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Photoplethysmography (PPG) Sensors, widely deployed in smartwatches, offer a simple and non-invasive authentication approach for daily use. However, PPG authentication faces reliability issues due to motion artifacts from physical activity…

计算机视觉与模式识别 · 计算机科学 2025-04-01 Jiankai Tang , Jiacheng Liu , Renling Tong , Kai Zhu , Zhe Li , Xin Yi , Junliang Xing , Yuanchun Shi , Yuntao Wang

Biometric authentication prospered because of its convenient use and security. Early generations of biometric mechanisms suffer from spoofing attacks. Recently, unobservable physiological signals (e.g., Electroencephalogram,…

密码学与安全 · 计算机科学 2024-01-29 Lin Li , Chao Chen , Lei Pan , Leo Yu Zhang , Zhifeng Wang , Jun Zhang , Yang Xiang

As smart wearable devices become increasingly powerful and pervasive, protecting user privacy on these devices has emerged as a critical challenge. While existing authentication mechanisms are available for interaction-rich devices such as…

Photoplethysmography (PPG) is a non-invasive technology that measures changes in blood volume in the microvascular bed of tissue. It is commonly used in medical devices such as pulse oximeters and wrist worn heart rate monitors to monitor…

Objective- Heart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The task becomes very difficult due to the presence of various…

The security of private information is becoming the bedrock of an increasingly digitized society. While the users are flooded with passwords and PINs, these gold-standard explicit authentications are becoming less popular and valuable.…

信号处理 · 电气工程与系统科学 2020-08-26 William Cheung , Sudip Vhaduri

Photoplethysmography (PPG) sensors allow for non-invasive and comfortable heart-rate (HR) monitoring, suitable for compact wrist-worn devices. Unfortunately, Motion Artifacts (MAs) severely impact the monitoring accuracy, causing high…

PPG based heart rate (HR) monitoring has recently attracted much attention with the advent of wearable devices such as smart watches and smart bands. However, due to severe motion artifacts (MA) caused by wristband stumbles, PPG based HR…

信号处理 · 电气工程与系统科学 2020-10-05 Mahmoud Essalat , Mahdi Boloursaz Mashhadi , Farokh Marvasti

Photoplethysmography (PPG) signals, which measure changes in blood volume in the skin using light, have recently gained attention in biometric authentication because of their non-invasive acquisition, inherent liveness detection, and…

计算机视觉与模式识别 · 计算机科学 2025-11-07 Arfina Rahman , Mahesh Banavar

Amongst all medical biometric traits, Photoplethysmograph (PPG) is the easiest to acquire. PPG records the blood volume change with just combination of Light Emitting Diode and Photodiode from any part of the body. With IoT and smart homes'…

密码学与安全 · 计算机科学 2017-12-25 Umang Yadav , Sherif N Abbas , Dimitrios Hatzinakos

Wearable devices with photoplethysmography (PPG) sensors are widely used to monitor heart rate (HR), yet often suffer from accuracy issues. However, users typically do not receive an indication of potential measurement errors. We present a…

Smartwatches or fitness trackers have garnered a lot of popularity as potential health tracking devices due to their affordable and longitudinal monitoring capabilities. To further widen their health tracking capabilities, in recent years…

Hearth Rate (HR) monitoring is increasingly performed in wrist-worn devices using low-cost photoplethysmography (PPG) sensors. However, Motion Artifacts (MAs) caused by movements of the subject's arm affect the performance of PPG-based HR…

信号处理 · 电气工程与系统科学 2022-03-29 Alessio Burrello , Daniele Jahier Pagliari , Matteo Risso , Simone Benatti , Enrico Macii , Luca Benini , Massimo Poncino

Recently, physiological signal-based biometric systems have received wide attention. Unlike traditional biometric features, physiological signals can not be easily compromised (usually unobservable to human eyes). Photoplethysmography (PPG)…

密码学与安全 · 计算机科学 2024-10-28 Lin Li , Chao Chen , Lei Pan , Yonghang Tai , Jun Zhang , Yang Xiang

Blood oxygen saturation (SpO2) is a vital marker for healthcare monitoring. Traditional SpO2 estimation methods often rely on complex clinical calibration, making them unsuitable for low-power, wearable applications. In this paper, we…

信号处理 · 电气工程与系统科学 2026-01-12 Zequan Liang , Ruoyu Zhang , Wei Shao , krishna Karthik , Ehsan Kourkchi , Setareh Rafatirad , Houman Homayoun

This work explores the feasibility of employing ultrasound (US) US technology in a wrist-worn IoT device for low-power, high-fidelity heart-rate (HR) extraction. US offers deep tissue penetration and can monitor pulsatile arterial blood…

信号处理 · 电气工程与系统科学 2024-10-22 Marco Giordano , Christoph Leitner , Christian Vogt , Luca Benini , Michele Magno

Smartwatches have become popular for monitoring physiological parameters outside clinical settings. Using reflective photoplethysmography (PPG) sensors, such watches can non-invasively estimate heart rate (HR) in everyday environments and…

信号处理 · 电气工程与系统科学 2024-12-24 Manuel Meier , Christian Holz

Wrist-worn smart devices are providing increased insights into human health, behaviour and performance through sophisticated analytics. However, battery life, device cost and sensor performance in the face of movement-related artefact…

信号处理 · 电气工程与系统科学 2020-04-02 Eoin Brophy , Willie Muehlhausen , Alan F. Smeaton , Tomas E. Ward

In recent years, there has been a shift of interest towards the field of biometric authentication, which proves the identity of the user using their biological characteristics. We explore a novel biometric based on the electrical activity…

密码学与安全 · 计算机科学 2019-06-24 Nikita Samarin , Donald Sannella

Cardiac abnormalities affecting heart rate and rhythm are commonly observed in both healthy and acutely unwell people. Although many of these are benign, they can sometimes indicate a serious health risk. ECG monitors are typically used to…

信号处理 · 电气工程与系统科学 2018-07-12 Stewart Whiting , Samuel Moreland , Jason Costello , Glen Colopy , Christopher McCann
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