module. This segmentation allows the complex AI-driven personalization to be broken down into manageable components, reducing overall system complexity while maintaining advanced adaptability capabilities.
Solution Approach 2:
The system performs preliminary analysis of physiological parameters and pre-generates stimulation patterns before actual stimulation begins. By preparing control parameters in advance based on initial sensor readings and user profiles, the system reduces real-time computational complexity during the actual stimulation process, enabling personalized adaptation without excessive system complexity.
4Ease of operation
If synchronization with sexual content is implemented, then user satisfaction improves, but device complexity and coordination requirements worsen
Solution Approach 1:
The patent introduces a media synchronization module as an intermediary that acts as a bridge between the stimulation device and external sexual content (videos, audio, or text). This mediator module detects content events (such as scene changes, intensity variations, or specific triggers) and automatically coordinates stimulation patterns with content timing, enabling synchronized operation without requiring complex direct integration between the device and multiple content sources.
Data Source
AI summary
The present invention relates to systems and methods for generating control parameters to operate a sexual stimulation device. The system includes a memory storing executable instructions and a processor operatively coupled with the memory. The processor executes the executable instructions to cause the system to obtain input including personalized interaction data from a user terminal associated with a user. The processor generates a control response corresponding to the input based on implementing generative artificial intelligence models. The control response includes a set of control parameters and an auxiliary response appended with coded data representing the set of control parameters defined for operating the sexual stimulation device. The processor transmits the control response to the user and other users for operating the sexual stimulation device associated with the user and the other users to provide sexual stimulation to the user and the other users corresponding to the input.