Evaluation of dominant and non-dominant hand movements for volleyball action modelling

Fasih Haider, Fahim A. Salim, Sena Busra Yengec Tasdemir, Vahid Naghashi, Izem Tengiz, Kubra Cengiz, Dees B.W. Postma, Robby Van Delden, Dennis Reidsma, Bert Jan Van Beijnum, Saturnino Luz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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”.

Original languageEnglish
Title of host publicationAdjunct of the 2019 International Conference on Multimodal Interaction, ICMI 2019
PublisherAssociation for Computing Machinery, Inc
Pages1-6
ISBN (Electronic)9781450369374
DOIs
Publication statusPublished - 14 Oct 2019
Event2019 International Conference on Multimodal Interaction, ICMI 2019 - Suzhou, China
Duration: 14 Oct 201918 Oct 2019

Publication series

NameAdjunct of the 2019 International Conference on Multimodal Interaction, ICMI 2019

Conference

Conference2019 International Conference on Multimodal Interaction, ICMI 2019
CountryChina
CitySuzhou
Period14/10/1918/10/19

Keywords

  • Gestures Analysis
  • Human-Media Interaction
  • Multimodal Feedback

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