Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Masking and Demasking Agents

Masking and Demasking Agents

EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...

Force Classification

Force Classification

Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Marfan Syndrome Prediction Via Graph Neural Networks on 3D Facial Cues.

IEEE journal of biomedical and health informatics·2026

Same author

Fecal sludge and adjacent drinking water as reservoirs of multidrug resistant ESBL-producing pathogenic Escherichia coli in Rohingya Camps, Bangladesh.

Scientific reports·2026

Same author

Live nontypeable Haemophilus influenzae exacerbates respiratory syncytial virus-associated lower airway inflammation.

Respiratory research·2026

Same author

Network and Factor Structure of Depression and Anxiety Symptoms in Telemental Healthcare Patients From Bangladesh: Evidence for Precision Mental Healthcare.

Depression and anxiety·2026

Same author

Draft genome sequence of <i>Pseudomonas aeruginosa</i> SAU_MI_1F1 isolated from feces of cattle in Dhaka, Bangladesh.

Microbiology resource announcements·2026

Same author

Integrated in silico and in vitro assessment of Azadirachta indica leaf extract against multi-drug resistant Citrobacter koseri and Staphylococcus saprophyticus.

Scientific reports·2026

Same journal

Implementation of a pragmatic pathway to ensure high-quality processing of heterogeneous remote health sensing data.

Smart health (Amsterdam, Netherlands)·2026

Same journal

Technoethics and recommendations for technological interventions to reduce loneliness in older adults.

Smart health (Amsterdam, Netherlands)·2026

Same journal

Mobile app-based study of driving behaviors under the influence of cannabis.

Smart health (Amsterdam, Netherlands)·2026

Same journal

Patient-specific deep offline artificial pancreas for blood glucose regulation in type 1 diabetes.

Smart health (Amsterdam, Netherlands)·2026

Same journal

Ultra low-power, wearable, accelerated shallow-learning fall detection for elderly at-risk persons.

Smart health (Amsterdam, Netherlands)·2025

Same journal

Explainable AI and transformer models: Unraveling the nutritional influences on Alzheimer's disease mortality.

Smart health (Amsterdam, Netherlands)·2024

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 11, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

Real-time face mask position recognition system based on MobileNet model.

Md Hafizur Rahman¹, Mir Kanon Ara Jannat², Md Shafiqul Islam³

¹Department of Electrical and Electronic Engineering, Islamic University, Kushtia 7003, Bangladesh.

Smart Health (Amsterdam, Netherlands)

|February 6, 2023

Summary

This summary is machine-generated.

A new system automatically detects correct face mask usage, crucial for preventing COVID-19 spread. This deep learning model achieves over 99% accuracy, enhancing public health measures.

Keywords:

COVID-19 Dataset Face-mask position recognition MobileNet Real-time Transfer learning

More Related Videos

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

Related Experiment Videos

Last Updated: Aug 11, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

Area of Science:

Computer Vision
Artificial Intelligence
Public Health

Background:

COVID-19 remains a significant global health threat, necessitating effective preventative measures.
Improper face mask usage, including covering the nose and mouth, compromises protection.
Automatic recognition systems can enforce proper mask-wearing in public spaces.

Purpose of the Study:

To develop and evaluate a deep learning model for automatic face mask position recognition.
To create and release a diverse dataset for training and testing face mask detection models.
To compare the proposed model's performance against existing methods.

Main Methods:

A new dataset of 391 individuals' face mask images was collected and released.
Six pre-trained deep learning architectures were studied.
The state-of-the-art MobileNet model was fine-tuned for face mask recognition.

Main Results:

The fine-tuned MobileNet model achieved 99.23% accuracy, 99.22% F1-score, and 99.19% Cohen's Kappa.
The proposed model outperformed existing methods by approximately 2% in accuracy.
The system demonstrated robust performance on both real and synthetic datasets without accuracy degradation.

Conclusions:

An automatic face mask position recognition system was successfully developed.
The system accurately identifies correct and incorrect face mask usage.
This technology can significantly contribute to public health by ensuring proper mask adherence.