Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey
In recent years, wearable technology is interwoven with our everyday lives because of its
commoditization and comfort. Security and privacy become a big concern as many user …
commoditization and comfort. Security and privacy become a big concern as many user …
Non-invasive blood pressure estimation from ECG using machine learning techniques
Background: Blood pressure (BP) measurements have been used widely in clinical and
private environments. Recently, the use of ECG monitors has proliferated; however, they are …
private environments. Recently, the use of ECG monitors has proliferated; however, they are …
[HTML][HTML] Multi-level information fusion for learning a blood pressure predictive model using sensor data
The availability of commercial wearable bio-sensors provides an opportunity for developing
smart phone applications for real-time diagnosis that can be used to improve the health of …
smart phone applications for real-time diagnosis that can be used to improve the health of …
ECG-based authentication systems: a comprehensive and systematic review
S Asadianfam, MJ Talebi, E Nikougoftar - Multimedia Tools and …, 2024 - Springer
In recent years, security systems based on biometric features have become a promising
solution to identify humans, and it is preferred over traditional methods working based on …
solution to identify humans, and it is preferred over traditional methods working based on …
[PDF][PDF] Multi-modal palm-print and hand-vein biometric recognition at sensor level fusion.
When it is important to authenticate a person based on his or her biometric qualities, most
systems use a single modality (eg fingerprint or palm print) for further analysis at higher …
systems use a single modality (eg fingerprint or palm print) for further analysis at higher …
A smart hardware security engine combining entropy sources of ECG, HRV, and SRAM PUF for authentication and secret key generation
Securing personal data in wearable devices is becoming a crucial necessity as wearable
devices are being deployed ubiquitously, which inadvertently exposes them to more …
devices are being deployed ubiquitously, which inadvertently exposes them to more …
[HTML][HTML] Estimation and tracking of blood pressure using routinely acquired photoplethysmographic signals and deep neural networks
O Schlesinger, N Vigderhouse, Y Moshe… - Critical Care …, 2020 - journals.lww.com
Objectives: Continuous tracking of blood pressure in critically ill patients allows rapid
identification of clinically important changes and helps guide treatment. Classically, such …
identification of clinically important changes and helps guide treatment. Classically, such …
[PDF][PDF] Fingereye: improvising security and optimizing ATM transaction time based on iris-scan authentication.
The tumultuous increase in ATM attacks using eavesdropping, shouldersurfing, has risen
great concerns. Attackers often target the authentication stage where a customer may be …
great concerns. Attackers often target the authentication stage where a customer may be …
[PDF][PDF] Portable and efficient fingerprint authentication system based on a microcontroller
MG Vargas, FE Hoyos, JE Candelo - International journal of Electrical …, 2019 - academia.edu
This paper presents the design of a fingerprint authentication system based on a simple
microcontroller and the fingerprint sensor. The circuit diagram and details regarding the …
microcontroller and the fingerprint sensor. The circuit diagram and details regarding the …
[PDF][PDF] User identification system for inked fingerprint pattern based on central moments
The use of the fingerprint recognition has been and remains very important in many security
applications and licensing systems. Fingerprint recognition is required in many areas such …
applications and licensing systems. Fingerprint recognition is required in many areas such …