Neurofeedback Apparatus for Targeted Brain Wave Analysis
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Solution Overview
Problem
Current neurofeedback systems lack the capability to analyze brain waves according to specific user abilities or symptoms and perform targeted training to enhance brain functions effectively.
Innovation Solution
An information processing apparatus that selects an improvement target state based on user input, acquires brain wave data, identifies the state using associated analysis methods, and notifies the user through appropriate notification methods to facilitate tailored training for improving brain functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single brain wave analysis method is used for all users, then the device complexity is reduced, but the adaptability to different user abilities and symptoms deteriorates
Solution Approach 1:
The patent segments the brain wave analysis by dividing it into multiple analysis methods, each corresponding to specific user states (symptoms or abilities). The system selects and applies only the relevant analysis method based on the user's selected improvement target, rather than implementing all analysis methods simultaneously. This segmentation allows the system to be adaptable to different user needs while maintaining manageable complexity through selective application.
Solution Approach 2:
The system dynamically selects the appropriate brain wave analysis method based on the user's selected improvement target state. The analysis method is not fixed but changes dynamically according to the user's specific needs (e.g., selecting different analysis methods for different symptoms or abilities). This dynamic adaptation enables the system to provide personalized neurofeedback without requiring all analysis methods to be active simultaneously, thus managing complexity.
2Adaptability or versatility
If multiple brain wave analysis methods are provided for different user states, then the adaptability to different abilities and symptoms is improved, but the device complexity increases
Solution Approach 1:
The system performs preliminary action by pre-defining multiple brain wave analysis methods and storing them in association with specific user states (symptoms or abilities) before actual use. When a user selects an improvement target state, the system has already prepared the corresponding analysis method, eliminating the need for complex real-time decision-making or dynamic generation of analysis methods. This preliminary preparation reduces operational complexity while maintaining high adaptability.
Solution Approach 2:
The system uses feedback mechanisms where the user's selection of an improvement target state feeds back into the system, which then automatically selects and applies the corresponding pre-defined brain wave analysis method. This feedback loop ensures that the correct analysis method is applied without requiring complex manual configuration, thereby managing device complexity while maintaining adaptability to different user states.
3Measurement precision
If brain wave analysis is performed without selecting a specific improvement target state, then the processing speed is improved, but the measurement precision of brain wave state identification deteriorates
Solution Approach 1:
The system dynamically adjusts the brain wave analysis process based on the user's selected improvement target state. When a specific state is selected, the system activates the corresponding specialized analysis method, which provides high measurement precision for that particular state. The system remains ready to process brain waves quickly but only performs detailed analysis when a specific target is selected, thus balancing processing speed with measurement precision through dynamic adaptation.
Data Source
AI summary
An information processing apparatus includes a storage that stores analysis method information indicating an analysis method of brain waves of a user and notification method information indicating a method for notifying a state of brain waves in association with each of a plurality of user states indicating a symptom or ability of the user, a selection part that selects an improvement target state that is a user state that is to be improved by a target user, an acquisition part that acquires brain wave information of the target user, a state identification part that identifies a state of brain waves indicated by the brain wave information according to an analysis method associated with the selected improvement target state, and a notification part that notifies the target user of the state of the brain waves on the basis of the notification method associated with the selected improvement target state.