User Authentication and Vital Signs Extraction from Low-Frame-Rate and Monochrome No-contact Fingerprint Captures

TL;DR

This study demonstrates that low-frame-rate monochrome fingertip videos can be used for user identification and vital sign extraction, offering a promising approach with potential applications in healthcare and security.

Contribution

The paper introduces a novel method for extracting vital signs and identifying users from low-frame-rate monochrome fingertip videos, unlike prior high-frame-rate multi-wavelength approaches.

Findings

Successful heart rate estimation from low-frame-rate videos

Effective user authentication with low error rates

Potential for improved healthcare and security applications

Abstract

We present our work on leveraging low-frame-rate monochrome (blue light) videos of fingertips, captured with an off-the-shelf fingerprint capture device, to extract vital signs and identify users. These videos utilize photoplethysmography (PPG), commonly used to measure vital signs like heart rate. While prior research predominantly utilizes high-frame-rate, multi-wavelength PPG sensors (e.g., infrared, red, or RGB), our preliminary findings demonstrate that both user identification and vital sign extraction are achievable with the low-frame-rate data we collected. Preliminary results are promising, with low error rates for both heart rate estimation and user authentication. These results indicate promise for effective biometric systems. We anticipate further optimization will enhance accuracy and advance healthcare and security.