A review of video-based human activity recognition: theory, methods and applications

TFN Bukht, H Rahman, M Shaheen, A Algarni… - Multimedia Tools and …, 2024 - Springer
Video-based human activity recognition (HAR) is an important task in many fields, such as
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …

A robust multimodal detection system: physical exercise monitoring in long-term care environments

N Al Mudawi, M Batool, A Alazeb… - … in Bioengineering and …, 2024 - frontiersin.org
Introduction Falls are a major cause of accidents that can lead to serious injuries, especially
among geriatric populations worldwide. Ensuring constant supervision in hospitals or smart …

Maximizing the performance of badminton athletes through core strength training: Unlocking their full potential using machine learning (ML) modeling

S Ma, KG Soh, SB Japar, S Xu, S Guo - Heliyon, 2024 - cell.com
Core strength training plays an essential role in maximizing performance for badminton
athletes. The core muscles in the abdominal, back, and hip regions provide stability, enable …

[HTML][HTML] Microstructural and photocatalytic properties of nanostructured near-β Ti-Nb-Zr alloy for total hip prosthesis use

M Fellah, N Hezil, D Bouras, MA Habeeb… - Kuwait Journal of …, 2024 - Elsevier
With its unique corrosion resistance, light weight, mechanical strength, and biocompatibility,
TNZ is a versatile metal alloy that is used in the aerospace and medical industries. The …

A novel hybrid strategy based on Swarm and Heterogeneous Federated Learning using model credibility awareness for activity recognition in cross-silo multistorey …

H Jamil, MA Khan, F Jamil - Engineering Applications of Artificial …, 2024 - Elsevier
The novel HAR-SHFDL system leverages a Swarm Heterogeneous Federated Deep
Learning framework for smartphone-based Human Activity Recognition (HAR). Unlike …

Development of flexible durable multi-slotted antenna for wearable applications

K Sainath, SL Gunamony, WA Awan, NM George… - Heliyon, 2024 - cell.com
In this study, a multi-slotted antenna is designed and characterized that can be used for
wearable applications by utilizing a flexible, durable silicone rubber substrate. Flexible …

[HTML][HTML] A novel approach using copper oxide nanocomposites-based biosensor for lactate detection in athletes

C Li, M Zhang, C Huang - Alexandria Engineering Journal, 2024 - Elsevier
Accurate monitoring tools are necessary for lactate, a critical biomarker linked to anaerobic
metabolism and muscular performance. Lactate dehydrogenase (LDH) immobilized on …

Electrochemical Determination of Cyclobenzaprine Hydrochloride Muscle Relaxant Using Novel S-GCN/TiO2-Based Carbon Electrode

YN Patil, MB Megalamani, S Nandi… - ACS …, 2024 - ACS Publications
We have successfully prepared the titanium dioxide (TiO2) nanoparticles (NPs) and sulfur-
incorporated graphitic carbon nitride (S-GCN)-modified carbon paste electrode (CPE). The …

Swarm Learning Empowered Federated Deep Learning for Seamless Smartphone-Based Activity Recognition

H Jamil, Y Jian, F Jamil, S Ahmad - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the landscape of smartphone-based human activity recognition (S-HAR), adopting
Federated Deep Learning (FDL) introduces challenges, notably in communication …

Optimizing sports development: Identifying and prioritizing key indicators for professional and competitive sports

SM Sajadi, S Baghaie, R Rezaei - World Development, 2024 - Elsevier
This study aimed to analyze the impact of professional and competitive sports on overall
sports development, with a specific focus on identifying and prioritizing key indicators …