Exploring image and skeleton-based action recognition approaches for clinical in-bed classification of simulated epileptic seizure movements

Tamás Karácsony, Nicholas Fearns, Denise Birk, Selina Denise Trapp, Katharina Ernst, Christian Vollmar, Jan Rémi, László Attila Jeni, Fernando De la Torre, João Paulo Silva Cunha

Abstract: Highlights•Novel study to classify simulated Movements of Interest (MOIs) by action recognition.•Acquired a novel 7-class simulated seizure MOI dataset acted by 8 epileptologists.•Image-based vs. skeleton-based action recognition are compared for MOI classification.•Highlights benefits of skeleton-based action recognition with transfer learning.•Future work should integrate skeleton-based methods with hand gesture recognition.

External IDs:doi:10.1016/j.eswa.2025.128043