Biometric Device Pairing via Body Movement Authentication
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Solution Overview
Problem
Existing device pairing methods for electronic devices, such as smartphones and wearables, are cumbersome and require manual confirmation, especially when devices are shared among multiple users, necessitating a more efficient and automated authentication process.
Innovation Solution
Implementing a circuitry in electronic devices that uses a privacy-preserving algorithm to authenticate by comparing body-related information, such as biometric and behaviometric data, to determine if devices are associated with the same body, allowing for frictionless pairing and secure data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual pairing confirmation is used, then device pairing can be securely established, but the pairing procedure becomes cumbersome and time-consuming
Solution Approach 1:
The system performs automatic authentication by comparing biometric data from multiple sensors (accelerometer, gyroscope, barometer) without requiring user intervention. The devices self-verify their association through algorithmic analysis of body movement patterns, eliminating the need for manual pairing confirmation while maintaining security.
Solution Approach 2:
The patent replaces manual mechanical pairing operations with automated sensor-based biometric authentication. Instead of requiring users to physically confirm pairing through button presses or screen interactions, the system uses algorithms to analyze and compare body movement data from inertial sensors, substituting human action with automated computational verification.
2Reliability
If manual pairing confirmation is required, then unauthorized access can be prevented, but ease of operation deteriorates
Solution Approach 1:
The authentication process occurs automatically without user intervention. The devices autonomously collect biometric data from sensors, compare the data using privacy-preserving algorithms, and establish or deny pairing based on the analysis results, making the system both secure and convenient.
Solution Approach 2:
The system performs authentication actions in advance of actual data transfer. By verifying device association through biometric comparison before any sensitive operations, the system ensures security is built into the foundation of the connection, eliminating the need for subsequent authorization steps.
3Adaptability or versatility
If devices are shared among multiple users, then device versatility is improved, but authentication complexity increases
Solution Approach 1:
The patent replaces complex multi-user authentication protocols with simple biometric comparison. Instead of requiring users to manually log in, enter passwords, or go through multi-factor authentication, the system automatically compares sensor data from the current user's body movements with stored profiles, simplifying the authentication process while supporting multiple users.
Solution Approach 2:
The system changes the authentication parameter from manual credentials (passwords, PINs) to physiological parameters (body movement patterns, acceleration, gyroscope data). This parameter change enables automatic, contactless authentication that is both simpler to use and more difficult to spoof, accommodating multiple users without increasing complexity.
Data Source
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AI summary
The present disclosure relates to an electronic device which comprises a circuitry configured to authenticate a second electronic device when the circuitry detects based on a privacy preserving algorithm that the two electronic devices are associated with the same body. Furthermore, the present disclosure relates to a method comprising authenticating data communication between a first electronic device and a second electronic device when detecting based on a privacy preserving algorithm that the two electronic devices are associated with the same body.