ANALYSIS OF HUMAN MOTION WITH METHODS FROM MACHINE LEARNING
Keywords: Motion analysis, biomechanics, machine learning
AbstractUsually, predefined kinematic parameters are investigated in biomechanical studies of human motion. In recent years, techniques of machine learning have been added to this field of research (Chau, 2001). In this study different dimension reduction methods like Principal Component Analysis (PCA) and Fourier Transformation (FT) are investigated as an alternative to common biomechanical approaches in motion analysis.
Coaching and Sports Activities
Authors can retain copyright, while granting the International Society of Biomechanics in Sports (ISBS) the right of first publication.