PCA pattern tendencies in standing long jumps based on inertial sensors

Standing long jump (SLJ) is a simple motion that is often used in the assessment of physical fitness and motion development in children and adults. Visual inspection of the SLJ pattern would facilitate monitoring of the progress in training or developing the child's motor skills. This paper aims to present an approach for 2D standing long jump pattern visualization based on data acquisition by inertial measurement units (IMU) and data reduction by Principal Component Analysis (PCA). Four subjects with different training skills took part in the pilot study of SLJ. The results showed the difference in the 2D PCA pattern between participants who trained in athletics or have regular physical activity against the untrained respondents.