ComputationalSportScience:HumanMotionModellingandAnalysis

WorkshoporganiserDrBorisBačić,AucklandUniversityofTechnology,NewZealandboris.bacic@aut.ac.nzhttp://www.aut.ac.nz/profiles/boris-bacic linkedin.com/in/boris-bacic-779a9a7bWorkshopdescriptionandobjectivePushingtheboundariesofcomputationalintelligencealsomeansembracingsportsciencetoadvance andaugment theways inwhichweexperiencemovement activity, rehabilitationexercises as well as how sport is coached, played, promoted, broadcasted, andcommercialised.Although many sport cameras, mobile apps and wearable computing devices typicallyexchangedataandprocessuseractivityontheircloudinfrastructures,it isstillpossibleforacademics and small-to-large companies to engage in research based on motion dataprocessing.Asanadditiontothenascentareaofsportanalytics,computationalsportscienceis focusedondata-drivenmachine-learning approaches andhumanmotionmodelling andanalysis (HMMA). Computational sport science has the potential to provide diagnosticcapability and insights from data, find patterns in specific contexts, generate knowledge,validate experts’ common-sense rules, offload support decisions, and automate cognitiveactivities.Theresearchanddevelopmentthatistobepresented,regardingnext-generationaugmentedcoachingsystemsandtechnology(ACST),istargetedatimprovingqualityoflifeassociated with our ability to move and related contexts such as performance, safety,responsetimes,generalmotorskills,andsport-specifictechnique.This workshop will also provide insights and the opportunity for attendees to engage inresearchthatisaimedatcreatingstrategicdifferencesinelitesportsanddevelopingsportsgadgets,exergames,andrehabilitationtechnologies.Linked to IJCNN 2019, authors interested in extending their conference or workshopproceedingpaperstoajournal,areinvitedtosubmittheirworkfreeofchargetoopen-accessMDPIJournalInformation,SpecialIssueonComputationalSportScienceandSportAnalytics,by30thofDecember2019.(seemore-https://www.mdpi.com/journal/information/special_issues/Sport_Science)Theworkshopwillincludethefollowingtopics:

• Currentstateofsportperformancetechnologyandaugmentedcoachingsystems• Datasourcesandconsiderationsforimage,video,andsignalprocessing• Privacyconsiderations• Limitationsofcurrentexergaming,rehabilitation,andsportperformancetechnology• Expectations for next-generation exergaming, rehabilitation, augmented coaching

systemsandsportperformancetechnology• Selectedcasestudiesandpriorwork:

o Augmentedtenniscoachingsystems

o Golfcoachinganalyticso Privacypreservationforaugmentedgolfcoachingandhealth/elderlycareo Challengesinpostshoulder-surgeryrehabilitationforelite-leveltennisplayers

• Opportunitiesanddiscussionforumtopicsfor:o Multi-disciplinary development of computational sport science and sport

analyticso Advancementsofaugmentedcoachingsystemsandtechnologyo Newmulti-disciplinaryprograms,collaborationsandresearch

commercialisationso Newcareersandinitiativeso Gettingstarted(e.g.usingmobilesensorsandvideocapabilities)

• Open-sourcesoftwareandtoolsfor:o Coaching,sportanalyticsandhumanmotionanalysiso Dataanalysis,modellinganddevelopmenttools

• Futuredirections:Concepts,relatedcontexts,expectations,andopenquestionsWorkshopstructure:

Presentation: 1:20minCoffeebreak: 10minDiscussionforum:30min

Intendedaudience:IJCNNattendees,academics,industryexperts,investors,sponsors,andpostgraduatestudentsinterestedinapplyingAI,neuralinformationprocessing,datamining,andsignal,video,andimageprocessingtotheareaofhumanmotionmodellingandanalysisandothercontextsofsportanalytics.Aboutthespeaker:

Boris is a senior lecturer at the School of Engineering,Computer and Mathematical Sciences at AucklandUniversityofTechnology,NewZealand.Boris has a multidisciplinary research interest in thedevelopmentofAIsystemsthatcancapturethecognitiveactivity of experts’ brains to assist coaching andrehabilitation.Amonghisresearchprojectsoverthepast15years,hehasintroducedcomputermodelsthatcancapturepersonaliseddiagnosticcapabilitiessimilartoacoachandprovidefeedbackfromvariousdatasourcesincludingthosethatmayoperatebeyondhumancognitiveabilities.Aimed at improving athletes’ performance and safety,reducing rehabilitation times,andpromotingwellbeing indiverse environments, Boris’ present and future work isintendedtoadvancesportperformancetechnologyHiscollaborationsincludeprojectswithSportsPerformanceResearch Institute New Zealand (SPRINZ) and HighPerformance Sport New Zealand (HPSNZ), with theengineeringteamatGoldmine.

Boris is a member of the IEEE Computer Society, theAssociation for Computer Machinery (ACM), and theInternationalSocietyofBiomechanics(ISBS).