Sensory Parameter Conversion for Human-Centered Tactile Control
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Solution Overview
Problem
Existing sensory presentation systems, 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 sensory presentations that reflect individual user preferences and perceptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a tactile effect is determined based on audio signal features alone, then the tactile presentation can be generated, but it fails to reflect human sensitivity accurately
Solution Approach 1:
The patent introduces a conversion model as an intermediary component that translates sensitivity parameters into physical parameters. This mediator layer bridges the gap between human sensory perception and physical stimulus generation, enabling accurate tactile presentation while maintaining system modularity and manageable complexity.
Solution Approach 2:
The patent transforms the problem by changing parameters from direct audio signal processing to sensitivity parameter-based control. By introducing sensitivity parameters as an intermediate representation and using conversion models to map these to physical parameters, the system achieves more accurate tactile presentation that reflects human sensitivity characteristics.
2Reliability
If sensitivity parameters are converted into physical parameters using a conversion model, then sensory presentation reflecting human sensitivity is achieved, but the system requires complex conversion processes
Solution Approach 1:
The patent segments the sensory control process into distinct modules: sensitivity parameter reception, conversion model processing, and sensory presentation signal generation. This segmentation allows each component to be optimized independently, improving overall reliability while managing complexity through modular architecture.
Solution Approach 2:
The conversion model is prepared in advance with pre-established relationships between sensitivity parameters and physical parameters. This preliminary action enables the system to quickly and reliably convert parameters during operation without requiring complex real-time calculations, thus improving reliability while keeping the runtime process simple.
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.