A review on computer vision-based methods for human action recognition

M Al-Faris, J Chiverton, D Ndzi, AI Ahmed - Journal of imaging, 2020 - mdpi.com
Human action recognition targets recognising different actions from a sequence of
observations and different environmental conditions. A wide different applications is …

A sequential deep learning application for recognising human activities in smart homes

D Liciotti, M Bernardini, L Romeo, E Frontoni - Neurocomputing, 2020 - Elsevier
The recent advancement and development of computer electronic devices has led to the
adoption of smart home sensing systems, stimulating the demand for associated products …

WiWeHAR: Multimodal human activity recognition using Wi-Fi and wearable sensing modalities

M Muaaz, A Chelli, AA Abdelgawwad… - IEEE …, 2020 - ieeexplore.ieee.org
Robust and accurate human activity recognition (HAR) systems are essential to many
human-centric services within active assisted living and healthcare facilities. Traditional …

A survey on human group activity recognition by analysing person action from video sequences using machine learning techniques

S Kulkarni, S Jadhav, D Adhikari - Optimization in machine learning and …, 2020 - Springer
There has been a tremendous advance in machine learning techniques especially for
automatic group activity recognition (GAR) over the past few decades. This review article …

Graph-based semi-supervised learning for activity labeling in health smart home

Y Hu, B Wang, Y Sun, J An, Z Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Health Smart Home (HSH) is an important part of smart city. This technology provides a new
kind of remote medical treatment, and can effectively alleviate the shortage of medical …

Automatic prediction of group cohesiveness in images

S Ghosh, A Dhall, N Sebe… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article discusses the prediction of cohesiveness of a group of people in images. The
cohesiveness of a group is an essential indicator of the emotional state, structure, and …

Genetic algorithm–optimized support vector machine for real-time activity recognition in health smart home

Y Hu, B Wang, Y Sun, J An… - International Journal of …, 2020 - journals.sagepub.com
Health smart home, as a typical application of Internet of things, provides a new solution for
remote medical treatment. It can effectively relieve pressure from shortage of medical …

Working together: a DBN approach for individual and group activity recognition

S Rossi, G Acampora, M Staffa - Journal of Ambient Intelligence and …, 2020 - Springer
Human activity recognition is gaining more and more the attention of researchers due to its
applicability in many different fields such as health monitoring, smart environments, etc …

Abnormal behavior detection based on the motion-changed rules

LIU Shuoyan, XUE Hao, XU Chunjie… - 2020 15th IEEE …, 2020 - ieeexplore.ieee.org
Abnormal activity will lead to the uncommon changes in the crowd behavior. In other words,
the crowd motion changes conforms to certain rules for valid behaviors, while for abnormal …

Individual action and group activity recognition in soccer videos

BGA Gerats - 2020 - essay.utwente.nl
Data and statistics are key to soccer analytics and have important roles in player evaluation
and fan engagement. Automatic recognition of soccer events-such as passes and corners …