Background Objective measures using accelerometer-based activity monitors have been
extensively used in physical activity (PA) and sedentary behavior (SB) research. To measure …

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 …

Objectives Wrist-worn accelerometers are convenient to wear and associated with greater
wear-time compliance. Previous work has generally relied on choreographed activity trials to …

Background: Many large studies have implemented wrist or thigh accelerometry to capture
physical activity, but the accuracy of these measurements to infer activity energy expenditure …

Objective This systematic review assessed the completeness of accelerometer reporting in
physical activity (PA) intervention studies and assessed factors related to accelerometer …

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 …

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

Most of calibration studies based on accelerometry were developed using count-based
analyses. In contrast, calibration studies based on raw acceleration signals are relatively …

Background The aim was to determine the reliability and validity of IPAQ measured
sedentary behaviour (SB) and moderate–vigorous physical activity (MVPA) in older persons …

Background This study explored the physiological correlates of students' self‐reported
emotions in ecologically valid settings by combining biosignal data (on physical and cardiac …