Artificial intelligence and its subcategories of machine learning and deep learning are
gaining increasing importance and attention in the context of sports research. This has also …

Accelerometers offer opportunities for researchers to capture validdata about the intensity
and amount of physical behavior (PB) in real-time over a period of several days and weeks …

Despite recent popularity of wrist-worn accelerometers for assessing free-living physical
behaviours, there is a lack of user-friendly methods to characterize physical activity from a …

The adoption of epidermal electronics into everyday life requires new design and fabrication
paradigms, transitioning away from traditional rigid, bulky electronics towards soft devices …

Objective To improve classification of movement behaviours in free-living accelerometer
data using machine-learning methods, and to investigate the association between machine …

Automated Construction worker activity classification has the potential to not only benefit the
worker performance in terms of productivity and safety, but also the overall project …

When children are discharged from the hospital after surgery, their caregivers often rely on
subjective assessments (eg, appetite, fatigue) to monitor postoperative recovery as objective …

Purpose Machine-learning (ML) approaches have been repeatedly coupled with raw
accelerometry to classify physical activity classes, but the features required to optimize their …

With the emergence of wearable technology and machine learning approaches, gait
monitoring in real-time is attracting interest from the sports biomechanics community. This …

This scoping review identified observational studies of adults that utilized accelerometry to
assess physical activity and sedentary behavior. Key elements on accelerometry data …