Sensory Parameter Conversion Models for Human-Perceived Tactile Output
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Solution Overview
Problem
Existing sensory presentation technologies, such as those described in Japanese Unexamined Patent Application Publication No. 2019-220168, fail to adequately reflect human sensitivity in tactile presentations.
Innovation Solution
A sensory control system and method that includes a conversion model capable of converting sensitivity parameters into physical parameters correlated with human sensitivity, allowing for the generation and output of sensory presentations that reflect human perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensory presentation is adjusted by directly controlling physical parameters without considering human sensitivity, then the control process is simple, but the sensory presentation does not reflect human sensitivity
Solution Approach 1:
The patent introduces sensitivity parameters as an intermediary between physical parameters and human perception. The control system first converts physical parameters to sensitivity parameters using a conversion model, then uses these sensitivity parameters to adjust the sensory presentation, thereby making the system reflect human sensitivity while maintaining manageable complexity
Solution Approach 2:
The patent transforms the control approach by changing from direct physical parameter control to sensitivity parameter control. The conversion model establishes relationships between physical parameters and sensitivity parameters, allowing the system to control sensory presentation based on human-perceived attributes rather than raw physical quantities
2Measurement precision
If a conversion model is introduced to convert sensitivity parameters into physical parameters, then the sensory presentation reflects human sensitivity, but the system complexity increases
Solution Approach 1:
The conversion model is constructed in advance through learning from correspondence information between physical parameters and sensitivity parameters. This preliminary action creates a ready-to-use transformation framework that can be applied during sensory presentation control without real-time complexity
Solution Approach 2:
The conversion model creates a virtual representation (copy) of the relationship between physical parameters and human sensitivity. Instead of directly measuring complex human sensory responses in real-time, the system uses the pre-learned conversion model to simulate and predict sensitivity parameters from physical parameters
Data Source
AI summary
A sensory control method includes a step of receiving, a step of converting, and a step of outputting. In the step of receiving, a sensitivity parameter is received. In the step of converting, the received sensitivity parameter is converted into, among a plurality of physical parameters included in physical properties relating to a sensory presentation, a physical parameter correlated with the sensitivity parameter. In the step of outputting, a sensory presentation signal based on the physical parameter obtained as a result of the conversion is output.