[Forum SIS] Avviso di seminario - "Sensor Analytics in basketball: analyzing spatio-temporal movements of players around the court" - Università di Brescia

[Marica Manisera]

> Mercoledì 15 marzo 2017, alle ore 11.00
> 
> Rodolfo Metulini 
> Dipartimento di Economia e Management, Università degli Studi di Brescia
> Big&Open Data Innovation Laboratory (BODaI-Lab) 
> 
> terrà un seminario dal titolo:
> 
> Sensor Analytics in basketball:
> analyzing spatio-temporal movements of players around the court
>  
> presso il Dipartimento di Economia e Management dell’Università degli Studi di Brescia
> Sala della Biblioteca, sede di San Faustino, via San Faustino 74/b
> 
> Iniziativa svolta nell'ambito delle attività del Big&Open Data Innovation Laboratory (BODaI-Lab) e 
> del Data Methods and Systems Statistical Laboratory (DMS StatLab)
>  
> Abstract
>  Global Positioning Systems (GPS) are nowadays intensively used in Sport Science as they capture the trajectories
> of players and /or the ball, sometimes together with play-by-play recording the time of match events, with the aim
> to supply coaches, experts and analysts with useful information in addition to traditional statistics. To find any
> regularities and synchronizations in players‘ trajectories, and to study their relationship with team's performance,
> however, is a complex task, because of the strong interdependencies among players in the court and because of external
> factors that can influence players.  To this aim, a variety of methods has been proposed in Sport Science literature,
> which borrow from the disciplines of Machine Learning, Network and Complex Systems, Geographical Information Systems,
> Computer Vision and Statistics.  In this seminar, with an application to basketball, I propose a methodological approach that
> can be generalized to other team sports.  I first demonstrate the usefulness of  a visual tool approach in order  to extract
> preliminar insights from trajectories, then, I use data mining techniques such as Cluster Analysis and Multidimensional
> Scaling to decompose the game into homogeneous phases in terms of spatial relations.  To conclude, I present specific
> research questions, such as: i) who is the most influencing player of the team?  ii) how much each player influences the others?
>  iii) how much trajectories are determined by trajectories of other players and by external factors?  where the adoption of
> methods traditionally used in Spatial Statistics and Spatial Econometrics could have a potential. In this regard, the seminar
> is also intended as a “platform” to launch new research challenges and to search for collaboration.
> Acknowledgements: The research is carried out thanks to sensor data made available by MyAgonism.
> 
> Tutti gli interessati sono cordialmente invitati a partecipare. Il seminario è gratuito;
> per questioni organizzative si pregano tutti coloro che intendono partecipare ad inviare un'email a marica.manisera a unibs.it
> 

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