Multimodal sensor fusion for low-power wearable human motion tracking systems in sports applications

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dc.contributor.authorWilk, Mariusz P.
dc.contributor.authorWalsh, Michael
dc.contributor.authorO'Flynn, Brendan
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2020-10-19T15:23:48Z
dc.date.available2020-10-19T15:23:48Z
dc.date.issued2020-10-13
dc.date.updated2020-10-19T15:15:00Z
dc.description.abstractThis paper presents a prototype human motion tracking system for wearable sports applications. It can be particularly applicable for tracking human motion during executing certain strength training exercises, such as the barbell squat, where an inappropriate technique could result in an injury. The key novelty of the proposed system is twofold. Firstly, it is an inside-out, multimodal, motion tracker that incorporates two complementary sensor modalities, i.e. a camera and an inertial motion sensor, as well as two externally-mounted points of reference. Secondly, it incorporates a novel multimodal sensor fusion algorithm which uses the complementary nature of vision and inertial sensor modalities to perform a computationally efficient 3-Dimensional (3-D) pose detection of the wearable device. The 3-D pose is determined by fusing information about the two external reference points captured by the camera together with the orientation angles captured by the inertial motion sensor. The accuracy of the prototype was experimentally validated in laboratory conditions. The main findings are as follows. The Root Mean Square Error (RMSE) in 3-D position calculation was 36.7 mm and 13.6 mm in the static and mobile cases, respectively. Whereas the static case was aimed at determining the system’s performance at all 3-D poses within the work envelope, the mobile case was used to determine the error in tracking human motion that is involved in the barbell squat, i.e. a mainly repeated vertical motion pattern.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWilk, M. P., Walsh, M. and O’Flynn, B. (2020) 'Multimodal Sensor Fusion for Low-Power Wearable Human Motion Tracking Systems in Sports Applications', IEEE Sensors Journal, doi: 10.1109/JSEN.2020.3030779en
dc.identifier.doi10.1109/JSEN.2020.3030779en
dc.identifier.endpage2en
dc.identifier.issn1558-1748
dc.identifier.journaltitleIEEE Sensors Journalen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/10666
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/en
dc.relation.urihttps://ieeexplore.ieee.org/document/9222148
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksen
dc.subjectTrackingen
dc.subjectCamerasen
dc.subjectMultimodal sensorsen
dc.subjectInjuriesen
dc.subjectSensor fusionen
dc.subjectVision sensorsen
dc.subjectInertial Motion Sensoren
dc.subjectInside-Out Trackingen
dc.subjectPose Detectionen
dc.subjectMonocular Cameraen
dc.subjectMultimodalen
dc.subject3-Den
dc.titleMultimodal sensor fusion for low-power wearable human motion tracking systems in sports applicationsen
dc.typeArticle (peer-reviewed)en
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