Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

This paper presents a review of different classification techniques used to recognize human
activities from wearable inertial sensor data. Three inertial sensor units were used in this …

Research on fall and movement detection with wearable devices has witnessed promising
growth. However, there are few publicly available datasets, all recorded with smartphones …

In this paper, we perform a systematic study about the on-body sensor positioning and data
acquisition details for Human Activity Recognition (HAR) systems. We build a testbed that …

Background Measuring the physical work and resultant acute psychobiological responses of
basketball can help to better understand and inform physical preparation models and …

Existing accelerometer-based human activity recognition (HAR) benchmark datasets that
were recorded during free living suffer from non-fixed sensor placement, the usage of only …

The progress in the field of inertial sensor technology and the widespread popularity of
personal electronics such as smartwatches or smartphones have prompted the research on …

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

The purpose of this study was to quantify the workload during basketball-specific drills
measured through microtechnology. Twelve professional male basketball players from the …

Hip‐worn accelerometers are widely used to estimate physical activity (PA), but the accuracy
of acceleration threshold‐based analysis is compromised when it comes to identifying …