Deadline for manuscript submissions: 25 June 2025

 

Special Issue Editors

 

Dr. Mohammad Shabaz Website  E-Mail: shabaz.cse@mietjammu.in
Guest Editor
Model Institute of Engineering and Technology, Jammu, J&K, India

Interests: Social Networks; Neuroscience; IoT; Artificial Intelligence; Biomechanics

Dr. Thippa Reddy Gadekallu Website E-Mail: thippareddy.g@zjxu.edu.cn
Guest Editor
Zhongda Group, Haiyan County, Jiaxing City, Zhejiang Province, China
Interests: Machine Learning; Federated Learning; Soft Computing; Computer Vision; Blockchain

Dr. Muhammad Attique Khan Website E-Mail: attique.khan@hitecuni.edu.pk
Guest Editor
Computer Science Department, HITEC University, Taxila, Pakistan
Interests: Computer vision, Deep Learning, Explainable AI, Federated Learning, Machine Learning

Dr. Inam Ullah Website E-Mail: inam@gachon.ac.kr
Guest Editor
Gachon University, Seongnam, South Korea
Interests: Robotics; Internet of Things (IoT); Wireless Communications; AUVs

 

Special Issue Information

 

Wearable sensors present an easy-to-use and cheap way to perform gait, human motion analysis, and mechanics of biological systems, which helps in health monitoring, bio-feedbacks and clinical trials. Wearable technologies are gaining popularity due to their potential benefits for collecting biological feedback data via non-invasive monitoring of users. These devices can be used for a variety of biofeedback applications, including physiological (e.g., heart rate), neurological (e.g., brain waves), biochemical (e.g., metabolites), and biomechanical (e.g., joint angles). As a result, wearable sensors are increasingly being used in a variety of settings, including athletics, recreational sports, occupational, clinical, geriatrics, pediatrics, and everyday living. However, wearable sensors in athletics and industry have expanded in demand and usefulness during the last few years.

 

Wearable sensors are becoming increasingly common for quantifying performance and workload based on mechanical and physiological factors. A large range of wearable sensors are commercially available, and when used for gait or motion analysis, they may offer kinetic and kinematic data, making them important tools for clinicians, researchers, and caregivers in real-world settings. Wearable smart gadgets and services have applications in microelectronics, novel sensing technologies and materials, transducers, signal processing, big data, cloud computing, and artificial intelligence, making them appealing in biomechanical settings for real-world and real-time analysis. Moreover, perceptual support of movement with both wearable sensors and motors to carry out physical activities is an important aspect to cover which supports children's development of movement skills.

 

This Special Issue focuses on the advances in design, implementation, testing, benchmarking, and application of wearable sensors and related infrastructures and services, such as ambient assisted living, ambient intelligence, and IoT paradigms, as well as reframing the concept of "Daily Living" to ensure inclusion, safety, comfort, care, healthcare, and environmental sustainability. The Special Issue will address technological concerns with the integration of hardware and processing features of wearable smart devices for gait, motion analysis, and biomechanics, including mobile, edge, fog, and cloud computing. We welcome researchers and practitioners to present their novel contributions in this regard.

 

The main topics of this Special Section include (but are not limited to):

 

· Wireless Wearable Inertial Motion Sensing

· Wearable sensors for Biomechanical and Risk Assessments

· Performance evaluation of exoskeleton actuators

· Wearable sensors for medical decision making

· Wearable sensors for human gait recognition

· Intelligent monitoring and predictive analytics for human motion analysis

· Applications in wearable devices and remote patient monitoring

· Gait analysis of elderly and disabled people

· Biomechanical gait stability

 

Keywords

 

Wearable sensors
Intelligent monitoring
Gait analysis
human motion analysis
medical decision making
biofeedback
kinematic data
Biomechanics

 

Published Papers