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dc.contributor.authorHaider, Fasih
dc.contributor.authorSalim, Fahim A.
dc.contributor.authorTasdemir, Sena Busra Yengec
dc.contributor.authorNaghashi, Vahid
dc.contributor.authorTengiz, Izem
dc.contributor.authorCengiz, Kubra
dc.contributor.authorPostma, Dees B. W.
dc.contributor.authorvan Delden, Robby
dc.contributor.authorReidsma, Dennis
dc.contributor.authorvan Beijnum, Bert-Jan
dc.contributor.authorLuz, Saturnino
dc.date.accessioned2021-04-20T07:34:11Z
dc.date.available2021-04-20T07:34:11Z
dc.date.issued2019en_US
dc.identifier.isbn978-1-4503-6937-4
dc.identifier.urihttps://hdl.handle.net/20.500.12573/655
dc.descriptionThis 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.en_US
dc.description.abstractIn 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".en_US
dc.description.sponsorshipNetherlands 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 programen_US
dc.language.isoengen_US
dc.publisherASSOC COMPUTING MACHINERY, 1515 BROADWAY, NEW YORK, NY 10036-9998 USAen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGestures Analysisen_US
dc.subjectMultimodal Feedbacken_US
dc.subjectHuman-Media Interactionen_US
dc.titleEvaluation of Dominant and Non-Dominant Hand Movements For Volleyball Action Modellingen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0002-5150-3359en_US
dc.contributor.authorID0000-0002-7503-573Xen_US
dc.relation.journalICMI'19: ADJUNCT OF THE 2019 INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTIONen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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