Human action recognition: A taxonomy-based survey, updates, and opportunities
Human action recognition systems use data collected from a wide range of sensors to
accurately identify and interpret human actions. One of the most challenging issues for …
accurately identify and interpret human actions. One of the most challenging issues for …
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …
the computer vision. It has critical application in wide variety of tasks including gaming …
Vision-based human activity recognition: a survey
Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …
human activities using acquired information from various types of sensors. Although several …
Ntu rgb+ d 120: A large-scale benchmark for 3d human activity understanding
Research on depth-based human activity analysis achieved outstanding performance and
demonstrated the effectiveness of 3D representation for action recognition. The existing …
demonstrated the effectiveness of 3D representation for action recognition. The existing …
A comprehensive survey of vision-based human action recognition methods
Although widely used in many applications, accurate and efficient human action recognition
remains a challenging area of research in the field of computer vision. Most recent surveys …
remains a challenging area of research in the field of computer vision. Most recent surveys …
Spatial temporal graph convolutional networks for skeleton-based action recognition
S Yan, Y ** a markerless system
Background The study of human movement within sports biomechanics and rehabilitation
settings has made considerable progress over recent decades. However, develo** a …
settings has made considerable progress over recent decades. However, develo** a …
Ntu rgb+ d: A large scale dataset for 3d human activity analysis
Recent approaches in depth-based human activity analysis achieved outstanding
performance and proved the effectiveness of 3D representation for classification of action …
performance and proved the effectiveness of 3D representation for classification of action …
Global context-aware attention lstm networks for 3d action recognition
Abstract Long Short-Term Memory (LSTM) networks have shown superior performance in
3D human action recognition due to their power in modeling the dynamics and …
3D human action recognition due to their power in modeling the dynamics and …
Skeleton-based human action recognition with global context-aware attention LSTM networks
Human action recognition in 3D skeleton sequences has attracted a lot of research attention.
Recently, long short-term memory (LSTM) networks have shown promising performance in …
Recently, long short-term memory (LSTM) networks have shown promising performance in …