Sleep-State Brain Control Switching for Robot Operation
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Solution Overview
Problem
Existing brain-machine interface technologies do not account for operating a robot when the user is in a sleep state, particularly distinguishing between different sleep stages and utilizing brain information accordingly.
Innovation Solution
An operation control device and method that determines a user's sleep state and switches between modes: awake mode using brain information, lucid dream mode using motor cortex information, and auto mode using pre-set computer programs, enabling operation of an operation target based on the user's state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If brain information is used to operate the robot, then the operation can be performed when the user is awake, but the robot cannot be operated when the user is in sleep state
Solution Approach 1:
The system dynamically switches between two operational modes based on the user's state: using brain information when awake and alternative information sources when in sleep state. This dynamic adaptation allows the system to maintain operational capability across different user states while ensuring reliability in each state through appropriate information sources.
Solution Approach 2:
The system changes the information source parameter based on the detected user state. When the user is awake, brain information is used as the control input; when the user is in sleep state, the system switches to using other information sources. This parameter change enables versatile operation across different states while maintaining reliability through state-appropriate information sources.
2Measurement precision
If the system continuously monitors brain information to determine sleep state, then accurate state detection is achieved, but power consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system performs periodic sleep state determination at relevant transition points. The brain information is analyzed to detect state changes from awake to sleep and vice versa, rather than maintaining constant monitoring. This periodic approach maintains detection accuracy for state transitions while significantly reducing overall power consumption during stable states.
3Adaptability or versatility
If the system switches between multiple operation modes, then adaptability to different user states is improved, but system complexity increases
Solution Approach 1:
The control system is segmented into distinct functional modules: a sleep state determination unit that analyzes brain information, and a mode switching unit that transitions between operational modes based on the determined state. This segmentation allows the system to achieve multi-mode adaptability while managing complexity through modular design, where each module has a specific function and can be independently optimized.
Data Source
AI summary
An operation control device includes a brain information obtaining unit that obtains brain information of a user; a sleep determining unit that, based on the brain information obtained by the brain information obtaining unit, determines whether or not the user is in the sleep state; and a mode switching unit that sets a first-type mode in which, when the sleep determining unit determines that the user is in the awake state, the operation target is operated based on the brain information of the user, and sets a second-type mode in which, when the sleep determining unit determines that the user is in the sleep state, the operation target is operated based on the information other than the brain information of the user.