Vehicle Infotainment Control Using Occupant Physiological Correlation
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Solution Overview
Problem
Current vehicle systems lack the ability to effectively correlate and respond to the physiological conditions of occupants with corresponding vehicle operating parameters, leading to inadequate comfort and safety measures.
Innovation Solution
A method and system that utilize sensors and processing circuitry to monitor physiological parameters of occupants, correlate them with vehicle operating parameters, and adjust vehicle settings or routes to address detected conditions, using machine learning models and wearable devices to prioritize occupant comfort and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle system monitors physiological parameters continuously, then occupant comfort and safety are improved, but energy consumption and system complexity increase
Solution Approach 1:
The system implements periodic monitoring of physiological parameters at scheduled intervals rather than continuous monitoring. The processor receives physiological data from sensors at specific time points during the journey, analyzes changes between periods, and triggers vehicle parameter adjustments only when significant changes are detected, thereby reducing energy consumption while maintaining effective safety monitoring
Solution Approach 2:
The system uses the vehicle's existing sensor infrastructure and processing capabilities to monitor physiological parameters, rather than adding dedicated continuous monitoring hardware. The processor leverages available computational resources to analyze physiological data and correlate it with vehicle operating parameters, minimizing additional energy requirements while achieving comprehensive monitoring
2Adaptability or versatility
If the system adjusts multiple vehicle operating parameters dynamically, then occupant comfort is improved, but device complexity increases
Solution Approach 1:
The processor serves multiple functions by simultaneously monitoring physiological parameters, analyzing vehicle operating parameters, detecting correlations between them, and triggering appropriate adjustments. This multi-functional approach consolidates what could be separate complex systems into a single integrated processing unit, managing adaptability while controlling overall system complexity
Solution Approach 2:
The system focuses on adjusting specific vehicle operating parameters (such as temperature, ventilation, or route) based on detected physiological conditions, rather than attempting to control all vehicle systems. This selective parameter adjustment approach enables adaptability to occupant needs while avoiding the complexity of coordinating numerous vehicle subsystems
3Measurement precision
If the system collects and analyzes extensive physiological data, then detection accuracy is improved, but data processing time and computational load increase
Solution Approach 1:
The system establishes baseline physiological parameters and correlation relationships before actual monitoring begins or uses pre-stored reference data. By having preliminary data and analysis frameworks ready, the processor can quickly compare real-time measurements against established patterns without performing extensive real-time computations, thereby maintaining detection accuracy while minimizing processing delays
Data Source
AI summary
The present disclosure provides system and methods for a vehicle infotainment system (VIS) to monitor physiological parameters of occupants of a vehicle. The VIS also monitors vehicle operating parameters. The VIS is able to detect when an occupant is experiencing a physiological condition and correlates the physiological condition to one or more vehicle operating parameters. In response to detecting a physiological condition and to determining the correlation, the VIS causes an action to occur in order to mitigate the physiological condition and/or to seek assistance for the physiological condition.