Funding Organization: European Commission
Funding Programme:
Funding Instrument: Small or medium-scale focused research project (STREP)
Start Date:
Duration: 36 months
Total Budget: 2,656,400 EUR
ITI Budget: 351,900 EUR

The RePlay project has as its goal the development of a technology platform that shall provide access and interpretation of digital content for Traditional Sports and Games (TSG). It will enable multiple modes of training, coaching and knowledge sharing that will contribute to the increased participation and preservation of traditional sport in the future. This will be achieved by developing a base technology and methodologies for the digitisation of the art and forms of play of a set of representative sports. In the case of RePlay, this will be field based Gaelic team sports and Basque individual/doubles ball and court sports. The fundamental structure of these sports is extensible to a vast majority of traditional minority sports and mainstream sports.

RePlay will consist of the design and implementation of a platform for the capture, annotation, indexing and provision of 3D sports content. It will include the analysis and specification of methodologies and ideal cost-effective hardware solutions for the extension of the project to other sports. The project will focus on the use of existing and near future 3D motion capture hardware. The project does not include the development of any hardware as an objective, as the market is already addressing this. It shall instead focus on the creation of the knowledge and underlying software tools that will provide a low-cost entry point to other TSG associations.

RePlay will focus on the analysis, capture and modelling of the basic styles and techniques of play common to all participants or the “Local Hero” using low-cost capture techniques. However, RePlay will also use advanced professional grade capture techniques on “National Heroes”. A national hero, or a recognised elite player, develops their sporting prowess to an extent that is unique. This presents Intangible Cultural Heritage to be preserved, an opportunity to allow the young to try to learn and emulate their heroes, and a scientific opportunity to compare and analyse the evolution in the changes of styles of play over time. RePlay will also include work on retrospective analysis of sports via video content.


  1. Y. Tisserand, N. Magnenat-Thalmann, L. Unzueta, M.T. Linaza, A. Ahmadi, N.E. O'Connor, N. Zioulis, D. Zarpalas, P. Daras, "Preservation and Gamification of Traditional Sports." , Mixed Reality and Gamification for Cultural Heritage, Springer-Nature, M Ioannides, N. Magnenat-Thalmann, G. Papagiannakis (Eds), ISBN 978-3-319-49607-8, DOI 10.1007/978-3-319-49607-8, 2016.
  2. F. Destelle, A. Ahmadi, K. Moran, N. E. O'Connor, N. Zioulis, A. Chatzitofis, D. Zarpalas, P. Daras, L. Unzueta, J. Goenetxea, M. Rodriguez, M. T. Linaza, Y. Tisserand, N. Magnenat-Thalmann, "A Multi-Modal 3D Capturing Platform for Learning and Preservation of Traditional Sports and Games" , 23rd ACM Multimedia Conference 2015, 26-30 Oct 2015, Brisbane, Australia
  3. N.E. O’Connor, Y. Tisserand, A. Chatzitofis, F. Destelle, J. Goenetxea, L. Unzueta, D. Zarpalas, P. Daras, M. Linaza, K. Moran, N. Magnenat Thalmann, "Interactive Games for Preservation and Promotion of Sporting Movements" , 22nd European Signal Processing Conference (EUSIPCO 2014), Lisbon, Portugal, 2-5 Sept. 2014
  4. F. Destelle, A. Ahmadi, A. Chatzitofis, D. Zarpalas, N.E. O’Connor, K. Moran, P. Daras, "Low-cost Accurate Skeleton Tracking Based on Fusion of Kinect and Wearable Inertial Sensors" , 22nd European Signal Processing Conference (EUSIPCO 2014), Lisbon, Portugal, 2-5 Sept. 2014
  5. G. T. Papadopoulos, P. Daras, "Local descriptions for human action recognition from 3D reconstruction data" , IEEE International Conference on Image Processing, ICIP 2014, Oct 27-30, Paris, France
  6. D. Alexiadis, P. Daras, "Quaternionic signal processing techniques for automatic evaluation of dance performances from MoCap data" , IEEE Transactions on Multimedia, Vol: 16, Issue: 5, Aug. 2014
Dr. Petros Daras
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Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

Contact Information

Dr. Petros Daras, Principal Researcher Grade Α
1st km Thermi – Panorama, 57001, Thessaloniki, Greece
P.O.Box: 60361
Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164