Brain Activity Value Calculation for Individualized Training Selection
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Solution Overview
Problem
Existing brain activity measurement systems fail to effectively analyze and utilize brain activity states in consideration of the various natures and attributes of user behaviors, making it difficult to select appropriate brain training content tailored to individual users.
Innovation Solution
A selection system that includes a storage unit for detection values, an identifier for check content, and a calculation unit to determine brain activity values, which are used by a selection unit to choose suitable brain training content based on the user's brain activity state during specific check content performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If brain activity measurement is performed using bloodflow rate detection, then brain activity states can be measured, but it becomes difficult to analyze and select appropriate brain training content tailored to individual users
Solution Approach 1:
The patent applies parameter changes by transforming raw bloodflow rate detection values into standardized brain activity values through normalization processing. This allows the system to convert physiological measurements into comparable parameters that can be used for individualized assessment and training content selection, resolving the contradiction between measurement capability and adaptability.
Solution Approach 2:
The patent segments the brain activity analysis by dividing users into different groups based on their brain activity characteristics. By segmenting users according to their measured brain activity patterns, the system can provide tailored training content for each segment, thereby achieving individualized training selection from the measured brain activity data.
2Adaptability or versatility
If multiple categories of brain training content are provided, then more options are available for users, but it becomes difficult to select the suitable content for each user
Solution Approach 1:
The patent implements feedback by using measured brain activity values to automatically determine and recommend appropriate training content categories. The system provides feedback loops where user performance and brain activity measurements inform subsequent content selection, simplifying the choice process while maintaining content variety suitable for each user's needs.
Solution Approach 2:
The patent applies dynamics by making the training content selection adaptive and changeable based on measured brain activity. The system dynamically adjusts content recommendations according to real-time or historical brain activity data, allowing the selection process to evolve with user progress rather than being static or overly complex.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the analysis and selection of appropriate brain training content for users by calculating brain activity values from bloodflow rate detection, thereby tailoring training to individual brain activity states.
Implementation Method 1
a head region attaching device called a headset and provided with a near infrared-ray irradiation unit and a near infrared-ray detection unit by detecting variations in bloodflow rate on a brain surface
Data Source
AI summary
The present invention provides a system for selecting appropriate brain-training content for each user. The selection system includes: a storage unit for storing detection values obtained by detecting blood flow rates in the head of a user, identifiers for predetermined test content to be performed by the user at the time of the detection of the detection values, and an identifier for the user in association with one another; a calculation unit for calculating, on the basis of the detection values stored in the storage unit, brain-activity values indicating the degree of brain-activity of the user when the predetermined test content is performed by the user; and a selection unit for selecting, on the basis of the brain-activity values calculated by the calculation unit during performance of the predetermined test content, brain-training content to be performed by the user.


