Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects
Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …
people because of its ability to learn extensive high-level information about human activity …
Big data analytics deep learning techniques and applications: A survey
HA Selmy, HK Mohamed, W Medhat - Information systems, 2024 - Elsevier
Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …
achieved great success in numerous scientific and technological disciplines, including …
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 …
Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization
A Meng, P Wang, G Zhai, C Zeng, S Chen, X Yang… - Energy, 2022 - Elsevier
Accurate electricity price forecasts is the common concern of market participants. With the
integration of high penetration of wind and solar energy resources into the power system …
integration of high penetration of wind and solar energy resources into the power system …
AAD-Net: Advanced end-to-end signal processing system for human emotion detection & recognition using attention-based deep echo state network
Speech signals are the most convenient way of communication between human beings and
the eventual method of Human–Computer Interaction (HCI) to exchange emotions and …
the eventual method of Human–Computer Interaction (HCI) to exchange emotions and …
Toward human activity recognition: a survey
Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …
community has reported numerous approaches to perform HAR. Along with HAR …
Overview of behavior recognition based on deep learning
K Hu, J Jin, F Zheng, L Weng, Y Ding - Artificial intelligence review, 2023 - Springer
Human behavior recognition has always been a hot spot for research in computer vision.
With the wide application of behavior recognition in virtual reality and short video in recent …
With the wide application of behavior recognition in virtual reality and short video in recent …
Vision transformer and deep sequence learning for human activity recognition in surveillance videos
Human Activity Recognition is an active research area with several Convolutional Neural
Network (CNN) based features extraction and classification methods employed for …
Network (CNN) based features extraction and classification methods employed for …
Age and gender recognition using a convolutional neural network with a specially designed multi-attention module through speech spectrograms
Speech signals are being used as a primary input source in human–computer interaction
(HCI) to develop several applications, such as automatic speech recognition (ASR), speech …
(HCI) to develop several applications, such as automatic speech recognition (ASR), speech …
Aerial Insights: Deep Learning-based Human Action Recognition in Drone Imagery
Human action recognition is critical because it allows machines to comprehend and interpret
human behavior, which has several real-world applications such as video surveillance …
human behavior, which has several real-world applications such as video surveillance …