Auditory Olfactory Mapping System AI Spectrum Analysis
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Solution Overview
Problem
Existing methods lack practical applications that systematically integrate auditory and olfactory stimuli for therapeutic purposes, and they fail to integrate with other sensory modalities, limiting the potential for a comprehensive therapeutic experience.
Innovation Solution
The use of artificial intelligence (AI) and spectrum analysis to convert auditory information into olfactory information and vice versa, creating a seamless and dynamic synesthetic experience that can be tailored to individual profiles and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If auditory and olfactory stimuli are systematically integrated for therapeutic purposes, then therapeutic effectiveness is enhanced, but device complexity increases
Solution Approach 1:
The system is divided into separate functional modules: an auditory processing module that analyzes sound spectra, an olfactory output module with multiple aroma dispensers, and a mapping module that connects the two. This segmentation allows each component to be optimized independently while maintaining overall therapeutic effectiveness.
Solution Approach 2:
A computational mapping module serves as an intermediary between the auditory input system and olfactory output system. This mediator translates acoustic spectrum data into corresponding olfactory stimulus patterns, enabling integration without direct mechanical connection between the sensory modalities.
2Adaptability or versatility
If multiple sensory modalities are integrated simultaneously, then comprehensive therapeutic experience is achieved, but ease of operation decreases
Solution Approach 1:
The system automatically performs spectrum analysis and mapping without requiring manual intervention. The mapping module self-adjusts the olfactory output based on real-time auditory input, and the system adapts to individual user profiles autonomously, reducing the operational burden on users.
Solution Approach 2:
The system dynamically adjusts multiple parameters including aroma concentration, dispensing timing, and frequency based on the analyzed auditory spectrum and user profile. These parameter changes occur automatically, allowing the system to provide customized multi-sensory therapy without complex user input.
3Adaptability or versatility
If AI and spectrum analysis are used to convert between auditory and olfactory information, then customization capability is improved, but loss of information increases
Solution Approach 1:
The patent replaces direct sensory transduction with computational processing. Instead of attempting to physically convert sound waves into olfactory molecules, the system uses AI algorithms to analyze auditory spectra and generate corresponding olfactory patterns based on learned mappings, preserving information through computational rather than physical transformation.
Data Source
AI summary
A method includes receiving, by a computing system, olfactory information. The method includes converting, by the computing system, the olfactory information to auditory information.