EEG-Based Earphone Channel Configuration via Brain Hemisphere Detection
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Solution Overview
Problem
Users face inefficiencies in distinguishing left and right earphones, leading to reduced listening experiences due to the conventional marking methods not aligning with modern lifestyles, resulting in wasted time.
Innovation Solution
A method and device for left and right brain recognition using EEG signals to determine brain hemispheres based on Power Spectral Density values of alpha bands, allowing for automatic earphone channel configuration according to the recognition results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional marking methods are used to distinguish left and right earphones, then users can identify the earphones, but it results in wasted time and reduced efficiency in modern fast-paced lifestyle
Solution Approach 1:
The system enables automatic identification of left and right earphones through EEG-based brain hemisphere recognition. The wearable device automatically detects which earphone is inserted in which ear by analyzing brain electrical signals, eliminating the need for manual identification by the user. This self-service approach resolves the contradiction by making the system automatically adapt to the user without requiring time-consuming manual intervention.
Solution Approach 2:
The patent replaces the mechanical/visual marking system (left/right labels on earphones) with a biological signal-based system (EEG brain electrical signals). By substituting the mechanical identification method with physiological signal detection, the system achieves automatic earphone differentiation without requiring users to visually inspect markings, thereby saving time while maintaining ease of operation.
2Productivity
If manual identification methods are used, then users can distinguish earphones, but it reduces listening experience and does not conform to modern fast-paced lifestyle
Solution Approach 1:
The system uses real-time feedback from EEG signals to automatically configure audio channels. By continuously monitoring brain electrical signals and comparing them against reference data, the system provides feedback to confirm correct earphone placement and automatically adjusts audio output accordingly. This feedback mechanism ensures both high productivity (automatic setup) and reliability (accurate channel configuration based on physiological response).
Solution Approach 2:
The patent implements preliminary action by pre-establishing reference brain electrical signal data for left and right hemispheres. Before actual use, the system captures and stores baseline EEG patterns, which are then used for rapid comparison during earphone insertion. This preliminary preparation enables instant automatic identification without requiring manual intervention during the actual earphone setup, thereby improving both efficiency and accuracy.
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
Facilitates automatic earphone setting, enhancing user experience by accurately identifying left and right brain hemispheres through EEG analysis, thereby streamlining the process and improving listening experiences.
Implementation Method 1
acquiring first brain electrical information of a first hemisphere of the user
Data Source
AI summary
The present application provides a left and right brain recognition method and device, and relates to the field of wearable devices. The method comprises: in response to that a user listens to an audio content meeting a predetermined condition, acquiring first brain electrical information of a first hemisphere of the user; and recognizing that the first hemisphere is a left brain or a right brain according to the first brain electrical information and reference information. The method and the device provide a left and right brain recognition method, facilitate a device that the user wears to perform automatic setting according to a recognition result, and enhance user experience.