Human gesture recognition has become a pillar of today's intelligent Human-Computer
Interfaces as it typically provides more comfortable and ubiquitous interaction. Such expert …

RGB-D-based human action recognition has attracted much attention recently because it
can provide more complementary information than a single modality. However, it is difficult …

Human action recognition (HAR) in RGB-D videos has been widely investigated since the
release of affordable depth sensors. Currently, unimodal approaches (eg, skeleton-based …

Human motion recognition is one of the most important branches of human-centered
research activities. In recent years, motion recognition based on RGB-D data has attracted …

The multi-modality based human action recognition is an increasing topic. Multi-modality
can provide more abundant and complementary information than single modality. However …

Human action recognition based on 3D data is attracting increasing attention because it
could provide more abundant spatial and temporal information compared with RGB videos …

Gesture recognition has attracted considerable attention owing to its great potential in
applications. Although the great progress has been made recently in multi-modal learning …

Extracting effective spatial-temporal information is significantly important for video-based
action recognition. Recently 3D convolutional neural networks (3D CNNs) that could …

This work is motivated by the tremendous achievement of deep learning models for
computer vision tasks, particularly for human activity recognition. It is gaining more attention …

Human action recognition is an important field in computer vision that has attracted
remarkable attention from researchers. This survey aims to provide a comprehensive …