Haider, FasihSalim, Fahim A.Tasdemir, Sena Busra YengecNaghashi, VahidTengiz, IzemCengiz, KubraLuz, Saturnino2025-09-252025-09-2520199781450369374https://doi.org/10.1145/3351529.3360651https://hdl.handle.net/20.500.12573/3799Haider, Fasih/0000-0002-5150-3359; Reidsma, Dennis/0000-0002-7503-573X; Van Delden, Robby/0000-0002-6592-1199In 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".eninfo:eu-repo/semantics/closedAccessHuman-Media InteractionMultimodal FeedbackGestures AnalysisConference Object10.1145/3351529.33606512-s2.0-85074193081