A survey on video-based human action recognition: recent updates, datasets, challenges, and applications
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …
the computer vision. It has critical application in wide variety of tasks including gaming …
Fake it till you make it: face analysis in the wild using synthetic data alone
We demonstrate that it is possible to perform face-related computer vision in the wild using
synthetic data alone. The community has long enjoyed the benefits of synthesizing training …
synthetic data alone. The community has long enjoyed the benefits of synthesizing training …
Graph stacked hourglass networks for 3d human pose estimation
T Xu, W Takano - Proceedings of the IEEE/CVF conference …, 2021 - openaccess.thecvf.com
In this paper, we propose a novel graph convolutional network architecture, Graph Stacked
Hourglass Networks, for 2D-to-3D human pose estimation tasks. The proposed architecture …
Hourglass Networks, for 2D-to-3D human pose estimation tasks. The proposed architecture …
Early, intermediate and late fusion strategies for robust deep learning-based multimodal action recognition
SY Boulahia, A Amamra, MR Madi, S Daikh - Machine Vision and …, 2021 - Springer
Multimodal action recognition techniques combine several image modalities (RGB, Depth,
Skeleton, and InfraRed) for a more robust recognition. According to the fusion level in the …
Skeleton, and InfraRed) for a more robust recognition. According to the fusion level in the …
Human pose estimation and its application to action recognition: A survey
Human pose estimation aims at predicting the poses of human body parts in images or
videos. Since pose motions are often driven by some specific human actions, knowing the …
videos. Since pose motions are often driven by some specific human actions, knowing the …
Triboelectric bending sensor based smart glove towards intuitive multi-dimensional human-machine interfaces
Recent advances in human-machine interface (HMI) lead to a renewed interest in creating
intuitive and immersive interaction. Here, we designed a simple-structured and high …
intuitive and immersive interaction. Here, we designed a simple-structured and high …
[HTML][HTML] An effective adaptive customization framework for small manufacturing plants using extreme gradient boosting-XGBoost and random forest ensemble learning …
SK Kiangala, Z Wang - Machine Learning with Applications, 2021 - Elsevier
The prevailing competitive manufacturing industry calls for continuous customer satisfaction
for business sustainability. With the emergence of the Industry 4.0 paradigm, product …
for business sustainability. With the emergence of the Industry 4.0 paradigm, product …
[HTML][HTML] Manipnet: neural manipulation synthesis with a hand-object spatial representation
Natural hand manipulations exhibit complex finger maneuvers adaptive to object shapes
and the tasks at hand. Learning dexterous manipulation from data in a brute force way …
and the tasks at hand. Learning dexterous manipulation from data in a brute force way …
[HTML][HTML] Technological advancements in the analysis of human motion and posture management through digital devices
Technological development of motion and posture analyses is rapidly progressing,
especially in rehabilitation settings and sport biomechanics. Consequently, clear …
especially in rehabilitation settings and sport biomechanics. Consequently, clear …