(successfully finished January 2020)
In this project, the use of state-of-the-art action recognition technology in healthcare is studied. The aim is to identify clinically relevant actions from video data. Which actions performed during a medical consultations are relevant to report? Do these consist of multiple sub-actions? How can these be recognized? These kinds of questions will be studied. Paper available on the publications page.