Wearable Biometric Authentication via Motion Coherence
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Solution Overview
Problem
Conventional security methods for mobile devices, such as password protection and graphical patterns, are inconvenient and can be bypassed by unauthorized individuals using fingerprint residue, lacking differentiation between the owner and others.
Innovation Solution
A method utilizing a wearable electronic device with a biometric signature, such as ECG detection, to authenticate the user, allowing the mobile device to automatically perform operations based on motion coherence between the wearable and mobile devices, eliminating the need for manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If password protection or graphical pattern is used for security, then security check is provided, but convenience of operation deteriorates and security can be bypassed by fingerprint residue
Solution Approach 1:
The patent replaces mechanical input methods (typing passwords, drawing patterns, physical button presses) with motion-based authentication. The mobile device detects motion patterns through its sensor (accelerometer) and compares them with pre-registered motion patterns stored in the database. This substitution eliminates the need for manual input while providing both security and convenience, as the motion pattern is automatically captured during natural device handling.
2Reliability
If manual input is required for incoming events, then user control is maintained, but operational inconvenience increases
Solution Approach 1:
The system enables self-service operation by automatically detecting user intent through motion patterns. When the device is picked up or moved in a specific pattern, the system automatically performs actions such as answering calls, sending messages, or accessing applications without requiring manual confirmation. This maintains user control through biometric authentication while eliminating the need for repetitive manual inputs for routine operations.
3Reliability
If conventional security methods are used, then basic protection is provided, but differentiation between owner and others is lost
Solution Approach 1:
The patent changes the authentication parameter from static data (passwords, patterns) to dynamic motion characteristics. The system captures motion parameters such as acceleration, velocity, and temporal patterns during device handling. These dynamic parameters vary between individuals and even between different instances of the same user, providing precise differentiation. The motion pattern is compared with pre-registered patterns using pattern recognition algorithms, ensuring accurate user identification while maintaining security protection.
Data Source
AI summary
The present disclosure provides a method, electronic devices, and a computer readable medium for operating a mobile electronic device based on motion coherence between movements of the mobile electronic device and a wearable electronic device without providing an input. In the disclosure, the mobile electronic would receive a first motion data representing a movement of the wearable electronic device through a transceiver. The mobile electronic device would detect a second motion data representing a movement of the mobile electronic device. Then, the mobile electronic device would calculate a difference between the first motion data with the second motion data. If the difference between the first motion data and the second motion data is within a predetermined threshold, the mobile electronic device would execute an operation in response to the motion coherence between the mobile electronic device and the wearable electronic device.