AIMC Topic: Biometry

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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...
Humans Biometric Identification Biometry Veins Neural Networks, Computer Databases, Factual Hand
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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...
Humans Artificial Intelligence Lens Implantation, Intraocular Myopia, Degenerative Optics and Photonics Axial Length, Eye Adult Male Middle Aged Lenses, Intraocular Phacoemulsification Reproducibility of Results Biometry Aged Aged, 80 and over Retrospective Studies Female
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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...
Electrocardiography Biometry Databases, Factual Deep Learning Humans Neural Networks, Computer
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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...
Biometry Gait Analysis Shoes Deep Learning Wearable Electronic Devices Biometric Identification Humans
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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 ...
Biometry Humans Neural Networks, Computer Robotics Posture Sex Characteristics Lasers
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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 ...
Humans Biometry Algorithms Deep Learning Electrocardiography
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Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparison.

European radiology Jun 29, 2020
OBJECTIVE: This study determined the effect of dose reduction and kernel selection on quantifying emphysema using low-dose computed tomography (LDCT) and evaluated the efficiency of a deep learning-based kernel conversion technique in normalizing ker...
Male Humans Middle Aged Lung Diagnosis, Computer-Assisted Deep Learning Female Pulmonary Emphysema Aged Retrospective Studies Radiation Dosage Treatment Outcome Cross-Sectional Studies Tomography, X-Ray Computed Biometry Lung Diseases
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Uniformity Attentive Learning-Based Siamese Network for Person Re-Identification.

Sensors (Basel, Switzerland) Jun 26, 2020
Person re-identification (Re-ID) has a problem that makes learning difficult such as misalignment and occlusion. To solve these problems, it is important to focus on robust features in intra-class variation. Existing attention-based Re-ID methods foc...
Deep Learning Biometry Humans
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Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study.

The Lancet. Digital health Jun 23, 2020
BACKGROUND: Preterm birth is a major global health challenge, the leading cause of death in children under 5 years of age, and a key measure of a population's general health and nutritional status. Current clinical methods of estimating fetal gestati...
Data Accuracy Humans Internationality Machine Learning Algorithms Biometry Gestational Age Prospective Studies Female Fetal Development Pregnancy Ultrasonography
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Spatio-temporal visual attention modelling of standard biometry plane-finding navigation.

Medical image analysis Jun 20, 2020
We present a novel multi-task neural network called Temporal SonoEyeNet (TSEN) with a primary task to describe the visual navigation process of sonographers by learning to generate visual attention maps of ultrasound images around standard biometry p...
Ultrasonography Head Biometry Humans Neural Networks, Computer
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