AIMC Topic: Biometry

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An introduction to causal inference for pharmacometricians.

CPT: pharmacometrics & systems pharmacology Dec 8, 2022
As formal causal inference begins to play a greater role in disciplines that intersect with pharmacometrics, such as biostatistics, epidemiology, and artificial intelligence/machine learning, pharmacometricians may increasingly benefit from a basic f...
Humans Artificial Intelligence Biometry Confounding Factors, Epidemiologic Causality Data Interpretation, Statistical
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An autonomous decision-making framework for gait recognition systems against adversarial attack using reinforcement learning.

ISA transactions Nov 24, 2022
Gait identification based on Deep Learning (DL) techniques has recently emerged as biometric technology for surveillance. We leveraged the vulnerabilities and decision-making abilities of the DL model in gait-based autonomous surveillance systems whe...
Biometry Reinforcement, Psychology Neural Networks, Computer Technology Gait
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Gait-ViT: Gait Recognition with Vision Transformer.

Sensors (Basel, Switzerland) Sep 28, 2022
Identifying an individual based on their physical/behavioral characteristics is known as biometric recognition. Gait is one of the most reliable biometrics due to its advantages, such as being perceivable at a long distance and difficult to replicate...
Neural Networks, Computer Gait Pattern Recognition, Automated Biometry
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Gait Recognition with Self-Supervised Learning of Gait Features Based on Vision Transformers.

Sensors (Basel, Switzerland) Sep 21, 2022
Gait is a unique biometric trait with several useful properties. It can be recognized remotely and without the cooperation of the individual, with low-resolution cameras, and it is difficult to obscure. Therefore, it is suitable for crime investigati...
Supervised Machine Learning Biometry Endoscopy Gait Neural Networks, Computer
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An affordable and easy-to-use tool for automatic fish length and weight estimation in mariculture.

Scientific reports Sep 19, 2022
Common aquaculture practices involve measuring fish biometrics at different growth stages, which is crucial for feeding regime management and for improving farmed fish welfare. Fish measurements are usually carried out manually on individual fish. Ho...
Linear Models Biometry Image Processing, Computer-Assisted Fishes Fisheries Artificial Intelligence Animals
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WoX+: A Meta-Model-Driven Approach to Mine User Habits and Provide Continuous Authentication in the Smart City.

Sensors (Basel, Switzerland) Sep 15, 2022
The literature is rich in techniques and methods to perform Continuous Authentication (CA) using biometric data, both physiological and behavioral. As a recent trend, less invasive methods such as the ones based on context-aware recognition allows th...
Biometry Habits Cities Computer Security Computers Humans Artificial Intelligence
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Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data.

Scientific reports Sep 1, 2022
With the rise and ever-increasing potential of deep learning techniques in recent years, publicly available medical datasets became a key factor to enable reproducible development of diagnostic algorithms in the medical domain. Medical data contains ...
Pandemics COVID-19 Humans X-Rays Deep Learning Biometry SARS-CoV-2
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Advances in Vision-Based Gait Recognition: From Handcrafted to Deep Learning.

Sensors (Basel, Switzerland) Jul 29, 2022
Identifying people's identity by using behavioral biometrics has attracted many researchers' attention in the biometrics industry. Gait is a behavioral trait, whereby an individual is identified based on their walking style. Over the years, gait reco...
Biometry Walking Gait Deep Learning Humans Algorithms
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Electrocardiogram Biometrics Using Transformer's Self-Attention Mechanism for Sequence Pair Feature Extractor and Flexible Enrollment Scope Identification.

Sensors (Basel, Switzerland) Apr 30, 2022
The existing electrocardiogram (ECG) biometrics do not perform well when ECG changes after the enrollment phase because the feature extraction is not able to relate ECG collected during enrollment and ECG collected during classification. In this rese...
Electrocardiography Signal Processing, Computer-Assisted Humans Databases, Factual Neural Networks, Computer Atrial Fibrillation Algorithms Biometry
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Template-Driven Knowledge Distillation for Compact and Accurate Periocular Biometrics Deep-Learning Models.

Sensors (Basel, Switzerland) Mar 1, 2022
This work addresses the challenge of building an accurate and generalizable periocular recognition model with a small number of learnable parameters. Deeper (larger) models are typically more capable of learning complex information. For this reason, ...
Neural Networks, Computer Humans Biometry Deep Learning
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