Antenna Ring Gesture Recognition for Sign Language and Authentication
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Solution Overview
Problem
Existing technologies face challenges in accurately interpreting sign language and performing user authentication using wearable devices, particularly for individuals who are deaf or hard of hearing, and in securely managing smart rings that prevent unauthorized use.
Innovation Solution
A smart ring equipped with antennas and a vector network analyzer that maps reflected frequency responses to finger gestures for sign language interpretation and user authentication, utilizing a processor to recognize and authenticate user gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensor-based gesture recognition is used in wearable devices, then device complexity is reduced, but measurement precision and reliability of gesture recognition deteriorate
Solution Approach 1:
The patent replaces traditional mechanical/optical sensors with an electromagnetic field-based measurement system. A vector network analyzer measures changes in the electromagnetic environment caused by finger gestures, substituting physical contact sensors with field-based detection that provides higher precision without requiring complex sensor arrays.
Solution Approach 2:
The patent introduces an electromagnetic field as an intermediary between the gesture and the detection system. Instead of directly detecting gesture mechanics or optics, the system measures electromagnetic field perturbations caused by gestures, providing an indirect but more accurate measurement pathway that maintains system simplicity.
2Adaptability or versatility
If sign language interpretation systems are added to smart rings, then adaptability and versatility improve, but device complexity increases
Solution Approach 1:
The patent makes the electromagnetic measurement system serve multiple functions: it detects both authentication gestures and sign language gestures using the same hardware infrastructure. The vector network analyzer and processing algorithms are designed to handle diverse gesture types, allowing one system to perform multiple functions without proportionally increasing complexity.
Solution Approach 2:
The patent uses parameter-based gesture differentiation where different gestures are identified by measuring changes in electromagnetic field parameters (frequency, impedance, coupling). By varying measurement parameters rather than adding sensor types, the system achieves versatility in recognizing multiple gesture classes while maintaining hardware simplicity.
3Reliability
If secure authentication mechanisms are implemented, then reliability of user authentication improves, but ease of operation deteriorates
Solution Approach 1:
The patent implements self-service authentication where the user's own finger gestures serve as the authentication credential. The system automatically measures electromagnetic field changes during natural finger movements and compares them against stored gesture patterns, eliminating the need for manual password entry or external authentication devices while maintaining high security.
Solution Approach 2:
The patent performs preliminary registration of user gesture patterns during device setup or initial use. By pre-storing electromagnetic field signatures of authorized user gestures, the system enables rapid subsequent authentication comparisons without requiring complex real-time analysis, thus maintaining both security and operational ease.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate sign language interpretation and secure user authentication through finger gesture recognition, enhancing communication accessibility and security for smart rings.
Implementation Method 1
at least one antenna for transmitting a wireless signal
Data Source
AI summary
Rings and systems for finger gesture recognition include at least one antenna, a vector network analyzer (VNA), and a processor. The VNA may be configured to drive a test signal into the antenna(s) and measure a reflected frequency response. The processor may be configured to map the reflected frequency response to finger gestures performed by a user wearing the ring. Various other related systems and methods are also disclosed.