Channel modeling is fundamental to design wireless communication systems. A common
practice is to conduct tremendous amount of channel measurement data and then to derive …

Background Machine learning (ML) efficiently processes large datasets, showing promise in
enhancing clinical practice within physical therapy. Objective The aim of this sco** review …

Accurate and precise motion tracking of limbs and human subjects has technological
importance in various healthcare applications. The use of impulse radio-ultra wideband …

Computerized recognition of the home based physiotherapy exercises has many benefits
and it has attracted considerable interest among the computer vision community. However …

Movement detection of human body segments is a fertile research topic in human-computer
interaction, as well as in medical and entertainment applications. In spite of the fact that most …

We propose to classify human activities based on transmission coefficient (S 21) and
reflection coefficient (S 11) of on-body antennas with deep convolutional neural networks …

The multi-label classification problem occurs in many real-world tasks where an object is
naturally associated with multiple labels, that is, concepts. The integration of the random …

We present a wearable sensory display for visualizing knee rehabilitation as part of an in-
home physical therapy program. Currently, patients undergoing knee rehabilitation have …

The characteristics of a nonline-of-sight on-body cree** wave are utilized to classify
human motion activities. Cree** wave propagation around the torso of a nonmoving …

A methodology for daily physical activity tracking, detection, and classification is proposed
using wearable ultrawideband (UWB) technology. The compact UWB antennas act as …