Brain Information Transmission with Adaptive BMI Data Rate Control
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Solution Overview
Problem
Existing brain information transmission systems face challenges in smoothly performing intention conveyance in real time among multiple users due to the potential overload of brain information exceeding the processing capacity of individual users.
Innovation Solution
A brain information transmission system that includes BMI devices and a control device to calculate each user's processing capacity based on brain activity, adjusting transmission speed according to individual processing capabilities, and inserting invalid information to manage information flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If brain information is transmitted at high speed among multiple users, then intention conveyance efficiency is improved, but information overload occurs exceeding user processing capacity
Solution Approach 1:
The transmission speed of brain information is made dynamic and adjustable based on each user's measured processing capacity. The system continuously adapts transmission parameters to match individual cognitive limits, allowing efficient information flow without overwhelming any single user's brain processing ability.
Solution Approach 2:
The system changes transmission parameters (speed, volume, frequency) based on measured brain processing capacities. By adjusting these parameters according to individual user characteristics, the system optimizes intention conveyance efficiency while preventing information overload on any user.
2Loss of time
If brain information transmission is performed in real-time among multiple users, then communication responsiveness is improved, but processing capacity limitations cause interruptions
Solution Approach 1:
The system performs preliminary measurement of each user's brain processing capacity before actual intention conveyance begins. This advance characterization allows the system to pre-calculate appropriate transmission parameters, ensuring real-time communication can proceed smoothly without interruptions due to processing bottlenecks.
Solution Approach 2:
The system uses feedback from brain activity measurements to continuously monitor and adjust transmission parameters. By measuring actual processing capacity in real-time and adapting transmission accordingly, the system maintains both responsiveness and reliability of intention conveyance among multiple users.
Data Source
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AI summary
A brain information transmission system is a brain information transmission system that includes a plurality of BMI devices each of which performs intention conveyance based on brain information among a plurality of users, and includes a processing unit configured to calculate a processing capacity of each of the users with respect to the brain information based on a degree of activity of the brain of each of the users indicated when a common stimulus is provided to the brain of each of the users.