Deep Learning

  • Action recognition

Skeleton-based action recognition becomes popular in recent years due to its simplicity, robustness, and view-invariance. Traditionally, various feature extraction and classifier learning approaches have been studied for skeleton-based action recognition. Recent researches proposed to develop RNN-based learning methods to model the contextual dependencies in the temporal domain. In this work, we are studying skeleton-based action recognition using a deep learning framework.