Brain Information Filtering for Selective Multi-User Sharing
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Solution Overview
Problem
Existing brain-machine interface technologies do not facilitate the sharing or control of brain activity between multiple users, limiting the potential for collaborative brain information exchange.
Innovation Solution
An information processing device and method that includes a brain information obtaining unit, a filtering unit, and an output unit to select and share specific brain information among multiple users, utilizing brain electrodes and a control unit to process and output brain waves, enabling the conversion and sharing of relevant brain activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If brain information is shared among multiple users, then collaborative brain information exchange is enabled, but information security and privacy protection become problematic
Solution Approach 1:
The patent extracts and transmits only specific useful brain wave components (alpha waves, beta waves, gamma waves) while filtering out other components. This selective extraction enables sharing of relevant brain information while maintaining security by not transmitting complete or sensitive neural data.
Solution Approach 2:
The patent applies different processing and transmission qualities to different brain wave components. Specific frequency bands are enhanced and transmitted with higher quality while other components are filtered or reduced, allowing selective information sharing with appropriate privacy protection.
2Loss of information
If all brain information is transmitted, then complete brain activity data is shared, but data transmission efficiency and processing load increase
Solution Approach 1:
The system extracts only the essential brain wave components (alpha, beta, gamma waves) that carry meaningful information, discarding redundant data. This extraction maintains information quality while dramatically improving transmission efficiency and reducing processing requirements.
Solution Approach 2:
The patent transmits only the necessary portion of brain information (specific frequency bands) rather than complete brain activity data. This partial transmission approach achieves sufficient information sharing while optimizing transmission efficiency and reducing system load.
Data Source
AI summary
An information processing device includes a brain information obtaining unit that obtains brain information of a subject; a filtering unit that selects only specific information from the brain information obtained by the brain information obtaining unit; and an output unit that outputs the specific information, which is selected by the filtering unit, to a subject.