[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 …
[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 …
Improving activity recognition accuracy in ambient-assisted living systems by automated feature engineering
Ambient-assisted living (AAL) is promising to become a supplement of the current care
models, providing enhanced living experience to people within context-aware homes and …
models, providing enhanced living experience to people within context-aware homes and …
[HTML][HTML] Hip and wrist accelerometer algorithms for free-living behavior classification
Purpose Accelerometers are a valuable tool for objective measurement of physical activity
(PA). Wrist-worn devices may improve compliance over standard hip placement, but more …
(PA). Wrist-worn devices may improve compliance over standard hip placement, but more …
An overview of smart shoes in the internet of health things: gait and mobility assessment in health promotion and disease monitoring
New smart technologies and the internet of things increasingly play a key role in healthcare
and wellness, contributing to the development of novel healthcare concepts. These …
and wellness, contributing to the development of novel healthcare concepts. These …
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 …
Reporting accelerometer methods in physical activity intervention studies: a systematic review and recommendations for authors
AHK Montoye, RW Moore, HR Bowles… - British journal of sports …, 2018 - bjsm.bmj.com
Objective This systematic review assessed the completeness of accelerometer reporting in
physical activity (PA) intervention studies and assessed factors related to accelerometer …
physical activity (PA) intervention studies and assessed factors related to accelerometer …
Application of raw accelerometer data and machine-learning techniques to characterize human movement behavior: a systematic scoping review
A Narayanan, F Desai, T Stewart… - … of Physical Activity …, 2020 - journals.humankinetics.com
Background: Application of machine learning for classifying human behavior is increasingly
common as access to raw accelerometer data improves. The aims of this scoping review are …
common as access to raw accelerometer data improves. The aims of this scoping review are …
[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 …
[HTML][HTML] Comparison of accelerometry methods for estimating physical activity
Purpose To compare physical activity estimates across different accelerometer wear
locations, wear time protocols, and data processing techniques. Methods A convenience …
locations, wear time protocols, and data processing techniques. Methods A convenience …