ECG Sensor Driver Attention Detection
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Solution Overview
Problem
Existing methods for detecting a driver's attention level, such as analyzing images and vehicle behavior, do not accurately measure attention levels associated with biometric signals, especially under conditions like strong external light or sensor errors.
Innovation Solution
An apparatus and method using electrodes in a vehicle to measure microcurrents and calculate the standard deviation of NN interval (SDNN) from electrocardiogram (ECG) signals to determine the driver's attention level, with visual, audible, and tactile alerts, and adjustments to warning systems based on calculated attention levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image analysis methods are used to detect driver state, then the system can capture facial movements and reactions, but the detection accuracy deteriorates under strong external light or when the driver's face departs from the camera range
Solution Approach 1:
The patent replaces optical/image-based detection systems with an electrical/biometric detection system. Specifically, it uses ECG sensors to detect electrical signals from the driver's heart, substituting the mechanical/optical camera system with an electrical signal-based measurement system that is not affected by lighting conditions or facial positioning
Solution Approach 2:
The patent introduces an intermediary biometric parameter (ECG signal) that indirectly reflects the driver's attention level. Instead of directly observing facial features, the system measures the electrical activity of the heart, which serves as a reliable intermediary indicator of the driver's physiological state and attention level
2Adaptability or versatility
If sensor-based reaction analysis is used to detect driver state, then the system can obtain vehicle behavior information, but the detection accuracy deteriorates when sensor errors occur
Solution Approach 1:
The patent introduces an intermediary biometric parameter (ECG signal) that indirectly reflects the driver's attention level. Instead of directly observing facial features, the system measures the electrical activity of the heart, which serves as a reliable intermediary indicator of the driver's physiological state and attention level
Solution Approach 2:
The patent replaces sensor-based mechanical detection systems with biometric electrical signal detection. By measuring the driver's ECG signals directly, the system substitutes unreliable vehicle sensor data with direct physiological measurements from the driver's body
3Ease of manufacture
If existing driver state detection methods are used, then the system can identify driver state based on indirect information, but the accuracy of detecting attention level (biometric signal) deteriorates
Solution Approach 1:
The patent replaces indirect detection methods with direct biometric measurement. By installing ECG sensors that directly contact the driver's body (e.g., on the steering wheel or seat), the system substitutes indirect inference methods with direct physiological signal measurement, achieving both ease of implementation and high accuracy
Solution Approach 2:
The patent introduces an intermediary biometric parameter (ECG signal) that indirectly reflects the driver's attention level. Instead of directly observing facial features, the system measures the electrical activity of the heart, which serves as a reliable intermediary indicator of the driver's physiological state and attention level
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
Accurately detects the driver's attention level, providing timely and appropriate warnings to improve safety by integrating with advanced driver assistance systems and autonomous vehicle control.
Implementation Method 1
obtain microcurrent (e.g., an action current according to cardiac contraction) which flows in the body of the driver by means of electrodes provided in the vehicle
Data Source
AI summary
An apparatus and a method for detecting an attention level of a driver are provided. The apparatus includes an electrocardiogram (ECG) sensor that measures ECG of a driver and a controller that calculates a standard deviation of NN interval (SDNN) quantifying an attention level of the driver using the ECG measured by the ECG sensor and detects the attention level of the driver based on the calculated SDNN.


