Action recognition from video data in the medical domain

31 January 2020

(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.

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