Textile-based sensors in the form of a wearable computing device that can be attached to or
worn on the human body not only can transmit information but also can be used as a smart …

With the rapid growth in healthcare demand, an emergent, novel technology called wireless
body area networks (WBANs) have become promising and have been widely used in the …

Fault diagnosis of rotating machinery is essential for maintaining system performance and
ensuring the operation safety. Deep learning (DL) has been recently developed rapidly and …

In this paper we present the design and the validation of a novel fully embroidered meander
dipole antenna-based sensor integrated into a commercially available T-shirt for real-time …

Embedded hardware systems, such as wearable devices, are widely used for health status
monitoring of ageing people to improve their well-being. In this context, it becomes …

Muscular skeletal disorder is a difficult challenge faced by the working population. Motion
capture (MoCap) is used for recording the movement of people for clinical, ergonomic and …

Human activity recognition (HAR) using machine learning (ML) methods has been a
continuously developed method for collecting and analyzing large amounts of human …

Obstructive sleep apnea (OSA) is a common sleep disorder. As a gold standard to detect
OSA, the polysomnography (PSG) is widely used. However, the acquisition of nighttime PSG …

Hybrid energy storage systems composed of batteries and supercapacitors (SCs) can
provide a stable and sustainable power source for wireless sensor network (WSN) nodes …

With the fast development of Internet of Things, flexible and extensible sensors have
undergone a great revolution. Because of the limited functions of traditional flexible sensors …