Driver Identification via Wearable Movement Patterns
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Solution Overview
Problem
Current vehicle settings systems are limited in accommodating multiple users, requiring individuals to overwrite existing settings and often requiring time and vehicle enablement to adjust preferences, leading to inefficiencies in driver-specific settings application.
Innovation Solution
A computer-implemented method and system that identifies a vehicle driver by analyzing patterns of movement from wearable devices, determining consistency with predefined driver movement patterns, and automatically executing associated vehicle settings, allowing for seamless and timely adjustment of settings upon driver identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If input buttons are used to memorize vehicle settings for multiple individuals, then vehicle settings can be customized for a small number of users, but the system cannot accommodate additional individuals without overwriting existing settings
Solution Approach 1:
The system automatically identifies the driver through sensor data analysis and applies the corresponding personalized settings without requiring manual selection. The driver identification and settings application occur autonomously based on detected movement patterns, eliminating the need for users to manually select input buttons and manage limited preset slots.
2Ease of operation
If individuals select their input button after approaching or entering the vehicle, then vehicle settings can be adjusted to preferred settings, but time is lost waiting for settings adjustment before driving
Solution Approach 1:
The system performs driver identification and settings application in advance, during the approach and entry phase, before the driver needs to operate the vehicle. By analyzing movement patterns as the driver approaches and enters, the system prepares and applies personalized settings proactively, eliminating the waiting period that occurs with traditional button-selection methods.
3Reliability
If vehicle settings are adjusted only when the vehicle is not fully enabled or in park gear, then settings can be modified safely, but individuals must wait for vehicle enablement conditions before settings are applied
Solution Approach 1:
The system completes driver identification and settings application during the approach and entry phase, which occurs before vehicle enablement conditions are required. This preliminary action ensures settings are ready in advance, eliminating the need to wait for vehicle enablement while maintaining safety through the automatic identification process that occurs during natural approach behaviors.
Data Source
AI summary
A computer-implemented method and system for identifying a vehicle driver by a pattern of movement that includes receiving at least one sensor signal from at least one wearable device. The method and system additionally include determining the pattern of movement based on data extracted from the at least one sensor signal and determining if the pattern of movement is consistent with at least one driver movement pattern. The method and system further include identifying the vehicle driver based on the pattern of movement being consistent with the at least one driver movement pattern. The method and system also include controlling at least one vehicle system by executing vehicle settings associated with the identified vehicle driver.