Gait Recognition for Vehicle User Authentication
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Solution Overview
Problem
Keyless vehicle control systems face issues with unauthorized access and security breaches, as they rely solely on transmitter recognition, and existing biometric solutions are costly and require redundant hardware, leading to inaccuracies and user inconvenience.
Innovation Solution
A method using a sensor identification circuit with sensors to gather movement data, analyzed by a learning system to recognize authorized vehicle users, allowing for automated vehicle operations and use restrictions based on authenticated users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric hardware components are integrated into the vehicle for authentication, then user authorization accuracy is improved, but device complexity and manufacturing costs increase significantly
Solution Approach 1:
The patent replaces complex biometric hardware systems (cameras, sensors, processors) with a mechanical/gait-based authentication approach. By analyzing the natural movement patterns of users approaching the vehicle, the system achieves authentication without requiring expensive biometric hardware components, thus reducing device complexity while maintaining security.
Solution Approach 2:
Instead of using complex biometric hardware to directly capture unique physiological features, the system captures and analyzes a behavioral copy - the gait pattern - which is then processed to create a unique authentication signature. This approach simplifies the hardware requirements while preserving the uniqueness needed for accurate authorization.
2Reliability
If multiple biometric authentication systems are integrated for both vehicle access and immobilizer disabilitation, then authorization reliability is improved, but device complexity and costs increase
Solution Approach 1:
The patent implements a universal gait recognition system that serves multiple authentication functions simultaneously - both vehicle access control and immobilizer disabilitation. This single multi-functional system replaces what would traditionally require separate biometric authentication systems, thereby maintaining authorization reliability across both functions while significantly reducing overall system complexity.
Solution Approach 2:
The system merges the authentication functions for vehicle access and immobilizer control into a single gait recognition process. By combining these previously separate authentication streams into one unified system, the patent achieves the same level of authorization reliability without the need for redundant hardware and processing systems.
3Ease of operation
If traditional keyless control systems are used, then ease of operation is improved, but security against unauthorized access deteriorates
Solution Approach 1:
The patent introduces gait pattern recognition as an intermediary authentication layer between the user and the vehicle control system. This intermediary mechanism maintains the convenience of keyless entry by automatically recognizing authorized users through their movement patterns, while simultaneously enhancing security by verifying the user's identity before allowing vehicle access or immobilizer disabilitation.
Data Source
AI summary
The invention relates to a method for authenticating a vehicle user. In the method, movement data of a sensor identification circuit are detected by sensors. The detected movement data are supplied to a self-learning system. The self-learning system ascertains a movement profile based on the supplied movement data and assigns this to a vehicle user. Upon approach of the vehicle by a vehicle user, it is checked whether movement data detected at the point in time of the approach corresponds to a movement profile, which is assigned to a vehicle user authorized to use the vehicle. In the event of a match, the vehicle user approaching the vehicle is authorized to use the vehicle.