Vehicle Control Integrating Wearable Physiological Data
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Solution Overview
Problem
Current wearable computing devices in vehicles can only detect limited parameters, failing to provide a comprehensive and adaptive driving experience that accounts for dynamic environmental conditions and occupant states, which may lead to discomfort or safety issues.
Innovation Solution
A system that integrates wearable devices with vehicle computing processors and geodatabases to receive and analyze physiological parameters, vehicle positions, and environmental data, determining a physiological overload level to control vehicle systems dynamically, thereby enhancing occupant comfort and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wearable computing devices are used to detect driver and occupant parameters, then data acquisition capability is improved, but the system cannot account for all environmental parameters beyond wearable detection scope
Solution Approach 1:
The patent combines wearable computing devices with vehicle systems to merge physiological data from the occupant with environmental data from vehicle sensors and external sources. This integration creates a comprehensive monitoring system that captures both internal physiological states and external environmental conditions, resolving the limitation of wearable devices working in isolation.
Solution Approach 2:
The vehicle system is enhanced to perform multiple functions: it not only detects physiological parameters through wearables but also monitors environmental conditions, determines geographic location, queries geodatabases for contextual information, and controls various vehicle systems. This multi-functional approach ensures no critical information is lost.
2Reliability
If vehicle systems are controlled based on comprehensive physiological and environmental data, then occupant comfort and safety are improved, but system complexity increases
Solution Approach 1:
The complex vehicle control system is divided into distinct functional modules: wearable device integration for physiological monitoring, position determination for location tracking, geodatabase querying for contextual information, and separate control mechanisms for different vehicle systems. This segmentation manages complexity by organizing functions into manageable, independent components that can be developed and maintained separately.
Solution Approach 2:
The patent introduces intermediate processing layers including the position determination device that bridges physiological data and environmental context, and the geodatabase that serves as an intermediary storage and retrieval system. These intermediaries simplify the overall system architecture by handling specific sub-tasks and providing standardized interfaces between different system components.
3Adaptability or versatility
If real-time physiological monitoring and environmental integration are implemented, then adaptive driving experience is improved, but data processing requirements and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-querying the geodatabase with current position and physiological parameters to determine physiological overload levels before critical situations arise. This advance processing allows the vehicle to proactively adjust systems based on predicted needs rather than reacting to already-critical conditions, reducing the need for intensive real-time computation during high-stress moments.
Solution Approach 2:
The vehicle system serves itself by automatically integrating wearable data, determining position, querying relevant environmental information from geodatabases, and controlling vehicle systems without requiring constant external intervention. This self-service capability reduces computational overhead by automating routine processing and decision-making functions.
Data Source
AI summary
A method for vehicle control integrating environmental conditions including receiving a current physiological parameter from a wearable device associated with a vehicle occupant, and upon receiving the current physiological parameter, determining a current position of the vehicle from a position determination device, wherein the current the current physiological parameter correlates with the current position of the vehicle. The method including determining a physiological overload level including querying a geodatabase with the current physiological parameter and the current position of the vehicle and controlling one or more vehicle systems of the vehicle based on the physiological overload level.


