[HTML][HTML] A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and …
A Khraisat, A Alazab - Cybersecurity, 2021 - Springer
Abstract The Internet of Things (IoT) has been rapidly evolving towards making a greater
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …
[HTML][HTML] Survey of intrusion detection systems: techniques, datasets and challenges
Cyber-attacks are becoming more sophisticated and thereby presenting increasing
challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade …
challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade …
[HTML][HTML] Human activity recognition via hybrid deep learning based model
In recent years, Human Activity Recognition (HAR) has become one of the most important
research topics in the domains of health and human-machine interaction. Many Artificial …
research topics in the domains of health and human-machine interaction. Many Artificial …
A model-based gait recognition method with body pose and human prior knowledge
We propose in this paper a novel model-based gait recognition method, PoseGait. Gait
recognition is a challenging and attractive task in biometrics. Early approaches to gait …
recognition is a challenging and attractive task in biometrics. Early approaches to gait …
A new representation of skeleton sequences for 3d action recognition
This paper presents a new method for 3D action recognition with skeleton sequences (ie, 3D
trajectories of human skeleton joints). The proposed method first transforms each skeleton …
trajectories of human skeleton joints). The proposed method first transforms each skeleton …
Enhanced skeleton visualization for view invariant human action recognition
Human action recognition based on skeletons has wide applications in human–computer
interaction and intelligent surveillance. However, view variations and noisy data bring …
interaction and intelligent surveillance. However, view variations and noisy data bring …
[HTML][HTML] Graph transformer network with temporal kernel attention for skeleton-based action recognition
Skeleton-based human action recognition has caused wide concern, as skeleton data can
robustly adapt to dynamic circumstances such as camera view changes and background …
robustly adapt to dynamic circumstances such as camera view changes and background …
Modeling temporal dynamics and spatial configurations of actions using two-stream recurrent neural networks
Recently, skeleton based action recognition gains more popularity due to cost-effective
depth sensors coupled with real-time skeleton estimation algorithms. Traditional approaches …
depth sensors coupled with real-time skeleton estimation algorithms. Traditional approaches …
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 …
Human action recognition by representing 3d skeletons as points in a lie group
R Vemulapalli, F Arrate… - Proceedings of the IEEE …, 2014 - openaccess.thecvf.com
Recently introduced cost-effective depth sensors coupled with the real-time skeleton
estimation algorithm of Shotton et al.[16] have generated a renewed interest in skeleton …
estimation algorithm of Shotton et al.[16] have generated a renewed interest in skeleton …