Biometric Controller Biasing for Cognitive State Adaptation
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Solution Overview
Problem
Current systems for controlling mechanical systems, such as industrial machines and vehicles, do not effectively account for the cognitive state of the user, leading to potential operational risks due to fatigue, distraction, or impairment, which can result in accidents or inefficiencies.
Innovation Solution
A system that utilizes input devices and biometric monitors to detect the cognitive state of users, including emotional and physical states, to adjust the operation of physical controllers, such as autopilot engagement, sensitivity changes, or alerts, to ensure safe and efficient operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system continuously monitors user cognitive state using biometric sensors, then user safety and operational reliability are improved, but device complexity and energy consumption increase
Solution Approach 1:
The system performs preliminary detection of cognitive state parameters (attention level, fatigue, stress) before critical failures occur. Biometric sensors continuously monitor physiological indicators and predict potential safety issues, allowing preventive actions to be taken before the user's cognitive state deteriorates to a dangerous level.
Solution Approach 2:
The patent introduces biometric sensors and processing systems as intermediaries between the user and the mechanical system controls. These intermediaries translate physiological signals into actionable insights about cognitive state, enabling the system to adapt control parameters without requiring direct complex analysis of user condition.
2Productivity
If the system adapts controller parameters in real-time based on cognitive state, then operational efficiency is improved, but measurement precision and detection accuracy requirements increase
Solution Approach 1:
The system uses multi-functional biometric sensors that can detect multiple cognitive state parameters (attention, fatigue, stress) simultaneously through single physiological measurements. For example, eye tracking data serves multiple purposes: detecting attention level, identifying fatigue through blink patterns, and assessing stress through pupil response, thereby improving operational efficiency without proportionally increasing measurement complexity.
Solution Approach 2:
The patent implements continuous feedback loops where detected cognitive state parameters are fed back to dynamically adjust controller parameters. The system monitors physiological signals, processes them to determine cognitive state, and automatically modifies control system characteristics in real-time, creating a closed-loop adaptation mechanism that improves operational efficiency while managing detection requirements.
Data Source
AI summary
An embodiment of the invention provides a method to control a mechanical system based on the cognitive state of a user, where a first action is performed at an input device that is associated with the user. The cognitive state of the user is detected at the input device; and, a change to the first action is determined based on the cognitive state of the user. A controlled action is performed based on the recommended change. A system can include an input device associated with user, where a first action is performed at the input device. A processor connected to the input device detects the cognitive state of the user at the input device and determines a change to the first action based on the cognitive state of the user. A controller connected to the processor performs a controlled action based on the recommended change.