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A Vision for Performance Analysis  in Elite Sports Prof. Dr. Martin Lames     Institute for Sports Science, University of Augsburg   IACSS09, Canberra, Australia September, 23 rd  – 26 th  2009
[object Object],[object Object],[object Object],[object Object],[object Object],Program
Framework Performance Analysis
Tasks of performance analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Framework
Why distinguish?  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Framework
Role of Computer Science ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Framework
Life cycle of technological innovations ,[object Object],Framework ,[object Object],[object Object],[object Object],Computer Science ,[object Object]
Vision I: Better Theories Problems
Complexity and dynamics I Better theories Abilties  and skills Perfor- mance Training
Game Sports Better theories
Complexity and dynamics II Better theories Cognition Motor  Response Perception
Problems we face ,[object Object],[object Object],[object Object],[object Object],[object Object],Better theories
Vision I: Better Theories Example: Relative Phase
Relative phase ,[object Object],[object Object],[object Object],[object Object],[object Object],Better Theories
Relative phase Better Theories
Relative phase Better Theories
Relative phase ,[object Object],[object Object],[object Object],[object Object],[object Object],Better Theories
Team’s centers in x-direction Relative Phase Football Better Theories
Team’s centers in x-direction, time window Relative Phase Football Better Theories
Summary Relative Phase ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Better Theories
Vision I: Better Theories Vision
Vision ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Better Theories
Recurrence analysis in Football Better Theories 00:00 15:00 30:00 45:00 00:00 15:00 30:00 45:00
Vision II: More support for practice Qualitative Game Analysis
Coupling of training and competition Description Training Analysis Transfer to training Competition More Support
Steps of Qualitative Game Analysis More Support Transfer in training   Video training Peer-debriefing Qualitative  main analysis (Thick Description) Peer-briefing Competition Recording/ Realtime diagnostics
Concept of social intervention Social intervention More Support Theory  Practice Coach & athletes Scientific intervention Akt 1 Akt 2 Akt 3 Akt 4 Akt 5
Practical experiences ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],More Support
Vision II: More support for practice Tactical video training
Data base ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],More Support
Theoretical framework More Support Model of mass communication (Merten, 1994) M 1 M 2 M 3 … Messages, game philosophy, feedback Recipient Sender M x I 1 I 2 I 3 … Internal context Pre-knowledge,  motivation I x E 1 E 2 E 3 … External context Home club game situation E x Information triple
Variants of video training ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],More Support
Effectiveness of video training More Support ,[object Object],[object Object],[object Object],[object Object],[object Object]
Applications of video training ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],More Support
Vision II: More support for practice Vision
Vision ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],More Support
Vision III: Improved technologies ,[object Object]
General developments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],New Technologies
Vision III: Improved technologies ,[object Object]
Image recognition in tennis Image Recognition
Image recognition in canoeing Image Recognition
Image recognition in swimming Image Recognition
Image recognition in football Image Recognition
Automated model recognition positions actions situations tactics assessments ,[object Object],[object Object],Image Recognition
Heatmaps Heatmap Materazzi, FIFA-Final 2006 Image Recognition
Heatmaps Heatmap Gallas, FIFA-Final 2006 Image Recognition
Relative Positions Relative Positions Buffon, FIFA-Final 2006 Image Recognition
Relative Positions Relative Positions Pirlo, FIFA-Final 2006 Image Recognition
Middle Right Left Direction  Toni Totti Camoranesi Gattuso Zambrotta Cannavaro Materazzi Grosso Perrotta Pirlo Buffon
Middle Right Left Direction Toni Totti Camoranesi Gattuso Zambrotta Cannavaro Materazzi Grosso Perrotta Pirlo Buffon Perrotta Pirlo Gattuso Camoranesi Totti Toni Grosso Materazzi Cannavaro Zambrotta Buffon
Vision III: Improved technologies ,[object Object]
Silhouette detection shot put Image Recognition
Silhouette detection Gymnastics I Image Recognition
Silhouette detection Gymnastics II Image Recognition
Silhouette Detection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Image Recognition
Final Remarks
Good Perspectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Final Remarks
Vielen Dank!

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A Vision for Performance Analysis