Driver Drowsiness Notification Using Accumulated Alert Thresholds
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Solution Overview
Problem
Existing drowsiness detection systems often misestimate a driver's drowsiness level, leading to unnecessary drowsiness sign notifications and driver annoyance.
Innovation Solution
A drowsiness sign notification system that includes a driver monitor and controller to estimate drowsiness levels, accumulate drowsiness points, and determine when to provide notifications based on a predetermined threshold, while considering frequency distribution and reliability to minimize misestimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drowsiness level is estimated based on complicated actions of driver while driving, then drowsiness detection capability is improved, but misestimation occurs and unnecessary notifications are given
Solution Approach 1:
The drowsiness level is segmented into multiple discrete levels (first level through fourth level) representing different degrees of drowsiness. This segmentation allows the system to categorize driver state into manageable stages rather than attempting continuous measurement, reducing misestimation while maintaining detection capability.
Solution Approach 2:
The system performs preliminary classification of driver actions into categories corresponding to different drowsiness levels before making final determination. By pre-defining action patterns for each level and accumulating evidence over time, the system reduces impulsive misestimation and unnecessary notifications.
2Reliability
If drowsiness sign notice is given when estimated drowsiness exceeds certain level, then driver safety is improved, but annoyance sense to driver increases due to unnecessary timing
Solution Approach 1:
The system accumulates drowsiness points over time before triggering notification, rather than responding immediately to single threshold crossings. This preliminary accumulation phase filters out transient states and reduces unnecessary notifications, decreasing driver annoyance while maintaining safety alerts for genuine drowsiness.
Solution Approach 2:
The system uses feedback from accumulated drowsiness points to dynamically adjust notification timing. By continuously monitoring the accumulation trend and comparing against thresholds, the system provides feedback-based decision making that distinguishes between temporary fluctuations and sustained drowsiness, reducing false alarms.
3Measurement precision
If threshold for determining drowsiness is reset frequently, then detection sensitivity is improved, but unnecessary threshold resetting occurs causing system instability
Solution Approach 1:
The system performs preliminary evaluation of driving suspension necessity before resetting the threshold. By checking whether driving is actually suspended and evaluating the need for reset, the system avoids unnecessary threshold changes that would cause instability, while maintaining sensitivity when reset is truly needed.
Data Source
AI summary
A drowsiness sign notification system that gives a drowsiness sign notice to a driver that shows a drowsiness sign includes a driver monitor and a controller. The driver monitor detects the driver state being a state of the driver. The controller executes a drowsiness level estimation process in which a drowsiness level of the driver from a plurality of drowsiness levels based on the driver state. And, the controller executes an accumulation process in which a drowsiness point that is numerical value corresponding to the drowsiness level estimated in the drowsiness level estimation process is accumulated. Then, when an accumulation value of the drowsiness point calculated in the accumulation process exceeds a predetermined threshold, the controller determines that the driver shows the drowsiness sign.