Cognitive Decline Detection via Driving Behavior Analysis
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Solution Overview
Problem
Existing cognitive function inspection methods fail to detect early signs of cognitive deterioration from daily behaviors, such as driving habits, and do not effectively guide users on how to address detected symptoms.
Innovation Solution
A consultation recommendation system that includes a service providing device and user terminal, which analyze vehicle data to detect abnormal indications of cognitive decline and notify users of consultation recommendations for cognitive-related diseases, utilizing a determination unit and notification unit to issue alerts based on traveling information and user data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If simple inspection based on temporary state is performed, then the inspection can be conducted quickly, but early signs of cognitive deterioration cannot be detected
Solution Approach 1:
The system collects and analyzes driving behavior data over an extended period before making a cognitive function assessment. By accumulating traveling information, operation information, and vehicle state information in advance, the system can detect early signs of cognitive deterioration that would be missed in temporary inspections, while still providing timely notifications when abnormalities are detected.
2Loss of information
If notification of cognitive function deterioration is issued, then users become aware of the problem, but users cannot determine how to perform appropriate behavior
Solution Approach 1:
The system provides structured feedback that includes not only the detection result of cognitive function deterioration but also specific consultation recommendations. The notification unit outputs information directing users to seek professional medical consultation, transforming raw detection data into actionable guidance that helps users understand the significance of the findings and take appropriate next steps.
Data Source
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AI summary
A consultation recommendation system 1 includes: a service providing device 30 including a storage unit that stores user data D2 and vehicle data DI, a determination unit that determines the presence or absence of an abnormal indication of a user from the vehicle data and stores determination result data D4 including a determination result in the storage unit, and a notification unit that issues a notification of a consultation recommendation when the determination unit determines that there is an abnormal indication in the user; and user terminals 60, 60A, 60B. The storage unit stores the user data, the vehicle data, and the determination result data in association with each other for each user, and the notification unit transmits the notification of the consultation recommendation to a user terminal specified from the user data corresponding to the determination result data.