This study evaluated the accuracy of tennis-specific stroke and movement event detection
algorithms from a cervically mounted wearable sensor containing a triaxial accelerometer …

This paper addresses the problem of event detection and localization in long football
(soccer) videos. Our key idea is that understanding the long-range dependencies between …

Golf swing segmentation with inertial measurement units (IMUs) is an essential process for
swing analysis using wearables. However, no attempt has been made to apply machine …

Shooting-posture recognition is an important area in basketball technical movement
recognition domain. This paper proposes the squeeze convolutional gated attention (SCGA) …

Inertial measurement units (IMUs) are becoming increasingly popular in activity
classification and workload measurement in sport. This systematic literature review focuses …

Space-air-ground integrated networks (SAGINs) provide global information sharing, large-
scale coverage, and ubiquitous collaboration architecture, and alleviate the pressure of …

Accurate prediction of monthly runoff is critical for effective water resource management and
flood forecasting in river basins. In this study, we developed a hybrid deep learning (DL) …

The aim of this study was to develop a physical activity advisory system supporting the
correct implementation of sport exercises using inertial sensors and machine learning …

An IoT wristband for basketball shooting analysis, which can provide quantitative shooting
guidance for basketball players in a convenient, low-cost manner, was developed. A micro …

In recent years, with the development of wearable sensor devices, research on sports
monitoring using inertial measurement units has received increasing attention; however, a …