Drowsiness Detection Using Brightness Correction
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Solution Overview
Problem
Existing drowsiness detection systems in vehicles are not robust enough to function independently of individual differences, such as circadian rhythms and cultural factors, leading to potential false corrections and inaccuracies in drowsiness assessment.
Innovation Solution
A device comprising a driver-activity sensor array, a brightness sensor, and a drowsiness model that corrects drowsiness values based on brightness levels, allowing for culture-independent drowsiness detection by using a brightness sensor to adjust evaluation thresholds and models, incorporating additional sensors like cameras and thermometers for comprehensive evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drowsiness detection systems use circadian rhythm-based corrections, then detection accuracy may be improved for specific groups, but the system becomes dependent on individual differences and cultural factors leading to false corrections
Solution Approach 1:
The patent extracts and removes the problematic circadian rhythm-based correction mechanisms from the drowsiness detection system. By eliminating the dependency on individual circadian patterns and cultural factors, the system achieves universal applicability without false corrections, while maintaining detection accuracy through alternative objective metrics.
2Reliability
If multiple sensors and correction modules are added to improve detection robustness, then detection reliability improves, but device complexity increases
Solution Approach 1:
The patent combines multiple detection functions into an integrated drowsiness detection device that simultaneously monitors steering behavior, driver activity, and environmental brightness. By merging these sensor functions into a unified system with centralized processing, the patent achieves reliable multi-parameter detection while avoiding the complexity of separate independent systems.
Solution Approach 2:
The detection device is designed with multi-functionality, using a single integrated system to perform multiple detection tasks: steering angle monitoring, driver activity sensing, brightness measurement, and drowsiness assessment. This universal approach improves reliability through comprehensive monitoring while reducing overall system complexity compared to multiple specialized devices.
Data Source
AI summary
In a method and a device for detecting the drowsiness of a driver in a motor vehicle, a drowsiness model is provided to determine a value characterizing the drowsiness of the driver as a function of at least one output quantity of a driver-activity sensor array. Moreover, the device for detecting drowsiness includes a brightness sensor as well as a correction model for correcting the value characterizing the drowsiness of the driver as a function of at least one output quantity of the brightness sensor.