This paper presents methods for classifying speed and track inclination groups during
recreational runs using input data from the" adidas_1" running shoe. Running speed …

This paper presents methods for collecting and analyzing biomechanical data of runners in
order to classify the prevailing running surface situation. For this purpose, we consider a …

Modeling of complex relations concerning the analysis of patterns of human walking and
running in the past years was realized using different methods of soft-computing. Looking at …

Biomechanical studies often attempt to identify differences between groups. Several
scientific methods are available for identifying such differences. Traditional methods often …

Embedded mobile systems for analysis and classification become more and more important
in the field of sports and sports science. Small and lightweight sensors in sportswear offer …

Accelerometers have been used to classify running patterns, but classification accuracy and
computational load depends on signal segmentation and feature extraction. Stride-based …

This paper presents a novel system for vision-based driving posture recognition. The driving
posture dataset was prepared by a side-mounted camera looking at a driver's left profile …

Abstract In team sport Human Activity Recognition (HAR) using inertial measurement units
(IMUs) has been limited to athletes performing a set routine in a controlled environment, or …

Injuries in running are often provoked by fatigue or improper technique, which are both
reflected in the runner's kinematics. State of the art research on kinematics in sports is using …

Greater understanding of differences in technique between runners may allow more
beneficial feedback related to improving performance and decreasing injury risk. The …