Multi-input CNN-GRU based human activity recognition using wearable sensors

N Dua, SN Singh, VB Semwal - Computing, 2021 - Springer
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 …

Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things

MM Islam, S Nooruddin, F Karray, G Muhammad - Information Fusion, 2023 - Elsevier
Abstract Human Activity Recognition (HAR) has become a crucial element for smart
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 …

Edge-assisted solutions for IoT-based connected healthcare systems: A literature review

V Hayyolalam, M Aloqaily, Ö Özkasap… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] Remote health monitoring systems for elderly people: a survey

S Ahmed, S Irfan, N Kiran, N Masood, N Anjum… - Sensors, 2023 - mdpi.com
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 …

Deep learning for heterogeneous human activity recognition in complex iot applications

M Abdel-Basset, H Hawash, V Chang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
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 …

[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 …

HIT HAR: human image threshing machine for human activity recognition using deep learning models

A Poulose, JH Kim, DS Han - Computational Intelligence and …, 2022 - Wiley Online Library
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 …

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 …

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 …