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Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
Multimodal biometric authentication systems using convolution neural network based on different level fusion of ECG and fingerprint
A multimodal biometric system integrates information from more than one biometric modality
to improve the performance of each individual biometric system and make the system robust …
to improve the performance of each individual biometric system and make the system robust …
Evolution, current challenges, and future possibilities in ECG biometrics
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …
reliable recognition in diverse applications. Commercial products using these traits for …
ResNet‐Attention model for human authentication using ECG signals
Authentication is the process of verifying the claimed identity of the user. Recently, traditional
authentication methods such as passwords, tokens, and so on are no longer used for …
authentication methods such as passwords, tokens, and so on are no longer used for …
Ecg biometric authentication: A comparative analysis
Robust authentication and identification methods become an indispensable urgent task to
protect the integrity of the devices and the sensitive data. Passwords have provided access …
protect the integrity of the devices and the sensitive data. Passwords have provided access …
A novel two-dimensional ECG feature extraction and classification algorithm based on convolution neural network for human authentication
A biometrics-based authentication system is usually a better security solution than traditional
systems which are heavily reliant on passwords, personal identification numbers or smart …
systems which are heavily reliant on passwords, personal identification numbers or smart …
PlexNet: A fast and robust ECG biometric system for human recognition
Researchers have explored the potential of electrocardiogram (ECG) to use as biometrics
from past two decades. ECG has the inherent feature of vitality for securing the biometric …
from past two decades. ECG has the inherent feature of vitality for securing the biometric …
[HTML][HTML] Using convolutional neural network and a single heartbeat for ECG biometric recognition
DA AlDuwaile, MS Islam - Entropy, 2021 - mdpi.com
The electrocardiogram (ECG) signal has become a popular biometric modality due to
characteristics that make it suitable for develo** reliable authentication systems. However …
characteristics that make it suitable for develo** reliable authentication systems. However …
An enhanced electrocardiogram biometric authentication system using machine learning
Traditional authentication systems use alphanumeric or graphical passwords, or token-
based techniques that require “something you know and something you have”. The …
based techniques that require “something you know and something you have”. The …