Moving towards intelligent telemedicine: Computer vision measurement of human movement.

ABSTRACT:

Background

Telemedicine video consultations are rapidly increasing globally, accelerated by the COVID-19 pandemic. This presents opportunities to use computer vision technologies to augment clinician visual judgement because video cameras are so ubiquitous in personal devices and new techniques, such as DeepLabCut (DLC) can precisely measure human movement from smartphone videos. However, the accuracy of DLC to track human movements in videos obtained from laptop cameras, which have a much lower FPS, has never been investigated; this is a critical gap because patients use laptops for most telemedicine consultations.

Objectives

To determine the validity and reliability of DLC applied to laptop videos to measure finger tapping, a validated test of human movement.

Method

SUBMITTER: Li R 

PROVIDER: S-EPMC9428734 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature