[iva] MAISTroPE (1st Workshop on Action Modelling for Interaction and Analysis in Smart Sports and Physical Education)

[salimf at tcd.ie]

Reminder!

Call for Papers.

We apologize if you receive multiple copies of this CFP.

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Call for Papers for the 1st Workshop on Action Modelling for Interaction and
Analysis in Smart Sports and Physical Education

(MAIStroPE)

 

The workshop to be held in conjunction with the 22nd ACM International
Conference on Multimodal Interaction  intends to bring together the research
in Machine Learning, Interactive Technology and Sports & Movement Science to
propose multimodal and interactive systems which can be utilized by
coaches/trainers and players during their routine training sessions to
analyse performance and provide real time interactive feedback.

 

Performance in sports depends on training programs designed by team staff,
with a regime of physical, technical, tactical and perceptual-cognitive
exercises. Depending on how participants perform, exercises are adapted, or
the program may be redesigned. State of the art data science methods have
led to ground breaking changes. Data is collected from sources such as
tracking position and motion of players in basketball, baseball & football
match statistics and volleyball. It is not just limited to sports training;
but can also be extended to any physical exercise based activity such as
dance lessons, aerobics, yoga training etc.

 

There are multiple examples of using both sensor and computer vision based
approaches for automatic recognition of sports action in numerous sports
e.g. soccer, tennis, table tennis , hockey , basketball and rugby. However,
sports trainers still rely on manual effort to collect and analyse events of
interests related to intended learning focus. The workshop aims to fill the
gap between the state of the art in technological development and the state
of the art in sports and physical education. We aim to bring together the
researchers from these areas and solicit ideas regarding, how the recent
technological advances can be applied in real life sports and physical
education (PE) scenarios in a multidisciplinary and user centric way and
enhance the overall user experience with PE.

 

We invite papers for frameworks, system ideas (architecture), user studies,
data sets and models, which are or have the potential to be readily applied
in real life training scenarios for sports or recreational physical
activities. The areas of interest include but not limited to:

 

Multimodal sensors.

Machine Learning.

Computer Vision.

Virtual/Augmented Reality.

Sport and Movement Science

Rehabilitation and injury prevention

Exertion and playful interaction

eSports

Sports and Physical Education and Pedagogy

 

Workshop Weblink: http://smart-sports-exercises.nl/maistrope/

 

Submission Guidelines:

 

We invite you to submit Short papers: The maximum length is 4 pages in the
two-column ACM conference format (excluding references). Accepted short
papers will be presented as a short talk and will be incorporated in the
companion proceedings of ICMI (more details regarding guidelines for
authors).

 

Papers should be submitted through:

https://easychair.org/conferences/?conf=maistrope1

 

Important Dates:

 

Paper submission: 23 August 2020

Paper notification: 7 September 2020

Camera-ready paper submission: 23 September 2020 Presenting at main
conference: October 25 or 29, 2020

 

For queries:  contact Fahim A. Salim (f.a.salim at utwente.nl
<mailto:f.a.salim at utwente.nl> )

 

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