Reliability of a human pose tracking algorithm for measuring upper limb joints: comparison with photography-based goniometry.

ABSTRACT:

Background

Range of motion (ROM) measurements are essential for diagnosing and evaluating upper extremity conditions. Clinical goniometry is the most commonly used methods but it is time-consuming and skill-demanding. Recent advances in human tracking algorithm suggest potential for automatic angle measuring from RGB images. It provides an attractive alternative for at-distance measuring. However, the reliability of this method has not been fully established. The purpose of this study is to evaluate if the results of algorithm are as reliable as human raters in upper limb movements.

Methods

Thirty healthy young adults (20 males, 10 females) participated in this study. Participants were asked to performed a 6-motion task including movement of shoulder, elbow and wrist. Images

SUBMITTER: Fan J 

PROVIDER: S-EPMC9490917 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature