AIMC Topic: Biometry
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Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics.
American journal of ophthalmology
Feb 9, 2021
PURPOSE: To compare the achieved vault using the conventional manufacturer's nomogram and the predicted vault using machine learning, in a large cohort of eyes undergoing posterior chamber phakic intraocular lens (EVO implantable collamer lens [ICL];...
Quantum-inspired canonical correlation analysis for exponentially large dimensional data.
Neural networks : the official journal of the International Neural Network Society
Dec 9, 2020
Canonical correlation analysis (CCA) serves to identify statistical dependencies between pairs of multivariate data. However, its application to high-dimensional data is limited due to considerable computational complexity. As an alternative to the c...
Artificial Intelligence, Machine Learning and Calculation of Intraocular Lens Power.
Klinische Monatsblatter fur Augenheilkunde
Nov 23, 2020
BACKGROUND AND PURPOSE: In the last decade, artificial intelligence and machine learning algorithms have been more and more established for the screening and detection of diseases and pathologies, as well as for describing interactions between measur...
Biometric Signals Estimation Using Single Photon Camera and Deep Learning.
Sensors (Basel, Switzerland)
Oct 27, 2020
The problem of performing remote biomedical measurements using just a video stream of a subject face is called remote photoplethysmography (rPPG). The aim of this work is to propose a novel method able to perform rPPG using single-photon avalanche di...
Contact-Free Multispectral Identity Verification System Using Palm Veins and Deep Neural Network.
Sensors (Basel, Switzerland)
Oct 6, 2020
Devices and systems secured by biometric factors became a part of our lives because they are convenient, easy to use, reliable, and secure. They use information about unique features of our bodies in order to authenticate a user. It is possible to en...
Accuracy of Artificial Intelligence Formulas and Axial Length Adjustments for Highly Myopic Eyes.
American journal of ophthalmology
Sep 18, 2020
PURPOSE: To compare the accuracy of artificial intelligence formulas (Kane formula and Radial Basis Function [RBF] 2.0) and other formulas, including the original and modified Wang-Koch (MWK) adjustment formulas for Holladay 1 (H1-MWK) and SRK/T (SRK...
ECG Biometrics Using Deep Learning and Relative Score Threshold Classification.
Sensors (Basel, Switzerland)
Jul 22, 2020
The field of biometrics is a pattern recognition problem, where the individual traits are coded, registered, and compared with other database records. Due to the difficulties in reproducing Electrocardiograms (ECG), their usage has been emerging in t...
Can Ensemble Deep Learning Identify People by Their Gait Using Data Collected from Multi-Modal Sensors in Their Insole?
Sensors (Basel, Switzerland)
Jul 18, 2020
Gait is a characteristic that has been utilized for identifying individuals. As human gait information is now able to be captured by several types of devices, many studies have proposed biometric identification methods using gait information. As rese...
Using a Rotating 3D LiDAR on a Mobile Robot for Estimation of Person's Body Angle and Gender.
Sensors (Basel, Switzerland)
Jul 16, 2020
We studied the use of a rotating multi-layer 3D Light Detection And Ranging (LiDAR) sensor (specifically the Velodyne HDL-32E) mounted on a social robot for the estimation of features of people around the robot. While LiDARs are often used for robot ...
Deep user identification model with multiple biometric data.
BMC bioinformatics
Jul 16, 2020
BACKGROUND: Recognition is an essential function of human beings. Humans easily recognize a person using various inputs such as voice, face, or gesture. In this study, we mainly focus on DL model with multi-modality which has many benefits including ...
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