Driver Cognitive Function Scoring From Driving and Biometric Signals
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Solution Overview
Problem
Current systems fail to effectively assess and assist driving abilities compromised by cognitive decline due to factors like aging, dementia, or distractions, as they either focus on arousal levels or wait for traffic offenses to occur, lacking comprehensive evaluation and proactive assistance.
Innovation Solution
A driving characteristic determination device that uses a hardware processor to analyze driving behavior and biological information to evaluate cognitive function, categorizing it into numerical scores representing high or low levels, and providing assistance through training or driving modes based on cognitive function characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current systems focus on detecting arousal levels or waiting for traffic offenses, then device complexity is reduced, but measurement precision of cognitive function decline is insufficient
Solution Approach 1:
The patent segments cognitive function evaluation into multiple independent dimensions including arousal level detection, driving behavior analysis, and traffic offense monitoring. Each dimension is evaluated separately using dedicated sensors and algorithms, then integrated to form a comprehensive cognitive function score. This segmentation allows precise measurement of each aspect without requiring a single complex all-encompassing system.
Solution Approach 2:
The system uses a multi-functional evaluation framework that can assess various cognitive functions using the same basic infrastructure of sensors and processors. The same camera system detects both facial expressions for arousal detection and driving behavior patterns. The universal evaluation algorithm adapts to different cognitive function assessments, reducing overall system complexity while maintaining measurement precision across multiple dimensions.
2Reliability
If comprehensive driving behavior analysis is implemented, then reliability of cognitive function assessment is improved, but loss of time for data processing increases
Solution Approach 1:
The system performs preliminary analysis of driving behavior data continuously in the background, pre-processing information as it is collected from sensors. Basic patterns and anomalies are identified and stored in advance, so that when cognitive function assessment is needed, the processed data is already available for immediate evaluation. This eliminates the need for time-consuming real-time analysis during critical assessment moments.
Solution Approach 2:
The system implements continuous feedback loops where assessment results are immediately fed back into the data collection process. When specific patterns are detected that indicate cognitive decline, the system adjusts its monitoring focus and data collection frequency dynamically. This feedback mechanism ensures that comprehensive analysis is performed selectively on relevant data segments, maintaining reliability while minimizing unnecessary processing time for normal driving conditions.
Data Source
AI summary
A driving characteristic determination device includes a hardware processor connected to a memory. The processor detects driving information indicating at least one of driving behavior for a vehicle by a driver, biological information of the driver during driving, and behavior of the vehicle. The processor calculates, on the basis of the driving information, numerical values indicating whether a cognitive function of the driver is high or low. The processor analyzes the numerical values indicating whether the cognitive function is high or low. The numerical values are analyzed as cognitive function characteristics relative to one or more different brain functions. The processor outputs information about an analysis result obtained by the analysis of the numerical values.