Depth features to recognise dyadic interactions - Keçeli, Ali Seydi; Kaya, Aydın; Can, Ahmet Burak (IET computer vision, 2018)
Keywords: activity recognition; composite kernel SVM; depth feature extraction; depth frames; depth sensors; dyadic interaction recognition; feature extraction; gesture recognition; hand-crafted features; human-computer interaction; human-to-human interactions; image representation; image sequences; interaction sequence representation; joint angles; joint distances; joint spherical coordinates; K-nearest neighbour; nonlinear input mapping method; random forest; Relieff algorithm; Research Article; support vector machine; support vector machines; SVM classifiers; support vector machines; depth feature extraction; depth frames; joint angles; depth sensors; random forest; human-to-human interactions; interaction sequence representation; joint distances; joint spherical coordinates; SVM classifiers; Relieff algorithm; human-computer interaction; gesture recognition; support vector machine; feature extraction; image representation; hand-crafted features; composite kernel SVM; nonlinear input mapping method; dyadic interaction recognition; K-nearest neighbour; image sequences; activity recognition