Conceptual structure and current trends in artificial intelligence, machine learning, and deep learning research in sports: a bibliometric review
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 …
gaining increasing importance and attention in the context of sports research. This has also …
Assessing physical behavior through accelerometry–state of the science, best practices and future directions
A Burchartz, B Anedda, T Auerswald… - Psychology of Sport …, 2020 - boris.unibe.ch
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 …
and amount of physical behavior (PB) in real-time over a period of several days and weeks …
Liquid metal based island‐bridge architectures for all printed stretchable electrochemical devices
The adoption of epidermal electronics into everyday life requires new design and fabrication
paradigms, transitioning away from traditional rigid, bulky electronics towards soft devices …
paradigms, transitioning away from traditional rigid, bulky electronics towards soft devices …
Development of cut-points for determining activity intensity from a wrist-worn ActiGraph accelerometer in free-living adults
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 …
behaviours, there is a lack of user-friendly methods to characterize physical activity from a …
Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease
Objective To improve classification of movement behaviours in free-living accelerometer
data using machine-learning methods, and to investigate the association between machine …
data using machine-learning methods, and to investigate the association between machine …
Activity classification using accelerometers and machine learning for complex construction worker activities
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 …
worker performance in terms of productivity and safety, but also the overall project …
Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy
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 …
subjective assessments (eg, appetite, fatigue) to monitor postoperative recovery as objective …
[HTML][HTML] Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms
Purpose Machine-learning (ML) approaches have been repeatedly coupled with raw
accelerometry to classify physical activity classes, but the features required to optimize their …
accelerometry to classify physical activity classes, but the features required to optimize their …
Recent machine learning progress in lower limb running biomechanics with wearable technology: A systematic review
L ** review of observational …
This sco** review identified observational studies of adults that utilized accelerometry to
assess physical activity and sedentary behavior. Key elements on accelerometry data …
assess physical activity and sedentary behavior. Key elements on accelerometry data …