Soli: Ubiquitous gesture sensing with millimeter wave radar
This paper presents Soli, a new, robust, high-resolution, low-power, miniature gesture
sensing technology for human-computer interaction based on millimeter-wave radar. We …
sensing technology for human-computer interaction based on millimeter-wave radar. We …
3D skeleton-based human action classification: A survey
LL Presti, M La Cascia - Pattern Recognition, 2016 - Elsevier
In recent years, there has been a proliferation of works on human action classification from
depth sequences. These works generally present methods and/or feature representations …
depth sequences. These works generally present methods and/or feature representations …
Device-free wireless sensing for human detection: The deep learning perspective
Currently, developments in wireless sensing technologies have shown that wireless signals
can be employed to transmit information between wireless communication devices and are …
can be employed to transmit information between wireless communication devices and are …
An efficient pointlstm for point clouds based gesture recognition
Point clouds contain rich spatial information, which provides complementary cues for
gesture recognition. In this paper, we formulate gesture recognition as an irregular …
gesture recognition. In this paper, we formulate gesture recognition as an irregular …
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 …
Efficient temporal sequence comparison and classification using gram matrix embeddings on a riemannian manifold
In this paper we propose a new framework to compare and classify temporal sequences.
The proposed approach captures the underlying dynamics of the data while avoiding …
The proposed approach captures the underlying dynamics of the data while avoiding …
Subspace clustering for action recognition with covariance representations and temporal pruning
This paper tackles the problem of human action recognition, defined as classifying which
action is displayed in a trimmed sequence, from skeletal data. Albeit state-of-the-art …
action is displayed in a trimmed sequence, from skeletal data. Albeit state-of-the-art …
Human skeleton representation for 3D action recognition based on complex network coding and LSTM
X Shen, Y Ding - Journal of Visual Communication and Image …, 2022 - Elsevier
Abstract 3D skeleton sequences contain more effective and discriminative information than
RGB video and are more suitable for human action recognition. Accurate extraction of …
RGB video and are more suitable for human action recognition. Accurate extraction of …
Image webs: Computing and exploiting connectivity in image collections
K Heath, N Gelfand, M Ovsjanikov… - 2010 IEEE Computer …, 2010 - ieeexplore.ieee.org
The widespread availability of digital cameras and ubiquitous Internet access have
facilitated the creation of massive image collections. These collections can be highly …
facilitated the creation of massive image collections. These collections can be highly …
Learning composite latent structures for 3D human action representation and recognition
P Wei, H Sun, N Zheng - IEEE Transactions on Multimedia, 2019 - ieeexplore.ieee.org
3D human action representation and recognition are important issues in many multimedia
applications. While latent state approaches have been widely used for action modeling …
applications. While latent state approaches have been widely used for action modeling …