Vehicle Data Analysis for Cognitive Deterioration Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for assessing cognitive function in daily activities, such as driving, fail to detect early signs of cognitive deterioration and do not provide appropriate recommendations for medical consultation.
Innovation Solution
A consultation recommendation system and base station device that analyze vehicle data to identify abnormal driving behaviors, correlating them with cognitive function, and notify users of potential cognitive issues, recommending medical consultations when necessary.
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 performs preliminary data collection of driving behaviors over an extended period before conducting the actual cognitive function assessment. By accumulating driving data in advance and analyzing patterns over time, the system can detect early signs of cognitive deterioration that would be missed in temporary inspections, while maintaining efficient processing through pre-organized data structures
Solution Approach 2:
The system transitions from single-point-in-time assessment to multi-dimensional temporal analysis by examining driving behaviors across different time periods, conditions, and contexts. This dimensional expansion allows detection of subtle cognitive changes that manifest gradually over time rather than appearing in isolated moments
2Loss of information
If notification of cognitive function deterioration is provided without behavior guidance, then the user is informed of the issue, but the user cannot determine how to perform appropriate behavior
Solution Approach 1:
The system provides continuous feedback to users by comparing their driving behaviors against established norms and providing actionable recommendations. When cognitive deterioration is detected, the system offers specific guidance on behavioral adjustments and refers users to appropriate medical resources, creating a closed-loop feedback system that informs users both of the problem and the steps to address it
Solution Approach 2:
The system acts as an intermediary between cognitive function assessment and user understanding by translating complex medical concepts into actionable behavioral guidance. It bridges the gap between detection and intervention by providing interpretable results and concrete next steps, including referrals to medical professionals when necessary
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A consultation recommendation system 1 includes: a mobility server 40A that stores user data D2; a medical server 40B that stores vehicle data Dl including traveling information; a determination device that determines the presence or absence of an abnormal indication of the user from the vehicle data D1, stores determination result data D4 including a determination result in the medical server 40B, and issues a notification related to a cognitive function to the user based on the determination result data; and user terminals 60, 60A, and 60B, in which when the determination device determines that there is an abnormal indication in the user, the determination device transmits, to a user terminal specified based on the user data corresponding to the determination result, a notification of a consultation recommendation on a disease related to the cognitive function.