BMI Brain Information Flow Control for Multi-User Intention Conveyance
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Solution Overview
Problem
Existing brain-machine interface (BMI) systems face challenges in smoothly conveying intentions among multiple users in real time 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 capacities, and inserting invalid information to manage information flow, ensuring real-time intention conveyance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If brain information is transmitted at high speed among multiple users, then real-time intention conveyance is achieved, but the processing capacity of individual users is exceeded causing information overload
Solution Approach 1:
The system dynamically adjusts the transmission speed parameter based on each user's measured processing capacity. By changing the transmission speed parameter to match individual brain processing capabilities, the system achieves real-time intention conveyance without causing information overload, thus resolving the contradiction between transmission speed and conveyance smoothness
Solution Approach 2:
The system measures each user's brain processing capacity in real-time and uses this feedback to adjust the information transmission rate. This closed-loop feedback mechanism ensures that transmission speed adapts to individual processing capacities, preventing information overload while maintaining real-time communication effectiveness
2Productivity
If the amount of brain information transmitted per unit time is increased, then intention conveyance efficiency is improved, but the user's processing capacity is exceeded
Solution Approach 1:
The system adjusts the information transmission rate parameter according to each user's processing capacity measurements. By optimizing this parameter, the system maximizes intention conveyance efficiency while keeping the transmission amount within each user's processing capacity, thereby preventing information overload
Solution Approach 2:
The transmission rate is made dynamic rather than static, adjusting in real-time based on each user's measured processing capacity. This dynamic adaptation allows the system to optimize conveyance efficiency for each user while automatically preventing information overload by reducing transmission when capacity is exceeded
Data Source
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.


