System and method for modulating a sex peripheral device based on an unscripted feed using computer vision
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Solution Overview
Problem
Current virtual reality systems lack a home-use, stand-alone device capable of delivering target-specific haptics with next-generation realism and zero latency, and fail to integrate learning-based approaches for dynamic haptic command generation and computer vision processing for unscripted audio/video inputs.
Innovation Solution
A modular haptic system that uses a haptic tower with integrated fan assemblies, temperature control, and sensors to deliver variable air flow and temperature, coupled with a neural network for learning-based event tracking and prediction, and computer vision processing for direct integration with audio/video signals to trigger haptic effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a modular haptic system with neural network and computer vision processing is implemented, then haptic delivery precision and realism are improved, but device complexity increases
Solution Approach 1:
The system is divided into modular components: a haptic tower with fan assemblies for air flow delivery, temperature control elements, sensor arrays for environmental monitoring, and integrated processing units running neural networks and computer vision algorithms. This segmentation allows each module to be optimized independently while maintaining overall system precision.
Solution Approach 2:
The patent introduces intermediary processing layers including neural networks that translate visual and audio inputs into haptic commands, and computer vision systems that bridge the gap between unscripted video content and haptic event detection. These intermediaries enable precise haptic delivery without requiring direct complex coupling between all system components.
2Measurement precision
If learning-based approaches and computer vision processing are integrated for real-time haptic command generation, then haptic response accuracy is improved, but processing latency increases
Solution Approach 1:
The system performs preliminary processing by pre-training neural networks on haptic event patterns and pre-processing video/audio feeds through computer vision pipelines before haptic delivery is needed. This allows the system to quickly generate haptic commands during actual use without performing heavy computation in real-time, thus maintaining both accuracy and low latency.
Solution Approach 2:
The patent replaces traditional mechanical or rule-based haptic control systems with neural network-based learning approaches and computer vision processing. This substitution enables more accurate interpretation of unscripted content and environmental inputs, generating precise haptic commands while the computational efficiency of modern neural networks helps maintain acceptable latency levels.
3Ease of operation
If the system is designed as a home-use stand-alone device, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The haptic tower is designed as a universal stand-alone device that integrates multiple functions: haptic actuation through controlled air flow and temperature, computer vision processing for unscripted content, neural network-based event detection, and audio analysis. This multi-functionality consolidates what would otherwise require multiple separate devices into a single home-use unit, improving ease of operation while managing complexity through integration.
Solution Approach 2:
The system incorporates self-service capabilities through automatic calibration routines, adaptive learning from user interactions, and autonomous operation without requiring manual configuration or external platform dependencies. The neural networks continuously learn from environmental inputs, and the computer vision system automatically processes unscripted video content, reducing the need for user intervention despite the system's sophisticated capabilities.
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 precise, real-time haptic delivery and reduced latency, allowing users to experience immersive environments without platform dependencies and content support hurdles, with the ability to integrate with various devices and environments for enhanced realism.
Implementation Method 1
control an air flow intensity... deliver a haptic output to a user
Implementation Method 2
control a temperature element for heating or cooling the air flow
Implementation Method 3
control a temperature element for heating or cooling the air flow
Data Source
AI summary
This invention discloses a system for processing at least one of an audio or video input for non-scripted modulation of at least one sex peripheral device (SEPD), the system comprising, the at least one SEPD in at least one of physical contact or free from at least one user and in communication with at least a first device (Dl) playing programming, a processor, a memory element coupled to the processor, a program executable by the processor to recognize at least one of the audio or video input from the Dl and determine for at least one tagged event, at least one of a pixel color score, a pixel velocity score, an event proximity score or an audio score and command at least one of a trigger or control an effect of the at least one SEPD upon a threshold-grade score.