Wearable-Driven Vehicle Settings for Physiological Feedback Control
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Solution Overview
Problem
Existing wearable devices are limited in their ability to utilize physiological data for controlling vehicles and providing feedback to users, as they typically operate within a closed system involving only the user, the wearable device, and a paired user device.
Innovation Solution
The integration of automotive data with wearable-based data systems, allowing vehicles to communicate with wearable devices and user devices to adjust operational parameters based on physiological data, such as seat settings, climate control, and providing feedback through haptic, audio, or visual means.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wearable devices collect physiological data within a closed system (user, wearable device, user device), then data collection is simple and system complexity is low, but the applicability and utility of the data are limited
Solution Approach 1:
The patent merges the wearable device system with the vehicle system by establishing communication between them. The wearable device collects physiological data from the user and transmits it to the vehicle's control system, which then uses this data to adjust vehicle settings. This combination expands the applicability of physiological data beyond the closed wearable system into vehicle operations, while the modular integration keeps system complexity manageable through standardized communication protocols.
Solution Approach 2:
The physiological data collected by the wearable device is made universal by applying it to multiple vehicle functions including climate control adjustment, seat positioning, entertainment system configuration, and driver alertness monitoring. This multi-functional application transforms the data from a specialized wearable metric into a versatile control parameter that enhances various aspects of vehicle operation and user experience.
2Ease of operation
If vehicle settings are adjusted manually by users, then system complexity is low, but user convenience and comfort are reduced
Solution Approach 1:
The vehicle system performs self-service by automatically adjusting its settings based on physiological data from the wearable device. The climate control system autonomously modifies temperature and airflow, the seat system automatically positions itself, and the entertainment system adjusts audio settings without requiring manual user input. This self-adjusting capability significantly enhances user convenience while the automated nature of the adjustments keeps the control logic relatively simple.
Solution Approach 2:
The system implements continuous feedback loops where physiological data from the wearable device feeds into the vehicle's control systems, which then make real-time adjustments to various settings. This feedback mechanism enables the vehicle to respond dynamically to the user's physiological state, improving comfort and convenience. The feedback-based approach maintains manageable complexity by using straightforward cause-and-effect adjustment rules rather than complex predictive algorithms.
3Reliability
If physiological data is used to control vehicle operations, then user comfort and safety are improved, but data processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary actions by continuously monitoring physiological data and preparing adjustments before critical safety situations arise. The vehicle system proactively adjusts settings based on early signs of driver fatigue or stress detected through physiological metrics, preventing rather than reacting to safety issues. This proactive approach enhances driver safety while keeping data processing requirements relatively modest by using simple threshold-based detection rather than complex predictive modeling.
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.