Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
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 …
Convae-lstm: Convolutional autoencoder long short-term memory network for smartphone-based human activity recognition
The self-regulated recognition of human activities from time-series smartphone sensor data
is a growing research area in smart and intelligent health care. Deep learning (DL) …
is a growing research area in smart and intelligent health care. Deep learning (DL) …
An adaptive batch size-based-CNN-LSTM framework for human activity recognition in uncontrolled environment
NA Choudhury, B Soni - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is a process of identifying the daily living activities of an
individual using a set of sensors and appropriate learning algorithms. Most of the works on …
individual using a set of sensors and appropriate learning algorithms. Most of the works on …
Analytical review on deep learning and IoT for smart healthcare monitoring system
RETRACTED: Analytical review on deep learning and IoT for smart healthcare monitoring
system | Emerald Insight Books and journals Case studies Expert Briefings Open Access …
system | Emerald Insight Books and journals Case studies Expert Briefings Open Access …
MLCNNwav: Multilevel Convolutional Neural Network With Wavelet Transformations for Sensor-Based Human Activity Recognition
A Dahou, MAA Al-Qaness… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is a rapidly growing field of research that aims to
automatically identify and classify human motions and activities from different tracking …
automatically identify and classify human motions and activities from different tracking …
Transformer-based deep reverse attention network for multi-sensory human activity recognition
R Pramanik, R Sikdar, R Sarkar - Engineering Applications of Artificial …, 2023 - Elsevier
In today's era, one of the important applications of Artificial Intelligence (AI) is Human Activity
Recognition (HAR). It has a wide range of applicability in health monitoring for patients with …
Recognition (HAR). It has a wide range of applicability in health monitoring for patients with …
New sensor data structuring for deeper feature extraction in human activity recognition
TT Alemayoh, JH Lee, S Okamoto - Sensors, 2021 - mdpi.com
For the effective application of thriving human-assistive technologies in healthcare services
and human–robot collaborative tasks, computing devices must be aware of human …
and human–robot collaborative tasks, computing devices must be aware of human …
NoFED-Net: Nonlinear fuzzy ensemble of deep neural networks for human activity recognition
In the era of the Internet of Things (IoT), the need for human activity recognition (HAR) is
growing, especially in smart-healthcare applications using on-body smart sensor devices …
growing, especially in smart-healthcare applications using on-body smart sensor devices …
Semisupervised Generative Adversarial Networks with Temporal Convolutions for Human Activity Recognition
H Zilelioglu, G Khodabandelou, A Chibani… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Many potential applications of human activity recognition (HAR) can be found in health,
surveillance, manufacturing, sports, and so on. For instance, HAR can be exploited in …
surveillance, manufacturing, sports, and so on. For instance, HAR can be exploited in …