Biomonitoring has played an increasingly important role in improving the quality of
healthcare in recent years, but limitations in power supply and wearability, as well as the rise …

Human activity recognition (HAR) has become an intensive research topic in the past
decade because of the pervasive user scenarios and the overwhelming development of …

Gait analysis is an essential tool for detecting biomechanical irregularities, designing
personalized rehabilitation plans, and enhancing athletic performance. Currently, gait …

Parkinson's disease (PD) is characterized by a slow, short-step**, shuffling gait pattern
caused by a combination of motor control limitations due to a reduction in dopaminergic …

The aim of this study was to determine a gait pattern, ie, a subset of spatial and temporal
parameters, through a supervised machine learning (ML) approach, which could be used to …

Estimation of center of mass (CoM) and center of pressure (CoP) is critical for lower limb
exoskeletons, prostheses, and legged robots. To meet the demand in these fields, this study …

Magneto-inertial measurement units (MIMUs) are a promising way to perform human motion
analysis outside the laboratory. To do so, in the literature, orientation provided by an MIMU …

In today's era of new advancements, diagnosing a pathology at an early stage has given rise
to the development of automated diagnostic systems. Knee Osteoarthritis (KOA) being …

Background Wearable accelerometer-containing devices have become a mainstay in
clinical studies which attempt to classify the gait patterns in various diseases. A gait profile …

Gait is one of the important features to assess physical or mental conditions of the elderly
which is directly related to their health status. The changes or abnormalities in gait may …