A survey of robot learning strategies for human-robot collaboration in industrial settings

D Mukherjee, K Gupta, LH Chang, H Najjaran - Robotics and Computer …, 2022 - Elsevier
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 …

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 …

Artificial intelligence for the metaverse: A survey

T Huynh-The, QV Pham, XQ Pham, TT Nguyen… - … Applications of Artificial …, 2023 - Elsevier
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 …

Vision-based human activity recognition: a survey

DR Beddiar, B Nini, M Sabokrou, A Hadid - Multimedia Tools and …, 2020 - Springer
Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

A survey on video action recognition in sports: Datasets, methods and applications

F Wu, Q Wang, J Bian, N Ding, F Lu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …

Vision-based human action recognition: An overview and real world challenges

I Jegham, AB Khalifa, I Alouani, MA Mahjoub - Forensic Science …, 2020 - Elsevier
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 …

A survey of depth and inertial sensor fusion for human action recognition

C Chen, R Jafari, N Kehtarnavaz - Multimedia Tools and Applications, 2017 - Springer
A number of review or survey articles have previously appeared on human action
recognition where either vision sensors or inertial sensors are used individually …

Robust human activity recognition using multimodal feature-level fusion

M Ehatisham-Ul-Haq, A Javed, MA Azam… - IEEE …, 2019 - ieeexplore.ieee.org
Automated recognition of human activities or actions has great significance as it
incorporates wide-ranging applications, including surveillance, robotics, and personal …

RGB-D-based action recognition datasets: A survey

J Zhang, W Li, PO Ogunbona, P Wang, C Tang - Pattern Recognition, 2016 - Elsevier
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 …

Recent advances in video-based human action recognition using deep learning: A review

D Wu, N Sharma, M Blumenstein - 2017 International joint …, 2017 - ieeexplore.ieee.org
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 …