Driver Awareness Device Using Body Motion Applications
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Solution Overview
Problem
Existing driver awareness systems fail to effectively improve driver awareness levels beyond short-term effects and do not detect absentminded states, which can precede drowsy driving, thereby not adequately ensuring driving safety.
Innovation Solution
An awareness level improvement device that includes an input portion, a determination portion, and a controller to detect absentminded states and execute applications such as body motion prompts to improve driver awareness, including safety confirmations and vocal responses, thereby preventing drowsy driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cold air is blown toward the driver when drowsy driving is detected, then the awareness level of the driver increases temporarily, but the effect does not last a long time and the system cannot prevent absentminded states
Solution Approach 1:
The system detects absentminded states before they progress to drowsy driving and executes applications in advance to maintain driver alertness. By identifying the absentminded state early (when awareness level is between normal and drowsy levels), the system can apply corrective measures before the driver actually becomes drowsy, thereby extending the effective duration of awareness improvement.
Solution Approach 2:
The system dynamically adjusts the type and intensity of applications executed based on the detected awareness level. Different applications (body motion, visual, auditory, tactile) are selected and adjusted according to the driver's current state, making the system adaptable and maintaining its effectiveness over longer periods by responding to changing driver conditions.
2Reliability
If the system only detects drowsy driving states, then the detection is simple, but the system cannot detect absentminded states which precede drowsy driving
Solution Approach 1:
The detection system segments driver awareness levels into distinct stages: normal state, absentminded state, and drowsy driving state. By dividing the continuous spectrum of driver alertness into discrete detectable levels, the system can identify and respond to absentminded states separately from full drowsiness, improving detection accuracy without requiring overly complex measurement systems.
Solution Approach 2:
The system uses multiple detection methods (eye closure detection, head position detection, steering operation analysis) and applies them partially - only activating certain detection mechanisms based on the current assessment of driver state. This approach enables detection of absentminded states with sufficient accuracy while avoiding the complexity of continuously deploying all detection methods at full capacity.
Data Source
AI summary
An awareness level improvement device has an input portion, a determination portion, and a controller. Data related to the awareness level of the driver is input into the input portion. The determination portion determines whether the driver is in a absentminded state based on the data input into the input portion. The controller controls an execution portion to execute an application improving the awareness level of the driver when the determination portion determines that the driver is driving in the absentminded state. The application includes a body motion application that prompts the driver to perform a body motion.