Millimeter-Wave Sensing for Biometric Authentication and Vital Monitoring
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Summary
Problems
Existing biometric systems for authentication, such as fingerprinting, vascular scanning, iris/retina scanning, and facial recognition, face challenges including ease of use, vulnerability to attacks like skimming and identity theft, and accuracy issues, particularly when users apply nail polish, skin coloring, or have medical conditions.
Innovation solutions
A system and method using millimeter-wave (mm-wave) radar to sense and authenticate individuals by transmitting electromagnetic waves between 30 GHz and 300 GHz, analyzing reflected waves to determine the position, vital signs, and biometric characteristics of a person without the need for direct contact or intrusive devices.
TRIZ Analysis
Specific contradictions:
General conflict description:
Principle concept:
If optical-based biometric systems (fingerprint, facial recognition, iris scanning) are used for authentication, then ease of operation is improved, but security against skimming and identity theft attacks deteriorates
Why choose this principle:
The patent replaces optical-based biometric systems with millimeter-wave radar sensing. Instead of using optical cameras and light-based recognition, the system employs electromagnetic waves in the millimeter-wave spectrum to detect and analyze biometric characteristics such as fingerprint patterns, facial structure, and iris features. This substitution provides penetration through certain materials and resistance to optical-based spoofing attacks while maintaining ease of operation.
Principle concept:
If optical-based biometric systems (fingerprint, facial recognition, iris scanning) are used for authentication, then ease of operation is improved, but security against skimming and identity theft attacks deteriorates
Why choose this principle:
The patent changes the fundamental parameter of biometric detection from optical wavelength to millimeter-wave frequency. By operating in the 30-300 GHz range, the system achieves different interaction properties with biological tissues and materials, enabling penetration through skin, nail polish, and other obstacles that block optical signals, thereby improving both security and reliability.
Application Domain
Data Source
AI summary:
A system and method using millimeter-wave (mm-wave) radar to sense and authenticate individuals by transmitting electromagnetic waves between 30 GHz and 300 GHz, analyzing reflected waves to determine the position, vital signs, and biometric characteristics of a person without the need for direct contact or intrusive devices.
Abstract
A sensor and method for sleep position detection including: a transmitter configured to transmit electromagnetic waves between 30 GHz and 300 GHz; a receiver configured to receive the electromagnetic waves from the transmitter, wherein the transmitter and receiver are positioned in relation to person sleeping such that the receiver receives reflected electromagnetic waves; and a control station configured to analyze the transmitted and received electromagnetic waves to determine a position of the person sleeping. In some cases, the method may include: forming a radar cube of results; performing a fast fourier transform (FFT) on the radar cube; applying a constant false alarm rate (CFAR) processor to the FFT data; determining a capon gradient; forming a 5-dimensional feature space based on the capon gradient; and conducting an optimization of SVM.