Ear-side EEG Apparatus for Driver Attention Detection
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Solution Overview
Problem
Existing methods for detecting driver attention during safe driving are inconvenient and prone to inaccurate results, especially when collecting electroencephalogram signals, due to the complexity of driving environments and the need for multiple sensors, leading to high costs and potential deviations in attention status determination.
Innovation Solution
A method and system that collect electroencephalogram signals from the ear side using an ear-side wearing apparatus with multiple signal measurement units, determining impedance to ensure proper attachment, and processing signals through potential difference processing to remove noise, utilizing machine learning models like SVM classifiers to accurately determine attention types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electroencephalogram signals are collected using traditional sensor systems, then attention detection can be performed, but the system complexity and cost increase significantly
Solution Approach 1:
The patent extracts the electroencephalogram signal collection function from the complex traditional sensor system and implements it specifically through ear-side wearing apparatus. This extraction approach maintains the essential attention detection capability while significantly reducing system complexity by focusing on a specific, effective signal source rather than using multiple sensors throughout the vehicle cabin.
Solution Approach 2:
The ear-side wearing apparatus serves as an intermediary device that collects electroencephalogram signals directly from the driver's ear. This intermediary approach provides a simplified interface between the driver and the attention detection system, reducing the need for complex sensor arrays and signal processing systems while maintaining detection accuracy.
2Reliability
If multiple sensors are installed in the automobile system for attention detection, then more comprehensive data can be collected, but the cost and device complexity increase
Solution Approach 1:
The patent extracts the essential attention detection function from a multi-sensor system and implements it through a single ear-side wearing apparatus. This extraction maintains reliable attention status detection by focusing on the electroencephalogram signals from the ear, which are sufficient for determining driver attention states without requiring multiple expensive sensors.
Solution Approach 2:
The ear-side wearing apparatus represents a cost-effective alternative to expensive multi-sensor systems. By using a simple, affordable wearable device that collects electroencephalogram signals, the system achieves reliable attention detection without the high manufacturing costs associated with installing multiple professional-grade sensors in the vehicle.
3Measurement precision
If traditional signal collection methods are used, then attention detection can be performed, but the convenience and feasibility during driving are reduced
Solution Approach 1:
The ear-side wearing apparatus acts as a convenient intermediary that the driver can simply wear like earphones or earplugs. This eliminates the need for complex sensor installations or adjustments during driving, making the system easy to operate while maintaining accurate electroencephalogram signal collection for attention detection.
Solution Approach 2:
The ear-side wearing apparatus is designed to be self-sufficient, collecting electroencephalogram signals directly from the driver's ear without requiring external equipment or complex setup. The driver simply wears the apparatus, and it automatically performs signal collection and processing, providing both convenience and accuracy during driving.
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
This approach allows for convenient, accurate, and cost-effective attention detection, ensuring accurate signal collection and analysis, even in moving states, thereby enhancing driving safety by providing timely alerts when attention is distracted.
Implementation Method 1
determining whether an impedance between two of the ear-side signal measurement units is less than a preset threshold
Implementation Method 2
processing signals through potential difference processing to remove noise
Data Source
Figure 1~2a
Figure 2b
Figure 2c~3
AI summary
This application provides a user attention detection method and system. The method includes: collecting an electroencephalogram signal of a user from an ear side by using an ear-side wearing apparatus (1100); when it is determined that the ear-side wearing apparatus (1100) can collect electroencephalogram signals from both a left ear canal and a right ear canal of the user, performing differential processing on the electroencephalogram signals from the left ear canal and the right ear canal of the user to obtain an electroencephalogram signal; and detecting an attention type of the user based on the electroencephalogram signal. According to the method and the system, the electroencephalogram signals of the user can be obtained from the ear canals more conveniently and quickly, and an attention status of the user can be detected anytime and anywhere. The method and the system can be applied to the self-driving field to intelligently detect attention of a driver, to give a warning or perform driving mode switching for the user based on a detection result.