Metaverse for healthcare: a survey on potential applications, challenges and future directions
The rapid progress in digitalization and automation have led to an accelerated growth in
healthcare, generating novel models that are creating new channels for rendering treatment …
healthcare, generating novel models that are creating new channels for rendering treatment …
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 …
A resource conscious human action recognition framework using 26-layered deep convolutional neural network
Vision-based human action recognition (HAR) is a hot topic of research from the decade due
to a few popular applications such as visual surveillance and robotics. For correct action …
to a few popular applications such as visual surveillance and robotics. For correct action …
Federated learning for big data: A survey on opportunities, applications, and future directions
Big data has remarkably evolved over the last few years to realize an enormous volume of
data generated from newly emerging services and applications and a massive number of …
data generated from newly emerging services and applications and a massive number of …
2-D skeleton-based action recognition via two-branch stacked LSTM-RNNs
Action recognition in video sequences is an interesting field for many computer vision
applications, including behavior analysis, event recognition, and video surveillance. In this …
applications, including behavior analysis, event recognition, and video surveillance. In this …
Image representation of pose-transition feature for 3D skeleton-based action recognition
Recently, skeleton-based human action recognition has received more interest from
industrial and research communities for many practical applications thanks to the popularity …
industrial and research communities for many practical applications thanks to the popularity …
Physical activity recognition with statistical-deep fusion model using multiple sensory data for smart health
Nowadays, enhancing the living standard with smart healthcare via the Internet of Things is
one of the most critical goals of smart cities, in which artificial intelligence plays as the core …
one of the most critical goals of smart cities, in which artificial intelligence plays as the core …
Exploring sub-action granularity for weakly supervised temporal action localization
Modeling cross-video relationship is an important issue for the weakly supervised temporal
action localization task. To this end, traditional methods operate at the action level and rely …
action localization task. To this end, traditional methods operate at the action level and rely …
A new method of posture recognition based on WiFi signal
J Zuo, X Zhu, Y Peng, Z Zhao, X Wei… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Due to the disadvantages of traditional posture recognition technologies in cameras and
sensors, such as expensive, blind spots and complex deployment, a new method of posture …
sensors, such as expensive, blind spots and complex deployment, a new method of posture …
Learning 3D spatiotemporal gait feature by convolutional network for person identification
For person identification in non-interaction biometric systems, gait recognition has been
recently encouraged in literature and industrial applications instead of face recognition …
recently encouraged in literature and industrial applications instead of face recognition …