A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends
S Ni, MAA Al-qaness, A Hawbani, D Al-Alimi… - Applied Soft …, 2024 - Elsevier
Hand gestures are crucial for developing prosthetic and rehabilitation devices, enabling
intuitive human–computer interaction (HCI) and improving accessibility for individuals with …
intuitive human–computer interaction (HCI) and improving accessibility for individuals with …
Secure and scalable healthcare data transmission in IoT based on optimized routing protocols for mobile computing applications
The Internet of Things (IoT) has impacted various aspects of life, but its profound effects on
the health sector are particularly striking because of its cutting‐edge nature. Mobile …
the health sector are particularly striking because of its cutting‐edge nature. Mobile …
Using mobile computing to provide a smart and secure Internet of Things (IoT) framework for medical applications
RK Kaushal, R Bhardwaj, N Kumar… - Wireless …, 2022 - Wiley Online Library
Mobile computing and technology are becoming more common in many parts of private life
and public services, and they are playing an increasingly important role in healthcare, not …
and public services, and they are playing an increasingly important role in healthcare, not …
Automated Grasp Recognition using sEMG: Recent Advances, Challenges and Future Developments
Surface electromyography (sEMG)-based automated grasp recognition (AGR) has emerged
as a vital technology in the field of automatic control, human-machine interfaces, prosthetics …
as a vital technology in the field of automatic control, human-machine interfaces, prosthetics …
Asymptomatic COVID-19 CT image denoising method based on wavelet transform combined with improved PSO
G Wang, S Guo, L Han, AB Cekderi, X Song… - … Signal Processing and …, 2022 - Elsevier
The quality of asymptomatic corona virus disease 2019 (COVID-19) computed tomography
(CT) image is reduced due to interference from Gaussian noise, which affects the …
(CT) image is reduced due to interference from Gaussian noise, which affects the …
Electromyography signal based hand gesture classification system using Hilbert Huang transform and deep neural networks
Y Fouad, MEM Soudagar - Heliyon, 2024 - cell.com
This research aims to provide the groundwork for smartly categorizing hand movements for
use with prosthetic hands. The hand motions are classified using surface electromyography …
use with prosthetic hands. The hand motions are classified using surface electromyography …
A uav-assisted stackelberg game model for securing lomt healthcare networks
On the one hand, the Internet of Medical Things (IoMT) in healthcare systems has emerged
as a promising technology to monitor patients' health and provide reliable medical services …
as a promising technology to monitor patients' health and provide reliable medical services …
A novel analytical framework is developed for wireless heterogeneous networks for video streaming applications
Due to bandwidth and time limits, delivering high‐quality video streaming facility offers real‐
time wireless networks, but assuring quality of experience (QoE) is rather difficult. A network …
time wireless networks, but assuring quality of experience (QoE) is rather difficult. A network …
Intelligent Systems for Muscle Tracking: A Review on Sensor‐Algorithm Synergy
A Putcha, T Nguyen, R Smith… - Advanced Intelligent …, 2023 - Wiley Online Library
Advanced technologies for muscle tracking provide easy access to identify and track muscle
activity, often for the purposes of therapeutic interventions. The necessity of muscle trackers …
activity, often for the purposes of therapeutic interventions. The necessity of muscle trackers …
Design and Development of Polymer‐Based Optical Fiber Sensor for GAIT Analysis
In the present scenario like COVID‐19 pandemic, to maintain physical distance, the gait‐
based biometric is a must. Human gait identification is a very difficult process, but it is a …
based biometric is a must. Human gait identification is a very difficult process, but it is a …