Sensor-based and vision-based human activity recognition: A comprehensive survey
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …
of sensing devices, including vision sensors and embedded sensors, has motivated the …
A survey of robot learning strategies for human-robot collaboration in industrial settings
Increased global competition has placed a premium on customer satisfaction, and there is a
greater demand for manufacturers to be flexible with their products and services. This …
greater demand for manufacturers to be flexible with their products and services. This …
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 …
Multi-scale spatial temporal graph convolutional network for skeleton-based action recognition
Graph convolutional networks have been widely used for skeleton-based action recognition
due to their excellent modeling ability of non-Euclidean data. As the graph convolution is a …
due to their excellent modeling ability of non-Euclidean data. As the graph convolution is a …
An attention enhanced graph convolutional lstm network for skeleton-based action recognition
Skeleton-based action recognition is an important task that requires the adequate
understanding of movement characteristics of a human action from the given skeleton …
understanding of movement characteristics of a human action from the given skeleton …
Monocular human pose estimation: A survey of deep learning-based methods
Vision-based monocular human pose estimation, as one of the most fundamental and
challenging problems in computer vision, aims to obtain posture of the human body from …
challenging problems in computer vision, aims to obtain posture of the human body from …
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 …
Semantics-guided neural networks for efficient skeleton-based human action recognition
Skeleton-based human action recognition has attracted great interest thanks to the easy
accessibility of the human skeleton data. Recently, there is a trend of using very deep …
accessibility of the human skeleton data. Recently, there is a trend of using very deep …
Temporal attention unit: Towards efficient spatiotemporal predictive learning
Spatiotemporal predictive learning aims to generate future frames by learning from historical
frames. In this paper, we investigate existing methods and present a general framework of …
frames. In this paper, we investigate existing methods and present a general framework of …