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 …
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
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 survey of human activity recognition in smart homes based on IoT sensors algorithms: Taxonomies, challenges, and opportunities with deep learning
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of
sensors have encouraged the development of smart environments, such as smart homes …
sensors have encouraged the development of smart environments, such as smart homes …
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 …
Interpretable 3d human action analysis with temporal convolutional networks
The discriminative power of modern deep learning models for 3D human action recognition
is growing ever so potent. In conjunction with the recent resurgence of 3D human action …
is growing ever so potent. In conjunction with the recent resurgence of 3D human action …
View adaptive neural networks for high performance skeleton-based human action recognition
Skeleton-based human action recognition has recently attracted increasing attention thanks
to the accessibility and the popularity of 3D skeleton data. One of the key challenges in …
to the accessibility and the popularity of 3D skeleton data. One of the key challenges in …
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 …
View adaptive recurrent neural networks for high performance human action recognition from skeleton data
Skeleton-based human action recognition has recently attracted increasing attention due to
the popularity of 3D skeleton data. One main challenge lies in the large view variations in …
the popularity of 3D skeleton data. One main challenge lies in the large view variations in …