Accurate identification of physical activity types has been achieved in laboratory conditions
using single-site accelerometers and classification algorithms. This methodology is then …

In this paper we propose a system based on a network of wearable accelerometers and an
off-the-shelf smartphone to recognize the intensity of stationary activities, such as strength …

Purpose To compare activity type classification rates of machine learning algorithms trained
on laboratory versus free-living accelerometer data in older adults. Methods Thirty-five older …

Advancements in motion sensing technology can potentially allow clinicians to make more
accurate range-of-motion (ROM) measurements and informed decisions regarding patient …

While the promise of wearable sensor technology to transform physical rehabilitation has
been around for a number of years, the reality is that wearable sensor technology for the …

Medical studies have intensively demonstrated that sports activity can enhance both the
mental and the physical health of practitioners. In recent years, fitness activity became the …

Myoelectric control systems (MCSs), which recognize motions through surface
electromyograms (sEMGs), present potential applicability for clinical, recreational, and …

Availability of physical activity monitors for wheelchair users can potentially assist these
individuals to track regular physical activity (PA), which in turn could lead to a healthier and …

Wearable sensor devices are playing an increasingly important role in providing pervasive
and personalized healthcare. Important elements of modern healthcare services are …

Objective Flares in rheumatoid arthritis (RA) and axial spondyloarthritis (SpA) may influence
physical activity. The aim of this study was to assess longitudinally the association between …