Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects

MM Islam, S Nooruddin, F Karray… - Computers in biology and …, 2022 - Elsevier
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 …

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 …

Human activity recognition via hybrid deep learning based model

IU Khan, S Afzal, JW Lee - Sensors, 2022 - mdpi.com
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 …

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 …

AAD-Net: Advanced end-to-end signal processing system for human emotion detection & recognition using attention-based deep echo state network

M Khan, A El Saddik, FS Alotaibi, NT Pham - Knowledge-Based Systems, 2023 - Elsevier
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 …

Toward human activity recognition: a survey

G Saleem, UI Bajwa, RH Raza - Neural Computing and Applications, 2023 - Springer
Human activity recognition (HAR) is a complex and multifaceted problem. The research
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 …

Vision transformer and deep sequence learning for human activity recognition in surveillance videos

A Hussain, T Hussain, W Ullah… - Computational …, 2022 - Wiley Online Library
Human Activity Recognition is an active research area with several Convolutional Neural
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

A Tursunov, Mustaqeem, JY Choeh, S Kwon - Sensors, 2021 - mdpi.com
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 …

Aerial Insights: Deep Learning-based Human Action Recognition in Drone Imagery

U Azmat, SS Alotaibi, M Abdelhaq, N Alsufyani… - IEEE …, 2023 - ieeexplore.ieee.org
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 …