Driver Abnormality Detection Using Motion, Biometric, and Vehicle Behavior
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Solution Overview
Problem
Existing abnormality detection devices for vehicle drivers struggle to accurately and early detect driver abnormalities with high precision, which is crucial for ensuring vehicle safety.
Innovation Solution
An abnormality detection device that integrates an input unit to collect motion information, biometric information, and vehicle behavior information, and a detection unit to identify abnormal signs based on this data, with a determination unit to assess whether the driver is in an abnormal state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a camera is used to detect driver posture and face direction, then the device can detect driver abnormality, but the detection accuracy and early detection capability are insufficient
Solution Approach 1:
The patent combines multiple detection methods (camera-based posture/face detection, biometric information detection, and vehicle behavior detection) into a single integrated abnormality detection system. This merging of multiple detection approaches enables more accurate and reliable early detection of driver abnormalities compared to using a single method alone.
Solution Approach 2:
The detection unit is designed to perform multiple detection functions simultaneously: detecting driver posture, face direction, biometric information, and vehicle behavior. This multi-functional approach allows the system to comprehensively assess driver condition from multiple angles, improving both detection accuracy and early detection capability.
2Measurement precision
If multiple types of information (motion, biometric, behavior) are integrated for detection, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent divides the abnormality detection system into distinct functional modules: an input unit for collecting multiple types of information (motion, biometric, vehicle behavior), a detection unit for processing the data, and an abnormal sign determination unit for making the final determination. This segmentation allows each module to specialize in specific tasks, improving detection accuracy while managing system complexity through modular design.
Solution Approach 2:
The detection unit serves as an intermediary that processes and integrates information from multiple sources (motion sensors, biometric sensors, vehicle behavior data) before passing the integrated results to the abnormal sign determination unit. This intermediary processing layer enables comprehensive analysis of multiple information types without overwhelming the final determination system.
Data Source
AI summary
An abnormality detection device includes a motion detection unit that detects a motion indicating pain associated with a disease of a body of a driver based on motion information of the driver acquired by a camera, a behavior detection unit that detects abnormal behavior of a vehicle based on behavior information acquired by a vehicle behavior information acquisition unit, a biometric information detection unit that detects biometric information that is an abnormal sign of the driver based on biometric information acquired by the biometric information acquisition unit, and an abnormal sign determination unit that determines whether the driver shows an abnormal sign in the body by using all or some of a detection result of the motion detection unit, a detection result of the behavior detection unit, and a detection result of the biometric information detection unit.