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2.3 Focus Fields
As being said, currently, not much digital information is collected and available in
team handball. This is due to two major reasons: Affordable solutions do not have the
needed quality and solutions having the necessary accuracy are too expensive for
most of the teams. Most of the available digital information that is available today has
been generated manually either directly during matches or based on videos after the
matches. Unfortunately, the in-match collected information is often error-prone due to
the speed of the game and the absence of quality assuring concepts and fault-tolerance
in the collecting tools. Thus,
CoCoAnDa develops mechanisms to collect high quality digital match information
of team handball matches by following a two-track policy: A tablet based mobile
app is provided that allows to directly collect digital information during a match.
At the same time sensor technology is investigated to enhance the manually
collected information and to incrementally replace the manual data collection with
an automated collection.
CoCoAnDa provides coaches with digitalized information during matches as well
as during the preparation of matches, while managing the team, and during training
sessions. Thus, CoCoAnDa develops mobile apps that can access and visualize
historical data as well as data that has been recently collected (e.g. data of the
currently ongoing match). Additionally, CoCoAnDa defines an infrastructure that
allows to directly present information to coaches regardless whether the
information has been collected manually or by sensors, and regardless whether
teams are playing at their home location or remote.
CoCoAnDa develops an evaluation model that allows to evaluate the actions of
players and teams as the foundation of the evaluated presentation of gathered
information. Currently, there are only very basic evaluation models of team
handball. CoCoAnDa strives to develop a comprehensive model that in particular
allows to evaluate both defensive and offensive actions in a balanced way.
CoCoAnDa investigates data analysis methods for their applicability in the context
of team handball. There are two major areas which are of special interest to the
project: Prediction of the potential of players including the influence of injuries and
the automated recognition of team tactics with an estimation of their success.
2.4 Project Setup
CoCoAnDa is a research project which is integrated with education provided by the
Cooperative State University of Baden-Wuerttemberg Stuttgart (DHBW Stuttgart).
While the continuous context of the project is provided by Prof. Dr. Friedemann
Schwenkreis, specific topics are looked at by business management students on behalf
of their studies.
Thus, students can use team handball to look at “classical” digitalization questions
like how can a field benefit from digitalization and what needs to be done to actually
perform the digital transformation. The challenges range from the development of
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