Abnormality Detection System for Vehicle Cognitive Monitoring
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Solution Overview
Problem
Current cognitive function inspections for elderly drivers are limited to specific moments and do not effectively detect early signs of cognitive decline during daily activities like driving, making it difficult to identify abnormalities related to cognitive function deterioration.
Innovation Solution
An abnormality detection system that includes a service providing device to detect abnormal driving behaviors from vehicle data and notify medical institutions, and a user terminal to communicate with the service providing device, enabling early detection of cognitive function-related symptoms by providing medical information based on driving situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cognitive function inspections are conducted at specific facilities using inspection forms and electronic terminals, then the cognitive function state at the time of inspection can be confirmed, but the cognitive function state in daily life such as when actually driving cannot be confirmed
Solution Approach 1:
The patent uses vehicle operation data as a copy or proxy for direct cognitive function measurement. Instead of requiring the subject to perform explicit cognitive tasks during inspection, the system captures indirect evidence of cognitive function through actual driving behavior patterns, vehicle operation data, and traffic rule compliance records. This allows cognitive function assessment to occur naturally during daily driving activities rather than in artificial inspection settings.
2Ease of operation
If simple cognitive function inspections are used to confirm memory and judgment, then the inspection process is easy to administer, but early stage abnormalities of cognitive function cannot be detected
Solution Approach 1:
The system implements continuous monitoring of vehicle operation data over extended periods rather than relying on single-point-in-time inspections. By continuously collecting and analyzing driving behavior patterns, vehicle operation metrics, and traffic compliance data across multiple driving sessions, the system accumulates sufficient information to detect subtle early-stage cognitive abnormalities while maintaining ease of administration through automated data collection.
Solution Approach 2:
The system incorporates feedback mechanisms where vehicle operation data is continuously analyzed and compared against baseline patterns. When deviations indicating potential cognitive abnormalities are detected, the system can trigger notifications to medical institutions or prompt further inspection, creating a feedback loop that enhances detection precision while maintaining operational simplicity through automated analysis.
3Stability of the object's composition
If cognitive function inspection is limited to facility-based assessments, then the inspection can be standardized, but it is difficult to discover indications or symptoms of cognitive function disease at an early stage from daily behavior
Solution Approach 1:
The system uses the vehicle itself as a multi-functional platform that serves both as a transportation device and as a cognitive function monitoring device. The vehicle's existing sensors, communication systems, and data recording capabilities are leveraged to collect cognitive function indicators during normal driving operations. This universal approach allows standardized assessment to occur naturally in the driver's everyday environment, enabling early detection of cognitive abnormalities through analysis of driving behavior patterns, vehicle operation data, and traffic rule compliance.
Data Source
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AI summary
Abnormal driving of the user in the vehicle is detected from vehicle data D1 including traveling information D13 of the vehicle, and medical information created based on information related to the detected abnormal driving of the user and an opinion of a medical worker of the medical institution is notified to a user terminal.