NFC Remote Control Authentication With Private Biometric Gestures
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Solution Overview
Problem
Existing user authentication methods compromise privacy, are vulnerable to hacking, require real-time network access, and are cumbersome or ineffective in areas with limited network coverage, while gesturing schemes are unintuitive, device-specific, and lack standardized functionality for controlling diverse devices.
Innovation Solution
A system where a user's smart device captures biometric data and physical gestures, communicates via short-range wireless signals with a reader device, and authenticates offline or online to authorize actions on peripheral devices without revealing personal information, using pre-defined gesture maps for device-specific commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric authentication is used, then user identification accuracy is improved, but user privacy is compromised and data security vulnerability increases
Solution Approach 1:
The patent extracts only the essential authentication function from the biometric data itself. Instead of storing and transmitting raw biometric templates that can be hacked, the system uses cryptographic hashing and salting techniques to create unique identifiers that can be verified without exposing the original biometric data. The actual biometric comparison happens locally on the terminal device, and only the hashed result is transmitted to the server for authentication verification.
Solution Approach 2:
The patent introduces cryptographic hashing functions and salt values as intermediary elements between the biometric data and the authentication database. These intermediaries transform the raw biometric data into a form that can be stored and transmitted securely. The hashing function acts as a mediator that preserves the uniqueness and verification capability of biometric data while eliminating the vulnerability of storing the actual biometric templates.
2Reliability
If real-time database access is required for authentication, then authentication reliability is improved, but network dependency increases and service availability decreases in areas with limited connectivity
Solution Approach 1:
The patent performs preliminary authentication actions by pre-configuring authentication parameters, cryptographic keys, and authorization rules on the terminal device before the user needs access. The system stores locally cached authentication data and pre-computed hash values that can be verified without real-time network connectivity. This allows the terminal to perform authentication decisions autonomously based on pre-loaded information, eliminating the need for continuous database connectivity.
Solution Approach 2:
The patent enables the terminal device to perform self-service authentication by incorporating all necessary authentication logic, cryptographic functions, and authorization rules directly into the terminal. The terminal can independently verify user credentials against locally stored reference data without requiring server intervention. This self-contained approach ensures authentication service continues uninterrupted even when network connectivity is unavailable.
3Ease of operation
If gestures are used for device control, then ease of operation is improved, but intuitiveness decreases and device specificity increases
Solution Approach 1:
The patent implements a universal gesture recognition system that uses standard, intuitive hand gestures (wave, fist, open palm, pointing) that can control multiple different device types through a single interface. The gesture recognition module translates these universal gestures into device-specific commands based on the detected device type and context. This allows the same gesture to mean different things on different devices while maintaining ease of use through consistency.
Solution Approach 2:
The patent makes the gesture recognition system dynamic by adapting the interpretation of gestures based on real-time context, device type, and user profile. The system learns from user behavior patterns and adjusts gesture sensitivity and interpretation dynamically. This dynamic adaptation allows the system to maintain high intuitiveness across different devices and users while managing complexity through intelligent contextual analysis rather than rigid predefined mappings.
Data Source
AI summary
A method for controlling a remote control device includes capturing with a biometric device biometric data associated with a user, determining with processor whether the user is authorized to interact with the smart device, in response to the biometric data, determining with the processor user data, in response to the user being authorized to interact with the smart device, receiving with a short-range transceiver an authentication request from a reader device associated with a remote control device, outputting with the short-range transceiver a session token in response to the authentication request and to the user data, thereafter determining with a physical sensor physical perturbations in response to physical actions of the user, determining with the processor a requested action for the remote control device, in response to the user data and the physical perturbations, and outputting with the short-range transceiver the requested action to the reader device.