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

ABSTRACT:

Background

Mobile phones, laptops, and computers have become an indispensable part of our lives in recent years. Workers may have an incorrect posture when using a computer for a prolonged period of time. Using these products with an incorrect posture can lead to neck pain. However, there are limited data on postures in real-life situations.

Methods

In this study, we used a common camera to record images of subjects carrying out three different tasks (a typing task, a gaming task, and a video-watching task) on a computer. Different artificial intelligence (AI)-based pose estimation approaches were applied to analyze the head's yaw, pitch, and roll and coordinate information of the eyes, nose, neck, and shoulders in the images. We used machine learning models such as random f

SUBMITTER: Kang JH 

PROVIDER: S-EPMC10744896 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature