Driver Health Data Extraction for Low-Bandwidth Remote Monitoring
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Solution Overview
Problem
Existing information provision systems do not effectively utilize driver information for health condition assessment and external communication, lacking a configuration for externally providing and utilizing information necessary for grasping the health condition of the driver.
Innovation Solution
An information provision system that detects driver biological information, extracts relevant health-related information, and transmits it to a user terminal outside the vehicle, enabling remote medical examination or health improvement applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all driver biological information is transmitted to external terminals, then complete health assessment data is available, but data transmission size and communication burden increase
Solution Approach 1:
The patent extracts only the necessary health-related information from the complete driver biological information dataset before transmission. The extraction unit identifies and selects specific parameters (such as heart rate, blood pressure, oxygen saturation) that are most relevant for health assessment, excluding redundant or less critical data. This resolves the contradiction by maintaining information completeness for health assessment while minimizing data transmission volume.
Solution Approach 2:
The patent segments the driver biological information into different categories and transmits only the relevant segments for health assessment. The information is divided into essential health parameters, driving performance parameters, and optional detailed parameters. By segmenting and selectively transmitting only the necessary segments, the system achieves complete health assessment data while reducing overall data transmission burden.
2Adaptability or versatility
If driver health information is made accessible externally, then remote health monitoring and intervention are enabled, but system complexity and privacy protection requirements increase
Solution Approach 1:
The patent implements a universal information provision system that can serve multiple functions: health monitoring, driving behavior analysis, and emergency response. The same information extraction and transmission infrastructure supports various health assessment scenarios and external applications. This multi-functionality approach enables remote health monitoring capability while avoiding the need for separate specialized systems, thereby controlling overall system complexity.
Solution Approach 2:
The patent introduces an intermediary information provision control device that manages the flow of driver biological information between the vehicle system and external terminals. This intermediary layer handles data extraction, filtering, formatting, and selective transmission, simplifying the overall system architecture by centralizing the information management functions and reducing direct complexity between multiple components.
3Measurement precision
If comprehensive driver information is collected and transmitted, then accurate health condition assessment is achieved, but information processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary action by pre-identifying and extracting only the health-relevant parameters from driver biological information before transmission and external processing. The extraction unit is configured with predetermined criteria for health assessment, so the relevant data is identified and prepared in advance. This preliminary extraction reduces the amount of data requiring subsequent processing and analysis, thereby reducing information processing time while maintaining assessment accuracy.
Solution Approach 2:
The patent applies local quality by treating different types of driver information with different processing priorities and levels of detail. Health-critical parameters (such as oxygen saturation, heart rate variability) are extracted with high precision and transmitted immediately, while less critical parameters are processed with lower priority or excluded. This differentiated approach ensures accurate health assessment for critical parameters without the computational overhead of processing all information at the same level of detail.
Data Source
AI summary
An information provision system is configured to detect driver information, which is information including biological information of a driver, transmit information acquired inside the vehicle to a user terminal provided outside the vehicle, acquire the driver information, extract information necessary for grasping health condition of the driver from the driver information to generate health-related information, and transmit the health-related information to the user terminal.