MAIStroPE Workshop

1st Workshop on Action Modelling for Interaction and Analysis in Smart Sports and Physical Education (MAIStroPE)

29-October-2020, 16:45 CET (via Zoom)

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.

For Registration please visit ICMI  2020 registration Page


29-October-2020 at 16:45 CEST (Virtually over Zoom) in Conjunction with ICMI 2020.

For Registration Please visit ICMI registration page

(16:45 — 17:00) Introductory Remarks

Fahim A. Salim

Dennis Reidsma

(17:00 — 17:45) First Keynote

Prof. Joost Kok (University of Twente)

Winning with Data Science in Sports

Prof Joost Kok is a Professor of Applied Data Science and the Dean of the Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente. His research is concentrated around data. Main research themes are digital research infrastructures, data- and model-management, data mining, bioinformatics and algorithms. His main application areas are currently in Health, Sports and Biodiversity.


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(17:45 — 18:25) Paper Presentations (1st Session)

  1. (17:45) Scalable infrastructure for Efficient, Real-time, Privacy-preserving Sports Analytics.
  2. (18:05) Autonomous and Remote Controlled Humanoid Robot for fitness training

(18:25 — 18:40) Short Break

(18:40 — 19:25) Second Keynote

Prof. Dr. Till Utesch (University of Münster)

A pedagogical perspective on the assessment of educational and sports data

I studied mathematics and sport science until 2012. Then did my PhD in sport psychology (institute of sport sciences) in 2017 and worked on the measurement of motor performance in children across childhood from a measurement perspective. After, I did my post doc, also in sport psychology department, and did research on talent development, assessment mostly in the context of sport (you will find my publications in the link of the webpage if you want to have a look). Since 2019, I am professor for pedagogical assessment and potential development in the department of educational sciences, university of Münster.

Web page:

(19:25 — 20:05) Paper Presentations (2nd Session)

  1. (19:25) Physical Exercise Form Correction Using Neural Network (Cristian Militaru).
  2. (19:45) Climbing Activity Recognition and Measurement with Sensor Data Analysis (Marina Andric)

(20:05) Closing Remarks

Fahim A. Salim

Call for Submissions (closed)

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

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:

Important Dates:

  • Paper submission: 23 August 2020  6 September 2020

  • Paper notification: 7 September 2020 14 September 2020

  • Camera-ready paper submission: 23 September 2020  28 September 2020

  • Presenting at main conference: October 25 or 29, 2020


  • Fahim A. Salim (Contact )( Research Fellow, BSS, University of Twente)
  • Bert-Jan van Beijnum( Professor, BSS, University of Twente)
  • Dennis Reidsma ( (Assistant Professor, HMI, University of Twente)
  • Saturnino Luz ( (Reader, Usher Institute, University of Edinburgh)
  • Maite Frutos-Pascual ( (Lecturer, Digital Media Technology, Birmingham City University)
  • Fasih Haider ( Fellow, Usher Institute, University of Edinburgh)

Program Committee

  • Albert Ali Salah (Professor of Social and Affective Computing, Utrecht University)
  • Abhinav Dhall (Assistant Professor, CHIC, Monash University)
  • Soumyabrata Dev (Assistant Professor, University College Dublin)
  • Jamie McGann (Postdoctoral Researcher, School of Health and Human Performance, Dublin City University)
  • Johann Issartel (Associate Professor, School of Health and Human Performance, Dublin City University)
  • Jeroen Koekoek (Senior Lecturer, Physical Education & Sport Pedagogy, Windesheim University of Applied Sciences)
  • Ivo van Hilvoorde (Physical Education & Sport Pedagogy, Windesheim University of Applied Sciences)
  • Robby van Delden (Assistant Professor, HMI, University of Twente)
  • Dees B.W. Postma (Post-Doctoral Researcher, HMI, University of Twente)
  • Till Utesch (Professorship for Pedagogical Assessment, University of Münster)