Human activity recognition in artificial intelligence framework: a narrative review
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …
acquisition devices such as smartphones, video cameras, and its ability to capture human …
Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects
Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …
people because of its ability to learn extensive high-level information about human activity …
Clip-event: Connecting text and images with event structures
Abstract Vision-language (V+ L) pretraining models have achieved great success in
supporting multimedia applications by understanding the alignments between images and …
supporting multimedia applications by understanding the alignments between images and …
A multimodal approach for human activity recognition based on skeleton and RGB data
Human action recognition plays a fundamental role in the design of smart solution for home
environments, particularly in relation to ambient assisted living applications, where the …
environments, particularly in relation to ambient assisted living applications, where the …
Spatial temporal graph convolutional networks for skeleton-based action recognition
Dynamics of human body skeletons convey significant information for human action
recognition. Conventional approaches for modeling skeletons usually rely on hand-crafted …
recognition. Conventional approaches for modeling skeletons usually rely on hand-crafted …
Human action recognition and prediction: A survey
Derived from rapid advances in computer vision and machine learning, video analysis tasks
have been moving from inferring the present state to predicting the future state. Vision-based …
have been moving from inferring the present state to predicting the future state. Vision-based …
Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks
Skeleton based action recognition distinguishes human actions using the trajectories of
skeleton joints, which provide a very good representation for describing actions …
skeleton joints, which provide a very good representation for describing actions …
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 on human activity recognition using vision‐based method
Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …
on the actions of subjects and the environmental conditions. The vision‐based HAR …
A comparative review of recent kinect-based action recognition algorithms
Video-based human action recognition is currently one of the most active research areas in
computer vision. Various research studies indicate that the performance of action …
computer vision. Various research studies indicate that the performance of action …