Acquisition, Filtering and Analysis of Positional and Inertial Data in Sports
The world of sports is being transformed by the rise of automated systems which enable the monitoring of athletes. Such systems provide objective assessments about the performance of athletes, the loads they are exposed to or their tactical behavior. Presently, data collection, preparation and analy...
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| Format: | Online |
| Idioma: | anglès |
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FAU University Press
2025
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| Accés en línia: | ONIX_20251215T160010_9783961470655_39 |
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| _version_ | 1869529884291760128 |
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| author | Kautz, Thomas |
| author_browse | Kautz, Thomas |
| author_facet | Kautz, Thomas |
| author_sort | Kautz, Thomas |
| collection | Directory of Open Access Books |
| description | The world of sports is being transformed by the rise of automated systems which enable the monitoring of athletes. Such systems provide objective assessments about the performance of athletes, the loads they are exposed to or their tactical behavior. Presently, data collection, preparation and analysis are still often performed in a manual or semi-automatic manner. This process can be time-consuming and subjective, impeding accurate long-term monitoring of athletes. Streamlining this process may facilitate the data acquisition considerably and enable a transition of the subsequent analysis from subjective impressions to objective and accurate evaluations. This thesis addresses several challenges in turning the above-mentioned desiderata into practical solutions. It provides innovative approaches for improving and extending the acquisition, filtering and analysis of positional and inertial data. The contributions of this thesis have the potential to considerably facilitate activity monitoring in sports and thus provide a basis for future studies in sports science. |
| format | Online |
| id | doab-20.500.12854ir-170221 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | FAU University Press |
| publisherStr | FAU University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1702212025-12-16T05:27:13Z Acquisition, Filtering and Analysis of Positional and Inertial Data in Sports Kautz, Thomas Objektverfolgung Kalman-Filter Deep learning Beschleunigungssensor Leichtathletik Sports analytics thema EDItEUR::U Computing and Information Technology thema EDItEUR::S Sports and Active outdoor recreation The world of sports is being transformed by the rise of automated systems which enable the monitoring of athletes. Such systems provide objective assessments about the performance of athletes, the loads they are exposed to or their tactical behavior. Presently, data collection, preparation and analysis are still often performed in a manual or semi-automatic manner. This process can be time-consuming and subjective, impeding accurate long-term monitoring of athletes. Streamlining this process may facilitate the data acquisition considerably and enable a transition of the subsequent analysis from subjective impressions to objective and accurate evaluations. This thesis addresses several challenges in turning the above-mentioned desiderata into practical solutions. It provides innovative approaches for improving and extending the acquisition, filtering and analysis of positional and inertial data. The contributions of this thesis have the potential to considerably facilitate activity monitoring in sports and thus provide a basis for future studies in sports science. 2025-12-16T05:27:13Z 2025-12-16T05:27:13Z 2025-12-15T15:04:13Z 2017 book ONIX_20251215T160010_9783961470655_39 https://library.oapen.org/handle/20.500.12657/109159 9783961470655 9783961470648 https://directory.doabooks.org/handle/20.500.12854/170221 eng FAU Studien aus der Informatik open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/109159/1/9783961470655.pdf FAU University Press 10.25593/978-3-96147-065-5 10.25593/978-3-96147-065-5 2c600dea-eece-4066-87be-da335e323fdb 9783961470655 9783961470648 201 Erlangen open access |
| spellingShingle | Objektverfolgung Kalman-Filter Deep learning Beschleunigungssensor Leichtathletik Sports analytics thema EDItEUR::U Computing and Information Technology thema EDItEUR::S Sports and Active outdoor recreation Kautz, Thomas Acquisition, Filtering and Analysis of Positional and Inertial Data in Sports |
| title | Acquisition, Filtering and Analysis of Positional and Inertial Data in Sports |
| title_full | Acquisition, Filtering and Analysis of Positional and Inertial Data in Sports |
| title_fullStr | Acquisition, Filtering and Analysis of Positional and Inertial Data in Sports |
| title_full_unstemmed | Acquisition, Filtering and Analysis of Positional and Inertial Data in Sports |
| title_short | Acquisition, Filtering and Analysis of Positional and Inertial Data in Sports |
| title_sort | acquisition filtering and analysis of positional and inertial data in sports |
| topic | Objektverfolgung Kalman-Filter Deep learning Beschleunigungssensor Leichtathletik Sports analytics thema EDItEUR::U Computing and Information Technology thema EDItEUR::S Sports and Active outdoor recreation |
| topic_facet | Objektverfolgung Kalman-Filter Deep learning Beschleunigungssensor Leichtathletik Sports analytics thema EDItEUR::U Computing and Information Technology thema EDItEUR::S Sports and Active outdoor recreation |
| url | ONIX_20251215T160010_9783961470655_39 |
| work_keys_str_mv | AT kautzthomas acquisitionfilteringandanalysisofpositionalandinertialdatainsports |