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Past Conferences

Conference Details - Agenda

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FC Barcelona at MIT: Barça Innovation Hub

July 24, 2017
4:00pm - 6:00pm
Day 01 All
 

16:00 - 16:10

Welcome and Introduction

16:10 - 16:20

Barça Innovation Hub Presentation

16:20 - 18:00

Presentations and Panel Discussion

Presentation

Robotic Training, Instrumentation and Athlete Specific Physiome Modeling
In a joint project between the MIT BioInstrumentation Lab and the Auckland University BioEngineering Institute we have been developing robotic training and measurement technologies coupled with detail human models. The robotic training technology uses linear induction motors capable of high accelerations and velocities and very high bandwidth linear Lorentz force actuators to dynamically manipulate the muscles of athletes while multi-axis forces are recorded. Stochastic nonlinear system identification techniques are used to determine the dynamic mechanical properties of muscle groups and surrounding tissue while they are being manipulated. Generic human models incorporating detailed models of anatomy and physiology are parameterized using these and other measurements to create a specific virtual human model (Physiome) of the athlete. These models are in turn used in an attempt to optimize athletic training.
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IoT and Sports Analytics
We will present research at the Auto-ID Laboratory towards Internet of Things identification technologies that can become umpiring and training tools for sport analytics. For example, we have used a grid of lasers to measure a Cricket ball’s position at the point it crosses the wicket and compared this position to the position reported by non-invasive systems, and have developed a low-cost golf-ball tracking system using passive RFID tags. The relevance to sport of IoT Conversational Commerce research and of other projects being conducted in the laboratory will also be reviewed briefly.
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MIT 3-Sigma Sports
In this talk I will introduce MIT’s 3-Sigma Sports Program. The first part of the talk will focus on the history and mission of 3-Sigma along with examples of engagement with our industry partners. In the second half of my talk I will present examples of research and projects that have come out of the 3-Sigma Sports program.

The FC Barcelona style of play and Sports Analytics
From the team sports department of Futbol Club Barcelona (FCB), our focus has been to shape the style of play of Barça with an innovative and creative idea of the game of soccer. In our club, the player is trained how to perceive and detect the information of the game that surrounds him (i.e., ball, space, teammates, opponents). During this process, the focus is placed on the quality of the game, rather than on the quantity. Thus, our coaches are asked to identify the variables that can enhance players’ comprehension of the game rather than their statistics.
Traditionally, the culture of sports analytics focused on the performance of individual players based on successful or unsuccessful outcomes. Nevertheless, the team sports department at FCB is one of the few research institutions leading the new wave of analytics in team sports, moving toward understanding the team as a unit, and performance in context. The dynamic, fluid nature of team sports such as soccer makes it impossible to understand with traditional techniques of sports analytics and science. And indeed, the answer is not to smooth out the dynamics or look at events out of context. Rather, we must apply to the analysis of our game the science of dynamics, of coordinated movement, of complex systems.
Therefore, in the future of team sports data analytics panel, we aim to discuss about the nature of the complex behavior that emerges from nonlinear interactions amongst athletes and their surroundings; the contributions and limitations of current approaches to team sports analytics; and how technology advances allow the quantification of the game.
Covering these three areas of knowledge (team sports, analysis and technology) should provide a wide range of subtopics underpinning answers to the future of team sports data analytics.
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Beyond statistics: Advanced analytics for sports
Statistics is pervasive in sports for measures of performance, planning and financial rewards. Complex systems science is the science beyond statistics, identifying dependencies, patterns, emergent behaviors and their role in successful behaviors of complex systems. In this session, I will discuss how we can apply complex system theory and data analytics to advance our understanding of sports and the success of sports teams.

Merging of Physical and Technical Data in Elite Level Soccer
David will discuss how the Sounders approach analytics in their daily approach to optimizing training and evaluating performance. With the increased use of different tracking technologies in professional field sports, this talk will delve into what metrics can be created to view the complex interactions between players on a team, as well as the opponent. The interaction of the physical and technical data will also be examined, as the impact of fatigue on these data streams. Finally, David will look at the best way to communicate feedback to the coaches in order to improve the daily decision making process.
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Panel: The future of Team Sports Data Analytics
Moderator: Leia Stirling
Panels: Anette Hosoi, Maurici Lopez-Felip, Ian Hunter, Brian Subirana, Stephen Ho, Yaneer Bar-Yam, David Tenney

18:00

Adjournment