Drowsiness Prevention Device Using Psychological State Feedback
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Solution Overview
Problem
Conventional drowsiness prevention systems face delays in waking drivers due to the time required to determine the effectiveness of initial warnings, which can lead to delayed additional warnings and increased risk of accidents.
Innovation Solution
A drowsiness prevention device that includes a psychological state estimator and a controller, which assesses the driver's psychological state before and after the initial warning, allowing for a tailored second warning to be generated based on the changed psychological state, thereby reducing the need for prolonged drowsiness estimation and enabling earlier waking of the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system waits to determine the effectiveness of the initial warning before issuing a second warning, then the accuracy of drowsiness detection is improved, but the response time to wake the driver is delayed
Solution Approach 1:
The system performs preliminary estimation of the driver's psychological state before the first warning is issued, and again after the first warning. This preliminary assessment allows the system to proactively determine whether a second warning is needed without waiting for prolonged observation, thus reducing the time loss while maintaining detection accuracy through pre-assessment of drowsiness levels.
Solution Approach 2:
The system uses feedback from the driver's psychological state estimation both before and after the first warning to dynamically adjust the timing and necessity of the second warning. By continuously monitoring changes in psychological state as feedback, the system can make real-time decisions about warning issuance, balancing accuracy requirements with timely response to wake the driver.
2Reliability
If the system continuously monitors the driver's psychological state to determine warning effectiveness, then the reliability of drowsiness prevention is improved, but the device complexity increases
Solution Approach 1:
The monitoring system is segmented into distinct phases: initial psychological state estimation before the first warning, and subsequent estimation after the first warning. This segmentation allows the system to maintain high reliability through multiple assessment points without requiring continuous complex monitoring, as each segment focuses on specific decision-making moments rather than constant analysis.
Solution Approach 2:
The system performs psychological state estimation at critical moments (before and after warnings) rather than continuous excessive monitoring. This partial action approach maintains reliability by assessing the driver's state at key decision points without the complexity burden of constant monitoring, applying just enough measurement to ensure safety.
3Productivity
If the system issues a second warning based on both before and after psychological states, then the effectiveness of waking the driver is improved, but the information processing requirement increases
Solution Approach 1:
The system extracts only the essential psychological state information from the two estimation points (before and after first warning) that are most relevant to determining the need for a second warning. By taking out only the critical comparative data rather than processing all raw information, the system maintains high waking effectiveness while reducing the overall information processing burden to only the most significant changes in psychological state.
Data Source
AI summary
A drowsiness prevention device includes a psychological state estimator and a controller. The psychological state estimator estimates a psychological state of an occupant, based on a state of the occupant detected by a detection device. The controller causes an output device to output a first warning and a second warning which are for alerting the occupant. The psychological state estimator estimates a first psychological state of the occupant which is before the first warning is output and a second psychological state of the occupant which is after the first warning is output. The controller determines details of a second warning, based on only the second psychological state or based on both the first psychological state and the second psychological state.