Evaluation of Dominant and Non-Dominant Hand Movements For Volleyball Action Modelling

Abstract

This work is carried out as part of the Smart Sports Exercises project funded by ZonMw Netherlands and the European Union's Horizon 2020 research and innovation program, under the grant agreement No 769661, towards the SAAM project. Sena Busra Yengec Tasdemir, is supported by the Turkish Higher Education Council's 100/2000 PhD fellowship program. ; In this paper, we assess the use of Inertial Measurement Units (IMU) in recognising different volleyball-specific actions. Analysis of the results suggests that all sensors in the IMU (i.e. magnetometer, accelerometer, barometer and gyroscope) contribute unique information in the classification of volleyball-specific actions. We demonstrate that while the accelerometer feature set provides the best Unweighted Average Recall (UAR) overall, "decision fusion" of the accelerometer with the magnetometer improves UAR slightly from 85.86% to 86.9%. Interestingly, it is also demonstrated that the non-dominant hand provides better UAR than the dominant hand. These results are even more marked with "decision fusion". ; Netherlands Organization for Health Research and Development Netherlands Government European Union's Horizon 2020 research and innovation program 769661 Turkish Higher Education Council's 100/2000 PhD fellowship program