Computer-aided imagery in sport and exercise

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorNaderi, Kouroshen_US
dc.contributor.authorTakatalo, Jarien_US
dc.contributor.authorLipsanen, Jarien_US
dc.contributor.authorHämäläinen, Perttuen_US
dc.contributor.departmentProfessorship Hämäläinen Perttuen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentUniversity of Helsinkien_US
dc.contributor.departmentDepartment of Mediaen
dc.date.accessioned2020-03-13T15:24:33Z
dc.date.available2020-03-13T15:24:33Z
dc.date.issued2018-01-01en_US
dc.description.abstractMovement artificial intelligence of simulated humanoid characters has been advancing rapidly through joint efforts of the computer animation, robotics, and machine learning communitites. However, practical real-life applications are still rare. We propose applying the technology to mental practice in sports, which we denote as computer-aided imagery (CAI). Imagery, i.e., rehearsing the task in one's mind, is a difficult cognitive skill that requires accurate mental simulation; we present a novel interactive computational sport simulation for exploring and planning movements and strategies. We utilize a fully physically-based avatar with motion optimization that is not limited by a movement dataset, and customize the avatar with computer vision measurements of user's body. We evaluate the approach with 20 users in preparing for real-life wall climbing. Our results indicate that the approach is promising and can affect body awareness and feelings of competence. However, more research is needed to achieve accurate enough simulation for both gross-motor body movements and fine-motor control of the myriad ways in which climbers can grasp climbing holds or shapes.en
dc.description.versionPeer revieweden
dc.format.extent7
dc.format.extent84-90
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationNaderi , K , Takatalo , J , Lipsanen , J & Hämäläinen , P 2018 , Computer-aided imagery in sport and exercise : A case study of indoor wall climbing . in Proceedings Graphics Interface 2018, GI 2018 . vol. 2018-May , Canadian Human-Computer Communications Society , pp. 84-90 , Graphics Interface , Toronto , Canada , 08/05/2018 . https://doi.org/10.20380/GI2018.13en
dc.identifier.doi10.20380/GI2018.13en_US
dc.identifier.isbn978-0-9947868-2-1
dc.identifier.otherPURE UUID: 547011cc-976b-4a0c-a96e-ad33a5791330en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/547011cc-976b-4a0c-a96e-ad33a5791330en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85049320441&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/41447396/gi2018_13.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/43438
dc.identifier.urnURN:NBN:fi:aalto-202003132479
dc.language.isoenen
dc.relation.ispartofGraphics Interfaceen
dc.relation.ispartofseriesProceedings Graphics Interface 2018, GI 2018en
dc.relation.ispartofseriesVolume 2018-Mayen
dc.rightsopenAccessen
dc.subject.keywordClimbingen_US
dc.subject.keywordComputer animationen_US
dc.subject.keywordExerciseen_US
dc.subject.keywordHumancomputer interactionen_US
dc.subject.keywordMotion optimizationen_US
dc.subject.keywordMotivationen_US
dc.subject.keywordSportsen_US
dc.titleComputer-aided imagery in sport and exerciseen
dc.typeConference article in proceedingsfi
dc.type.versionpublishedVersion
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