Autonomous Vehicle Biometric Monitoring and Stress Adaptation
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Solution Overview
Problem
Autonomous vehicles face challenges in detecting and responding to a human operator's state of stress or anxiety, which can affect driving style and safety, as existing systems lack effective methods to monitor and adjust operations based on real-time biometric data.
Innovation Solution
An autonomous vehicle system that includes a vehicle computer configured to receive and analyze biometric data from various sensors, comparing it to baseline data to determine the operator's state and adjust vehicle operations to alleviate stress or anxiety, such as modifying speed, steering, and distance from other vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicle operates without human operator input, then vehicle automation is improved, but ability to respond to operator state is worsened
Solution Approach 1:
The system continuously monitors operator biometric data (heart rate, respiration, skin conductance, temperature) and uses this feedback to dynamically adjust autonomous driving behavior. The processor compares real-time biometric data against baseline data to detect stress or anxiety states, then modifies vehicle operations accordingly, creating a closed-loop feedback system that enables the autonomous vehicle to adapt to operator physiological states.
Solution Approach 2:
Biometric sensors serve as intermediaries between the operator's internal physiological state and the autonomous vehicle control system. These sensors detect physiological indicators of stress or anxiety and transmit this information to the processor, which then translates it into appropriate adjustments in vehicle operations, effectively mediating the connection between operator state and system response.
2Productivity
If vehicle operates with aggressive driving style, then productivity is improved, but operator stress is worsened
Solution Approach 1:
The system dynamically adjusts driving style parameters (speed, acceleration, lane changes, following distance) based on real-time detection of operator physiological state. When stress or anxiety is detected through biometric monitoring, the system automatically modifies operational parameters to reduce aggression, creating a flexible, adaptive driving behavior that responds to operator needs rather than maintaining a fixed driving style.
Solution Approach 2:
The system changes operational parameters such as vehicle speed, acceleration rates, lane change frequency, and following distance based on detected operator stress levels. The processor analyzes biometric data and adjusts these parameters in real-time, transforming the driving behavior from aggressive to more conservative when operator stress is detected, thereby reducing harmful effects on operator well-being.
3Measurement precision
If system monitors operator biometric data, then operator state detection is improved, but device complexity is worsened
Solution Approach 1:
The system uses multi-functional biometric sensors that can detect multiple physiological parameters (heart rate, respiration rate, skin conductance, temperature) simultaneously. These sensors serve multiple purposes: monitoring operator stress levels, detecting anxiety states, and providing comprehensive physiological data for holistic operator state assessment, thereby reducing the need for separate specialized sensors for each parameter.
Solution Approach 2:
The patent combines multiple biometric sensing functions into an integrated monitoring system. The processor consolidates data from various physiological measurements and baseline comparisons into a unified operator state assessment, merging complex sensor inputs with computational analysis to achieve precise detection without proportionally increasing system complexity.
Data Source
AI summary
A vehicle computer is configured to perform one or more operations of the vehicle without occupant input. Data is stored relating to a baseline occupant state. Data is collected relating to a current occupant state. A comparison is performed of the baseline occupant state to the current occupant state. A parameter is modified governing performance of the one or more operations according to the comparison.