Multi-input CNN-GRU based human activity recognition using wearable sensors
Abstract Human Activity Recognition (HAR) has attracted much attention from researchers in
the recent past. The intensification of research into HAR lies in the motive to understand …
the recent past. The intensification of research into HAR lies in the motive to understand …
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Abstract Human Activity Recognition (HAR) has become a crucial element for smart
healthcare applications due to the fast adoption of wearable sensors and mobile …
healthcare applications due to the fast adoption of wearable sensors and mobile …
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 …
Edge-assisted solutions for IoT-based connected healthcare systems: A literature review
With the rapid growth of edge-assisted solutions in Internet of Things (IoT) networks,
connected healthcare progressively relies on such solutions. This refers to systems in which …
connected healthcare progressively relies on such solutions. This refers to systems in which …
[HTML][HTML] Remote health monitoring systems for elderly people: a survey
This paper addresses the growing demand for healthcare systems, particularly among the
elderly population. The need for these systems arises from the desire to enable patients and …
elderly population. The need for these systems arises from the desire to enable patients and …
Deep learning for heterogeneous human activity recognition in complex iot applications
With continued improvements in wireless sensing technology, the notion of the Internet of
Things (IoT) has been widely adopted and has become pervasive owing to its broad …
Things (IoT) has been widely adopted and has become pervasive owing to its broad …
[HTML][HTML] Wearable IMU-based human activity recognition algorithm for clinical balance assessment using 1D-CNN and GRU ensemble model
YW Kim, KL Joa, HY Jeong, S Lee - Sensors, 2021 - mdpi.com
In this study, a wearable inertial measurement unit system was introduced to assess patients
via the Berg balance scale (BBS), a clinical test for balance assessment. For this purpose …
via the Berg balance scale (BBS), a clinical test for balance assessment. For this purpose …
HIT HAR: human image threshing machine for human activity recognition using deep learning models
In recent days, research in human activity recognition (HAR) has played a significant role in
healthcare systems. The accurate activity classification results from the HAR enhance the …
healthcare systems. The accurate activity classification results from the HAR enhance the …
MSCI: A multistate dataset for colposcopy image classification of cervical cancer screening
Y Yu, J Ma, W Zhao, Z Li, S Ding - International journal of medical …, 2021 - Elsevier
Background Cervical cancer is the second most common female cancer globally, and it is
vital to detect cervical cancer with low cost at an early stage using automated screening …
vital to detect cervical cancer with low cost at an early stage using automated screening …
A hybrid attention-based deep neural network for simultaneous multi-sensor pruning and human activity recognition
Y Zhou, Z Yang, X Zhang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the popularity and development of Internet of Things (IoT) technology, human activity
recognition using IoT devices such as wearable sensors can be implemented for various …
recognition using IoT devices such as wearable sensors can be implemented for various …