Indoor action recognition plays an important role in modern society, such as intelligent healthcare large mobile cabin hospitals. With the wide usage of depth sensors like Kinect, multimodal information including skeleton and RGB modalities brings a promising way to improve performance. However, existing methods are either focusing on single data modality or failed take advantage multiple modal...

Smart homes have become central in the sustainability of buildings. Recognizing human activity smart is key tool to achieve home automation. Recently, two-stream Convolutional Neural Networks (CNNs) shown promising performance for video-based action recognition. However, such models cannot act directly on 3D skeletal sequences due its limitation 2D image video inputs. Considering powerful effec...