Wearable Vehicle Authentication Using Physiological Proximity Data
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Solution Overview
Problem
Existing wearable devices are limited in their ability to integrate with automotive systems, preventing the use of physiological data for vehicle control and user feedback.
Innovation Solution
A system that incorporates wearable devices with automotive systems, allowing physiological data to be used for adjusting vehicle operational parameters and providing feedback to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wearable devices are integrated with automotive systems, then the system can utilize physiological data for vehicle control and user feedback, but the device complexity and integration requirements increase
Solution Approach 1:
The system is divided into distinct functional modules: the wearable device that collects physiological data, the automotive system that receives and processes the data, and the feedback mechanisms. This segmentation allows each component to be developed and optimized independently while maintaining clear interfaces for integration.
Solution Approach 2:
The wearable device is designed to collect multiple types of physiological data (heart rate, temperature, motion) that can be applied to various automotive functions including authentication, climate control, and safety monitoring. This multi-functionality increases adaptability without proportionally increasing complexity.
2Ease of operation
If physiological data is collected and processed by the automotive system, then personalized vehicle settings and real-time feedback can be provided, but data processing requirements and energy consumption increase
Solution Approach 1:
The system pre-processes physiological data on the wearable device before transmission to the automotive system. Basic authentication decisions and simple metrics are evaluated in advance, reducing the amount of data that needs to be transmitted and processed by the automotive system, thereby lowering energy consumption.
Solution Approach 2:
A data processing intermediary layer is introduced that filters and prioritizes physiological data before it reaches the automotive system. Only relevant and significant data points are transmitted and processed, reducing overall energy consumption while maintaining personalization capabilities.
3Reliability
If the system uses physiological data for authentication and vehicle control, then security and user experience are enhanced, but measurement precision requirements and system reliability demands increase
Solution Approach 1:
The system implements feedback mechanisms where the automotive system receives continuous physiological data streams and adjusts authentication decisions based on multiple data points over time. This temporal feedback allows the system to compensate for minor measurement variations and maintain high authentication reliability.
Solution Approach 2:
The system monitors multiple physiological parameters simultaneously (heart rate, temperature, motion patterns) rather than relying on a single measurement. By analyzing changes across multiple parameters, the system achieves high authentication reliability even when individual measurement precision is limited.
Data Source
AI summary
Methods, systems, and devices for leveraging automotive and wearable-based data are described. For example, a system may include a wearable device, a user device associated with the wearable device, and a vehicle. The system may determine when a user is within a proximity of the vehicle based on communications between the vehicle and the wearable device, between the vehicle and the user device, or both. The system may retrieve physiological data measurement from the user via the wearable device based on determining the user is positioned in a proximity of the vehicle, such that one or more operational parameters of the vehicle may be adjusted based on the physiological data. Additionally, or alternatively, the system may receive telemetry data from one more sensors of the vehicle and may provide feedback to the user based on the telemetry data satisfying one or more trigger conditions.