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

Physical activity analysis assessment has been a concern throughout human history. The
intersection of technological growth with sports has given rise to a burgeoning field known …

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

Neurological disorders represent one of the leading causes of disability and mortality in the
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …

During the past decade, smart insole-like devices become more and more popular in daily
applications, such as gait studies, activity recognition, health monitoring and evaluation …

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 refers to the systematic study of human locomotion and finds numerous
applications in the fields of clinical monitoring, rehabilitation, sports science and robotics …

Parkinson's disease (PD) is characterized by a variety of motor and non-motor symptoms,
some of them pertaining to gait and balance. The use of sensors for the monitoring of …

The understanding of locomotion in neurological disorders requires technologies for
quantitative gait analysis. Numerous modalities are available today to objectively capture …

Wearable biosensors have attracted considerable attention because of their potential use in
real-time monitoring and personalized disease diagnosis. The good deformability and …