Vehicle Cognitive State Control for Adaptive Cabin Functions
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Solution Overview
Problem
Existing vehicle systems lack the ability to intelligently adjust vehicle functions based on the cognitive state of the user, leading to a need for manual control and reducing user relaxation and focus on driving.
Innovation Solution
A system and method for determining a user's cognitive state through various monitoring means, including biometric, visual, and thermal sensors, to control vehicle functions such as HVAC, audio, and navigation systems, using inference modules and an inference fusion module to aggregate cognitive data and adjust settings accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vehicle functions are manually controlled by the user, then the user can directly adjust settings, but the user cannot relax and must concentrate on controlling the vehicle environment
Solution Approach 1:
The system enables vehicle functions to self-adjust based on detected cognitive states. The processor automatically modifies HVAC settings, audio preferences, and navigation parameters without requiring manual user intervention, allowing the vehicle environment to serve itself based on real-time biometric and behavioral data
Solution Approach 2:
The system implements continuous feedback loops where sensors monitor cognitive state parameters (heart rate, facial expressions, eye movements) and the processor uses this feedback to dynamically adjust vehicle functions. This closed-loop control ensures settings automatically adapt to maintain optimal cognitive states throughout the journey
2Measurement precision
If multiple inference modules are used to determine cognitive state, then the accuracy of cognitive state determination is improved, but the system complexity increases
Solution Approach 1:
The system divides cognitive state determination into separate inference modules, each specializing in specific cognitive parameters (e.g., one module for alertness based on eye movement, another for stress based on heart rate). This segmentation allows each module to optimize its algorithms for specific measurements while the central processor integrates their outputs into a comprehensive cognitive state assessment
Solution Approach 2:
The processor serves multiple functions: it receives data from various sensors, processes outputs from multiple inference modules, determines overall cognitive state, and controls diverse vehicle functions (HVAC, audio, navigation). This multi-functional design consolidates complexity into a single processing unit rather than requiring separate dedicated systems for each function
Data Source
AI summary
A system for controlling one or more functions of a vehicle includes: one or more inputs, one or more electronic processors, and one or more outputs. The one or more inputs receive user data, context data, and preference data. The one or more electronic processors determine cognitive state data for a user and generate control data for controlling one or more functions of the vehicle based on the cognitive state data, the context data, and the preference data. The one or more outputs output control data for controlling the one or more functions of the vehicle.