RGB-D-based Human Motion Recognition with Deep Learning: A Survey.

•Comprehensive coverage of deep learning-based methods for RGB-D-based motion recognition.•Categorization and analysis of methods based on the different properties of the modalities.•Analysis pros and cons of the methods from the viewpoint of spatial–temporal-structural encoding.•Discussion of the challenges of RGB-D-based motion recognition.•Analysis of the limitations of available methods and discussion of potential research directions.