Optimal Control and Machine Learning in Biomechanics: hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing
Gespeichert in:
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| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2023
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| Schlagworte: | |
| Online-Zugang: | Volltext Volltext Volltext |
| Beschreibung: | 1 Online-Ressource Illustrationen, Diagramme |
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| spelling | Dorschky, Eva (DE-588)1279328096 aut Optimal Control and Machine Learning in Biomechanics hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing vorgelegt von Eva Dorschky, M.Sc. Optimalsteuerung und Maschinelles Lernen in der Biomechanik: Hybride Modelle für Inertialsensorbasierte Ganganalyse und Virtuelle Schuhtests Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2023 1 Online-Ressource Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2022 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Bewegungsanalyse (DE-588)4122917-4 gnd rswk-swf Simulation (DE-588)4055072-2 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Bewegungsanalyse (DE-588)4122917-4 s Simulation (DE-588)4055072-2 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-213255 Resolving-System kostenfrei Volltext https://d-nb.info/1279277149/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/21325 Verlag kostenfrei Volltext 1\p npi 20230127 DE-101 https://d-nb.info/provenance/plan#npi |
| spellingShingle | Dorschky, Eva Optimal Control and Machine Learning in Biomechanics hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing Bewegungsanalyse (DE-588)4122917-4 gnd Simulation (DE-588)4055072-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4122917-4 (DE-588)4055072-2 (DE-588)4193754-5 (DE-588)4113937-9 |
| title | Optimal Control and Machine Learning in Biomechanics hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing |
| title_alt | Optimalsteuerung und Maschinelles Lernen in der Biomechanik: Hybride Modelle für Inertialsensorbasierte Ganganalyse und Virtuelle Schuhtests |
| title_auth | Optimal Control and Machine Learning in Biomechanics hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing |
| title_exact_search | Optimal Control and Machine Learning in Biomechanics hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing |
| title_exact_search_txtP | Optimal Control and Machine Learning in Biomechanics hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing |
| title_full | Optimal Control and Machine Learning in Biomechanics hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing vorgelegt von Eva Dorschky, M.Sc. |
| title_fullStr | Optimal Control and Machine Learning in Biomechanics hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing vorgelegt von Eva Dorschky, M.Sc. |
| title_full_unstemmed | Optimal Control and Machine Learning in Biomechanics hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing vorgelegt von Eva Dorschky, M.Sc. |
| title_short | Optimal Control and Machine Learning in Biomechanics |
| title_sort | optimal control and machine learning in biomechanics hybrid models for inertial sensor based gait analysis and virtual footwear testing |
| title_sub | hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing |
| topic | Bewegungsanalyse (DE-588)4122917-4 gnd Simulation (DE-588)4055072-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Bewegungsanalyse Simulation Maschinelles Lernen Hochschulschrift |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-213255 https://d-nb.info/1279277149/34 https://open.fau.de/handle/openfau/21325 |
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