%0 Computer Program
%A Butler, Rick
%D 2025
%T Python code to detect interaction of medical personnel with the operating table from surveillance videos
%U 
%R 10.4121/06d6bf50-4716-4c02-92fd-a75327ac03c5.v1
%K Action recognition
%K 2D human poses
%K Pose tracking
%K Workflow analysis
%K Operating table interaction
%K Patient interaction
%X <p>Videos of about 40 gynaecological procedures were recorded from a distance in the Leiden University Medical Center.</p><p>The purpose was to identify differences in workflow between open, minimally invasive, and robot-assisted surgery.</p><p>This code repository was used to analyse human 2D poses extracted from the videos.</p><p>It looks at movement speed and position per individual to estimate whether they interact with the operating table or not.</p><p>Additionally, it contains code to measure interaction with the patient from Noldus annotation files.</p>
%I 4TU.ResearchData