Zrenner, Markus
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1

From Raw to Big Data in Endurance Running 

Application of Data Science Techniques for Knowledge Creati...  FAU Studien aus der Informatik ; 18
 
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Data-Driven Optimization of Sensor Placement for Pressure I..:

, In: Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference; Advances in Intelligent Systems and Computing,
Zrenner, Markus ; Stoeve, Maike ; Franklin, Steven... - p. 160-164 , 2022
 
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Evaluation of Foot Kinematics During Endurance Running on D..:

, In: Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019); Advances in Intelligent Systems and Computing,
Zrenner, Markus ; Feldner, Christoph ; Jensen, Ulf... - p. 106-113 , 2019
 
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Movement Speed Estimation Based on Foot Acceleration Patter..:

, In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
Gradl, Stefan ; Zrenner, Markus ; Schuldhaus, Dominik... - p. 3505-3508 , 2018
 
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9

Workshop on wearables for sports:

, In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct,
 
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Session details: Workshop on wearables for sports:

, In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct,
 
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The placement of foot-mounted IMU sensors does affect the a..:

Küderle, Arne ; Roth, Nils ; Zlatanovic, Jovana...
https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/21393.  , 2022
 
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From Raw to Big Data in Endurance Running : Application of ..:

Zrenner, Markus
https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/19927.  , 2022
 
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13

Retrospective Analysis of Training and Its Response in Mara..:

Zrenner, Markus ; Heyde, Christian ; Duemler, Burkhard...
https://opus.hs-furtwangen.de/frontdoor/index/index/docId/7966.  , 2021
 
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Retrospective Analysis of Training and Its Response in Mara..:

Zrenner, Markus ; Heyde, Christian ; Duemler, Burkhard...
https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/16552.  , 2021
 
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