Vehicle Doze-Off Warning Using Eye-Closure Time Danger Index
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Solution Overview
Problem
Existing doze-off state detection systems face challenges in accurately determining the danger of doze-off driving due to individual deviations in the correlation between eyeblink time and frequency, and degree of drowsiness, which affects their reliability and sensitivity in warning drivers of potential hazards.
Innovation Solution
A doze-off warning apparatus that measures and compares the duration of eye closure time and eye open time, using exponentiation and time-series moving averages to calculate a danger index, which is then compared to a predetermined threshold to trigger a warning signal, thereby enhancing detection sensitivity and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If frequency distribution of eyeblink time is used to determine degree of drowsiness, then detection coverage is improved, but individual deviations reduce measurement precision
Solution Approach 1:
The patent changes the detection parameter from eyeblink frequency distribution to eye-closure time duration. By measuring how long the eyes remain closed during each blink cycle rather than analyzing frequency patterns, the system achieves consistent correlation with drowsiness level across different individuals, eliminating the individual deviation problem while maintaining broad detection coverage
Solution Approach 2:
The patent replaces the complex frequency analysis mechanism with a simpler time-duration measurement mechanism. Instead of calculating frequency distributions and comparing them against learned patterns, the system directly measures eye-closure time duration, which provides a more reliable and individual-universal indicator of drowsiness
2Measurement precision
If eye-closure time is emphasized through exponentiation, then detection sensitivity is improved, but calculation complexity increases
Solution Approach 1:
The patent applies exponentiation to the eye-closure time parameter to non-linearly amplify its significance in the danger index calculation. This mathematical transformation increases detection sensitivity by giving greater weight to prolonged eye closure events, while the overall calculation remains computationally simple and suitable for real-time implementation in vehicle systems
3Reliability
If time-series moving averages are applied to eye-open and eye-closure times, then reliability of danger determination is improved, but processing time increases
Solution Approach 1:
The patent pre-calculates and stores time-series moving averages of eye-open time and eye-closure time as the driver operates the vehicle. By maintaining these running averages in real-time rather than computing them from scratch during danger assessment, the system achieves reliable and stable danger determination while minimizing processing time and computational overhead
Data Source
AI summary
The present invention provides a doze-off warning apparatus for a vehicle, comprising: a sensor measuring a driver's eye-open time (to) and an eye-closure time (tc); a doze-off driving determination part determining degree of danger based on the measured eye-open time (to) and the eye-closure time (tc) and comparing the determined degree of danger with a predetermined threshold (Kt); and an alarm part providing a warning signal with the driver when the degree of danger exceeds the predetermined threshold (Kt).