Human activity recognition (har) using deep learning: Review, methodologies, progress and future research directions
P Kumar, S Chauhan, LK Awasthi - Archives of Computational Methods in …, 2024 - Springer
Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …
home sectors. Using deep learning, we conduct a comprehensive survey of current state …
A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data
Human activity recognition (HAR) has become a significant area of research in human
behavior analysis, human–computer interaction, and pervasive computing. Recently, deep …
behavior analysis, human–computer interaction, and pervasive computing. Recently, deep …
Multiscale deep feature learning for human activity recognition using wearable sensors
Deep convolutional neural networks (CNNs) achieve state-of-the-art performance in
wearable human activity recognition (HAR), which has become a new research trend in …
wearable human activity recognition (HAR), which has become a new research trend in …
Multi-ResAtt: Multilevel residual network with attention for human activity recognition using wearable sensors
MAA Al-Qaness, A Dahou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) applications have received much attention due to their
necessary implementations in various domains, including Industry 5.0 applications such as …
necessary implementations in various domains, including Industry 5.0 applications such as …
Attention induced multi-head convolutional neural network for human activity recognition
ZN Khan, J Ahmad - Applied soft computing, 2021 - Elsevier
Deep neural networks, including convolutional neural networks (CNNs), have been widely
adopted for human activity recognition in recent years. They have attained significant …
adopted for human activity recognition in recent years. They have attained significant …
Human activity recognition in IoHT applications using arithmetic optimization algorithm and deep learning
Nowadays, people use smart devices everywhere and for different applications such as
healthcare. The Internet of Healthcare Things (IoHT) generates enormous amounts of data …
healthcare. The Internet of Healthcare Things (IoHT) generates enormous amounts of data …
Human activity recognition using marine predators algorithm with deep learning
In the era of smart life, tracking human activities and motion can play a significant role in the
advanced modern applications, such as the Internet of things (IoT), Internet of healthcare …
advanced modern applications, such as the Internet of things (IoT), Internet of healthcare …
DanHAR: Dual attention network for multimodal human activity recognition using wearable sensors
In the paper, we present a new dual attention method called DanHAR, which blends
channel and temporal attention on residual networks to improve feature representation …
channel and temporal attention on residual networks to improve feature representation …
Shallow convolutional neural networks for human activity recognition using wearable sensors
Due to rapid development of sensor technology, human activity recognition (HAR) using
wearable inertial sensors has recently become a new research hotspot. Deep learning …
wearable inertial sensors has recently become a new research hotspot. Deep learning …
Triple cross-domain attention on human activity recognition using wearable sensors
Efficiently identifying activities of daily living (ADL) provides very important contextual
information that is able to improve the effectiveness of various sports tracking and healthcare …
information that is able to improve the effectiveness of various sports tracking and healthcare …