1. How performance analytics takes sport to the next level

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How performance analytics takes sport to the next level

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Sport clubs like Paris Saint-Germain and Chelsea are going digital as they envisage a new level of sport performance analytics. And we can support this next generation sport analytics with platforms collecting any type of sensory data and with analytics suites enabling real-time correlation and presentation of data in human readable format to experts of sport domain.

This will make it possible to eliminate today’s limitations of vertical sensor analytics and offline correlations.

Expanding the possibilities of stadium coverage

There are a range of possibilities for providing these kinds of solutions to large sport arenas, like soccer, with capabilities of low latency, low energy consumption and large coverage range. Another interesting aspect to keep in mind is whether these stadium solutions could also serve to monitor tournament matches, training sessions and also different types of events in the same arenas by only changing soft configurations of the networks.

Watch a short video from the recent Ericsson Research Open Day in which I discuss major aspects of data in sport performance analytics and the role of a telecom company in this business. You can read the transcript at the bottom of the post:


Read about our digital partnership with Paris Saint-Germain – the most successful club in French soccer.


The future of gamifying sport

On a more personal level, in recent live trials at Ericsson Garage – in a project named Gamifying Sport – athletes got real-time feedback about their performance, a great example of how sensor fusion-based real-time analytics can help sport move into the future.  Here’s a video from the Ericsson Garage on gamifying squash:

Interested in more?

Check out our connected stadium content, including our partnerships with Sprint and Chelsea Football Club, among other topics.

Transcript of Ericsson Research Open Day video

We can put sensors all over the body of an athlete. There are two main aspects where you can use that kind of sensory system: one is to improve the performance of the players and the other aspect is to prevent injuries.

You can check all the details of what is going on during training or during a game and once you have a profile, you can measure the performance of the athlete. We can also introduce the very same sensory system in a ball, or in a racket.

The role of a telco company here is to provide a platform, where you can collect all the different kinds of sensor data, coming from motion sensors, heart rate monitors, GPS trackers, microphones, combined with video feeds from different camera views.

With an analytics suite on top of it, we can convert the raw data to readable technical data that can be discussed together with the coaches and the physiotherapists.

We can apply this technology in several sports, like squash or tennis. Another example is soccer. We have a cooperation with Paris Saint Germain, where we would like to provide traditional network event solutions, like providing coverage and services for the spectators, but another aspect is the sports performance analysis.

Based on that, hopefully a team could be even better than today.

Written by István Gódor

István Gódor is a senior researcher at Ericsson Research, Traffic Analysis and Network Performance Laboratory of Ericsson Hungary. He is a member of IEEE, a member of Scientific Association for Infocommunications (HTE) and a member of public body and Committee on Telecommunication Systems of the Hungarian Academy of Sciences. He received both his M.Sc. and Ph.D. degree in Electrical Engineering from Budapest University of Technology and Economics, Budapest, Hungary in 2000 and 2005, respectively. He is (co)author of more than 75 scientific papers and patents. He has been serving a number of Technical Program Committees and as referee for international journals and conferences, such as IEEE Communications Magazine, IEEE ICC, IEEE VTC, IEEE PIMRC, IEEE WCNC and the like. He has been awarded the 2014 IEEE Communications Society Fred W. Ellersick Prize. His research interests include network design, combinatorial optimization, cross-layer optimization, self-organizing networks, energy efficiency, traffic analysis and modeling.

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