Wearable Motion-Correlation Authentication System
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Solution Overview
Problem
Existing wearable technology systems lack efficient methods to securely connect and communicate with other devices using correlated motion, limiting their functionality in unlocking and controlling other electronic devices.
Innovation Solution
A wearable device communicates with other devices using human-body communication, synchronizing motion data to send instructions for unlocking, charging status, or accessing information, through motion sensors and human-body-communication processors, enabling secure and intuitive device interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion sensors and human-body communication processors are used to enable secure device interaction, then security and functionality are improved, but device complexity increases
Solution Approach 1:
The patent uses motion correlation as an intermediary mechanism to enable secure communication between wearable devices and other electronic devices. Instead of implementing complex cryptographic protocols directly in the wearable device, the system uses motion sensors to detect and compare movement patterns, creating a biometric-like authentication layer that is simpler to implement while maintaining high security standards.
Solution Approach 2:
The patent replaces traditional mechanical authentication methods (such as physical keys, PIN codes, or fingerprint sensors) with a motion-based authentication system. By using motion sensors to detect and correlate movement patterns between devices, the system substitutes complex mechanical or electronic authentication mechanisms with a more streamlined motion-correlation approach that reduces overall device complexity while enhancing security.
2Ease of operation
If motion correlation authentication is implemented, then ease of operation is improved, but measurement precision requirements increase
Solution Approach 1:
The patent implements a feedback mechanism where motion sensors continuously monitor movement patterns and compare them against established correlation thresholds. The system provides real-time feedback by adjusting the correlation threshold based on the confidence level of motion matching, allowing the authentication system to dynamically adapt to different motion scenarios while maintaining both ease of operation and measurement precision.
Data Source
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AI summary
An apparatus and method for communicating between a first device and second device, where each device includes a motion sensor. Communication functions are triggered by comparing motion data derived from each device. For example, when the first device is worn on a user's wrist (e.g., a smartwatch) and the second device (e.g., a smartphone) is held in the user's hand corresponding to the user's wrist, then moving the hand and devices results in correlated motion data between the devices. This correlated motion indicates the devices correspond to the same user. Further, human-body communication between the devices provides additional indicia that the devices correspond to the same user. Thus, based on the above-identified correlated motion and human-body communication the same user can be inferred and predefined communication task between the devices can be performed, such as unlocking the devices, exchanging identification codes, or exchanging other information.