Wearable sensors for activity monitoring currently are being designed and developed,
driven by an increasing demand in health care for noninvasive patient monitoring and …

Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …

Human gait activity recognition is an emerging field of motion analysis that can be applied in
various application domains. One of the most attractive applications includes monitoring of …

The progressive loss of functional capacity due to aging is a serious problem that can
compromise human locomotion capacity, requiring the help of an assistant and reducing …

We evaluated 18 methods capable of identifying initial contact (IC) and terminal contact (TC)
gait events during human running using data from a single wearable sensor on the shank or …

Walking/gait quality is a useful clinical tool to assess general health and is now broadly
described as the sixth vital sign. This has been mediated by advances in sensing …

To understand the mechanisms causing running injuries, it is crucial to get insights into
biomechanical loading in the runners' environment. Ground reaction forces (GRFs) describe …

Sensors | Free Full-Text | The Use of Wearable Sensors for Preventing, Assessing, and
Informing Recovery from Sport-Related Musculoskeletal Injuries: A Systematic Scoping Review …

The inertial measurement unit (IMU) has become more prevalent in gait analysis. However,
it can only measure the kinematics of the body segment it is attached to. Muscle behaviour is …

Running stability is the ability to withstand naturally occurring minor perturbations during
running. It is susceptible to external and internal running conditions such as footwear or …