Biological Signal Gating for Intent-Aware Equipment Control
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Solution Overview
Problem
Existing equipment control systems using biological information can inadvertently operate equipment when the user has no intention of doing so, leading to unintended device activation.
Innovation Solution
An information processing device with a processor that distinguishes between intended and unintended biological signals by using specific circumstances, such as sleep or meditation states, to prevent equipment operation unless explicit intent is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If equipment is operated using biological information from the user, then equipment operation capability is improved, but unintended equipment activation occurs when the user has no intention of operating
Solution Approach 1:
The system measures multiple types of biological information simultaneously (brain waves, eye movements, muscle signals) and integrates them to determine user intent. This multi-source feedback mechanism allows the system to cross-validate signals and distinguish between intentional and unintentional biological patterns, thereby maintaining high automation while improving reliability by preventing unintended activations
Solution Approach 2:
The system changes the parameters used for operation detection by considering multiple biological signal types and their combinations rather than relying on a single signal type. By analyzing the presence or absence of specific biological information patterns across different modalities, the system can adjust its operation threshold dynamically, enabling reliable distinction between intended and unintended operations
2Measurement precision
If multiple biological information types are measured to distinguish user intent, then operation accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the biological information processing into distinct modules: brain wave measurement, eye movement measurement, muscle signal measurement, and integration processing. Each module independently processes its specific signal type, and the results are combined in a final decision stage. This segmentation reduces overall system complexity by making each component manageable and independent while maintaining high measurement precision through comprehensive data collection
Data Source
AI summary
An information processing device includes a processor configured to not operate equipment according to biological information indicating an operation item of the equipment in a case where the biological information not expected to be produced from a user under specific circumstances is measured from the user.