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

Assessment of Airway, Skin Color, and Use of Accessory Muscles

Assessment of Airway, Skin Color, and Use of Accessory Muscles

A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
Introduction
The initial evaluation of a patient's respiratory system...

You might also read

Related Articles

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

Sort by

Same author

DDI-MMAF: Multi-modal affine fusion of visual and semantic representations for anticancer drug synergy prediction.

European journal of medicinal chemistry·2026

Same author

Controlled Precipitation and Microcoating Formation of Shellac via Sequential Ethanol-Water Solvent Exchange.

Langmuir : the ACS journal of surfaces and colloids·2026

Same author

[Effects of Biochar on the Growth of <i>Chrysanthemum morifolium</i> and the Structure and Function of Soil Bacterial Communities under Microplastic Pollution].

Huan jing ke xue= Huanjing kexue·2026

Same author

An Interpretable Deep Learning Framework Leveraging RNA Foundation Model and Capsule Networks for Accurate Prediction of RNA 2'-O-Methylation Sites.

Journal of chemical information and modeling·2026

Same author

Prevalence of knee pain and factors influencing its risk in ambulatory chronic stroke survivors.

Topics in stroke rehabilitation·2026

Same author

Classifying weekday-weekend sleep pattern subtypes via latent class analysis: Associations with daytime functioning.

Chronobiology international·2026

Search research articles

Related Experiment Video

Updated: Jul 7, 2025

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

Assessing Non-Specific Neck Pain through Pose Estimation from Images Based on Ensemble Learning.

Jiunn-Horng Kang^1,2, En-Han Hsieh³, Cheng-Yang Lee³

¹Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei 110, Taiwan.

Life (Basel, Switzerland)

|December 23, 2023

Summary

This study developed an AI model using common cameras to predict neck pain from computer posture. The model accurately identifies poor posture, offering a low-cost clinical evaluation tool.

Keywords:

ensemble learning image analysis machine learning non-specific neck pain pose estimation single camera video recording

More Related Videos

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

Related Experiment Videos

Last Updated: Jul 7, 2025

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

Area of Science:

Ergonomics and Human-Computer Interaction
Artificial Intelligence in Healthcare
Digital Health and Wearable Technology

Background:

Prolonged computer use is linked to poor posture and neck pain.
Limited data exists on real-world computer usage postures.
Neck pain is a common issue exacerbated by modern digital device use.

Purpose of the Study:

To develop a predictive model for identifying non-specific neck pain.
To analyze computer-user postures using AI-based pose estimation.
To evaluate the feasibility of using 2D video for posture analysis.

Main Methods:

Utilized common cameras to record computer tasks (typing, gaming, video watching).
Applied AI pose estimation to analyze head and body posture metrics.
Employed machine learning models (random forest, XGBoost, logistic regression, ensemble learning) for prediction.

Main Results:

An ensemble learning model achieved 87% accuracy, 92% precision, and 80.3% recall.
The model demonstrated high specificity (95.5%) and an AUROC of 0.878.
Feature selection and nested cross-validation refined model performance.

Conclusions:

A non-specific neck pain predictive model was successfully developed using 2D video.
The method requires no costly devices, advanced settings, or extra sensors.
This approach offers an effective clinical tool for evaluating poor posture during computer use.