Goal : Extract and make sense of information from trajectories (GPS, mobile, video, rfid …).

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Goal: Extract and make sense of information from trajectories (GPS, mobile, video, rfid…). Provide tools to simplify and support qualitative analysis. Techniques: computational geometry & algorithms (data mining, machine learning & visualisation)

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Goal : Extract and make sense of information from trajectories (GPS, mobile, video, rfid …). Provide tools to simplify and support qualitative analysis. Techniques: computational geometry & algorithms (data mining, machine learning & visualisation). - PowerPoint PPT Presentation

Transcript of Goal : Extract and make sense of information from trajectories (GPS, mobile, video, rfid …).

Page 1: Goal :  Extract and make sense of information from trajectories  (GPS, mobile, video,  rfid …).

Goal: Extract and make sense of information from trajectories (GPS, mobile, video, rfid…).

Provide tools to simplify and support qualitative analysis.

Techniques: computational geometry & algorithms (data mining, machine learning & visualisation)

Page 2: Goal :  Extract and make sense of information from trajectories  (GPS, mobile, video,  rfid …).

Performance analysis of players and teams.

Performance Analysis

Support coaches, analysts, scouts & media

Page 3: Goal :  Extract and make sense of information from trajectories  (GPS, mobile, video,  rfid …).

Pass analysis 1

Page 4: Goal :  Extract and make sense of information from trajectories  (GPS, mobile, video,  rfid …).

Pass Analysis 2

Page 5: Goal :  Extract and make sense of information from trajectories  (GPS, mobile, video,  rfid …).

Movement Clustering

Page 6: Goal :  Extract and make sense of information from trajectories  (GPS, mobile, video,  rfid …).

Movement Correlation

Page 7: Goal :  Extract and make sense of information from trajectories  (GPS, mobile, video,  rfid …).

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Future Tools?

Tools

- Match intensity

- Turn-overs

- …