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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 …
A review of convolutional-neural-network-based action recognition
G Yao, T Lei, J Zhong - Pattern Recognition Letters, 2019 - Elsevier
Video action recognition is widely applied in video indexing, intelligent surveillance,
multimedia understanding, and other fields. Recently, it was greatly improved by …
multimedia understanding, and other fields. Recently, it was greatly improved by …
Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
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 …
A survey on video action recognition in sports: Datasets, methods and applications
To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …
approach. Compared with image-based action recognition, videos provide much more …
Vision-based human action recognition: An overview and real world challenges
Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …
become one of the most attractive research fields. Ambiguities in recognizing actions does …
A survey of depth and inertial sensor fusion for human action recognition
A number of review or survey articles have previously appeared on human action
recognition where either vision sensors or inertial sensors are used individually …
recognition where either vision sensors or inertial sensors are used individually …
Robust human activity recognition using multimodal feature-level fusion
Automated recognition of human activities or actions has great significance as it
incorporates wide-ranging applications, including surveillance, robotics, and personal …
incorporates wide-ranging applications, including surveillance, robotics, and personal …
RGB-D-based action recognition datasets: A survey
Human action recognition from RGB-D (Red, Green, Blue and Depth) data has attracted
increasing attention since the first work reported in 2010. Over this period, many benchmark …
increasing attention since the first work reported in 2010. Over this period, many benchmark …
Recent advances in video-based human action recognition using deep learning: A review
Video-based human action recognition has become one of the most popular research areas
in the field of computer vision and pattern recognition in recent years. It has a wide variety of …
in the field of computer vision and pattern recognition in recent years. It has a wide variety of …