EEG-Based Music Selection for User Irritability Regulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional techniques fail to provide personalized music selection based on individual emotional states, particularly for individuals with difficulty regulating their emotions, such as the elderly or dementia patients, leading to unaddressed irritability issues.
Innovation Solution
An information processing system that utilizes electroencephalographic signals to determine a user's irritability level, selects appropriate music content, and adjusts playback based on the user's emotional response to effectively calm the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If music is selected based on general emotion categories, then the system is simple to operate, but it cannot provide personalized regulation for individuals with difficulty regulating emotions
Solution Approach 1:
The system continuously measures electroencephalographic signals from the user's brain waves, processes this feedback to determine irritability levels, and automatically adjusts music selection based on the measured emotional state. This closed-loop feedback mechanism enables personalized adaptation without requiring manual input from the user.
Solution Approach 2:
The system serves itself by automatically detecting the user's emotional state through brain wave measurement and autonomously selecting appropriate music content. The user simply needs to wear the measurement device, and the system handles all processing and selection without requiring active participation or manual control from the user.
2Adaptability or versatility
If personalized music selection is implemented based on individual emotional states, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The patent introduces an information processing apparatus as an intermediary between the electroencephalographic measurement device and the music reproduction system. This intermediary component processes the brain wave signals, determines irritability levels, and selects appropriate music content, thereby managing the system complexity in a modular fashion.
Solution Approach 2:
The information processing apparatus performs multiple functions including signal processing, emotional state determination, and content selection within a single integrated system. This multi-functionality approach consolidates complexity into one universal component rather than requiring separate specialized devices for each function.
3Device complexity
If conventional music reproduction is used, then the system is simple, but it cannot address irritability issues in dementia patients or elderly users
Solution Approach 1:
The system changes the parameters of music selection from generic categories to specific emotional state-based parameters. By measuring electroencephalographic signals and determining irritability levels, the system dynamically adjusts music characteristics to match the user's current emotional state, thereby improving reliability for specific populations like dementia patients.
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
The system allows for personalized music selection that effectively reduces user irritability by selecting and adjusting content in real-time based on electroencephalographic feedback.
Implementation Method 1
acquiring irritability information relating to irritability of a predetermined user, based on an electroencephalographic signal measured by an electroencephalographic measurement device worn by the predetermined user
Data Source
AI summary
A program causes a processor included in an information processing apparatus to perform: acquiring irritability information relating to irritability of a predetermined user, based on an electroencephalographic signal measured by an electroencephalographic measurement device worn by the predetermined user; determining whether or not the irritability information satisfies a predetermined condition relating to a degree of anger set for the predetermined user; selecting at least one content from a dataset that is associated with the predetermined user and that includes one or more contents when the predetermined condition is satisfied; and determining a calming effect of the content, based on difference information about the irritability information acquired during output of the selected content.