Brain Control Interface Environmental Correlation Filtering
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Solution Overview
Problem
Brain control interfaces often detect false control commands due to external environmental stimuli, leading to undesired control of devices like lighting systems.
Innovation Solution
A brain control interface system that includes a sensor to detect environmental changes and a processor to determine if there is a temporal correlation between these changes and the user's brain activity. If a correlation is present, the system refrains from executing the control command.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If brain control interface detects brain activity to control devices, then device control capability is improved, but false positive detection increases due to external environmental stimuli
Solution Approach 1:
The patent introduces environmental sensors as intermediary components that detect external stimuli (light, sound, temperature) and use this information as a mediator to verify whether detected brain activity represents a genuine control command or a false positive. The sensor data acts as a reference to distinguish intentional commands from environmental interference.
Solution Approach 2:
The system implements feedback by continuously monitoring environmental characteristics and comparing them with detected brain activity patterns. When environmental changes correlate with brain activity, the system uses this feedback loop to validate or reject control commands, thereby reducing false positives while maintaining reliable device control.
2Reliability
If system filters out commands correlated with environmental changes, then false positives are reduced, but legitimate commands may be blocked
Solution Approach 1:
The patent applies partial filtering by not completely blocking all commands during environmental changes, but rather selectively filtering only those commands that show strong temporal correlation with environmental stimuli. This partial action approach maintains high command execution rate for legitimate commands while still reducing false positives effectively.
Solution Approach 2:
The system dynamically adjusts the threshold for command validation based on environmental conditions. When environmental variability is high, the system becomes more selective in validating commands. This parameter change approach allows the system to maintain high productivity under stable conditions while improving reliability during challenging environmental conditions.
Data Source
AI summary
A brain control interface system for controlling a controllable device located in an environment is disclosed. The brain control interface system comprising: a brain control interface configured to detect brain activity of a user indicative of a control command for controlling the controllable device, and to derive the control command from the brain activity, a sensor configured to detect changes of an environmental characteristic in the environment, a processor configured to: determine if there is a temporal correlation between a detected change of the environmental characteristic and the detected brain activity of the user, and if the temporal correlation is not present, control the controllable device according to the control command, if the temporal correlation is present, refrain from controlling the controllable device according to the control command.