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 with smartphone and wearable sensors using deep learning techniques: A review
E Ramanujam, T Perumal… - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Human Activity Recognition (HAR) is a field that infers human activities from raw time-series
signals acquired through embedded sensors of smartphones and wearable devices. It has …
signals acquired through embedded sensors of smartphones and wearable devices. It has …
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 …
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 …
[HTML][HTML] Human activity recognition based on residual network and BiLSTM
Y Li, L Wang - Sensors, 2022 - mdpi.com
Due to the wide application of human activity recognition (HAR) in sports and health, a large
number of HAR models based on deep learning have been proposed. However, many …
number of HAR models based on deep learning have been proposed. However, many …
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 …
GRU-INC: An inception-attention based approach using GRU for human activity recognition
TR Mim, M Amatullah, S Afreen, MA Yousuf… - Expert Systems with …, 2023 - Elsevier
Abstract Human Activity Recognition (HAR) is very useful for the clinical applications, and
many machine learning algorithms have been successfully implemented to achieve high …
many machine learning algorithms have been successfully implemented to achieve high …
A survey on unsupervised learning for wearable sensor-based activity recognition
Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …
as pervasive healthcare, smart environment, and security and surveillance. The need to …
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 …
A Novel CNN-based Bi-LSTM parallel model with attention mechanism for human activity recognition with noisy data
X Yin, Z Liu, D Liu, X Ren - Scientific Reports, 2022 - nature.com
Boosted by mobile communication technologies, Human Activity Recognition (HAR) based
on smartphones has attracted more and more attentions of researchers. One of the main …
on smartphones has attracted more and more attentions of researchers. One of the main …