Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth
VJ Poitras, CE Gray, MM Borghese… - Applied physiology …, 2016 - cdnsciencepub.com
Moderate-to-vigorous physical activity (MVPA) is essential for disease prevention and health
promotion. Emerging evidence suggests other intensities of physical activity (PA), including …
promotion. Emerging evidence suggests other intensities of physical activity (PA), including …
[HTML][HTML] Precision nutrition: A systematic literature review
Precision Nutrition research aims to use personal information about individuals or groups of
individuals to deliver nutritional advice that, theoretically, would be more suitable than …
individuals to deliver nutritional advice that, theoretically, would be more suitable than …
Complex human activity recognition using smartphone and wrist-worn motion sensors
The position of on-body motion sensors plays an important role in human activity
recognition. Most often, mobile phone sensors at the trouser pocket or an equivalent position …
recognition. Most often, mobile phone sensors at the trouser pocket or an equivalent position …
A deep learning approach to human activity recognition based on single accelerometer
Y Chen, Y Xue - … international conference on systems, man, and …, 2015 - ieeexplore.ieee.org
In this paper, we propose an acceleration-based human activity recognition method using
popular deep architecture, Convolution Neural Network (CNN). In particular, we construct a …
popular deep architecture, Convolution Neural Network (CNN). In particular, we construct a …
Wearable motion capture devices for the prevention of work-related musculoskeletal disorders in ergonomics—an overview of current applications, challenges, and …
Work-related musculoskeletal disorders (WMSDs) are a major contributor to disability
worldwide and substantial societal costs. The use of wearable motion capture instruments …
worldwide and substantial societal costs. The use of wearable motion capture instruments …
[HTML][HTML] Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches
Background Objective measures using accelerometer-based activity monitors have been
extensively used in physical activity (PA) and sedentary behavior (SB) research. To measure …
extensively used in physical activity (PA) and sedentary behavior (SB) research. To measure …
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 …
Adaptive sliding window segmentation for physical activity recognition using a single tri-axial accelerometer
Previous studies on physical activity recognition have utilized various fixed window sizes for
signal segmentation targeting specific activities. Naturally, an optimum window size varies …
signal segmentation targeting specific activities. Naturally, an optimum window size varies …
Intensity thresholds on raw acceleration data: Euclidean norm minus one (ENMO) and mean amplitude deviation (MAD) approaches
Objectives (1) To develop and internally-validate Euclidean Norm Minus One (ENMO) and
Mean Amplitude Deviation (MAD) thresholds for separating sedentary behaviours from …
Mean Amplitude Deviation (MAD) thresholds for separating sedentary behaviours from …
Assessment of physical activity in adults using wrist accelerometers
The health benefits of physical activity (PA) have been widely recognized, yet traditional
measures of PA, including questionnaires and category-based assessments of volume and …
measures of PA, including questionnaires and category-based assessments of volume and …