Mobile Gait Analysis: From Prototype towards Clinical Grade Wearable
The aim of this thesis is to move mobile gait analysis systems based on inertial sensing closer towards clinical grade wearable devices. Such devices are envisioned to be used in everyday clinical practice for objective gait assessment under supervised conditions as well as for remote monitoring of...
Bewaard in:
| Hoofdauteur: | |
|---|---|
| Formaat: | Online |
| Taal: | Engels |
| Gepubliceerd in: |
FAU University Press
2025
|
| Onderwerpen: | |
| Online toegang: | ONIX_20251215T160010_9783961471737_43 |
| Tags: |
Geen labels, Wees de eerste die dit record labelt!
|
| _version_ | 1869529998171308032 |
|---|---|
| author | Hannink, Julius |
| author_browse | Hannink, Julius |
| author_facet | Hannink, Julius |
| author_sort | Hannink, Julius |
| collection | Directory of Open Access Books |
| description | The aim of this thesis is to move mobile gait analysis systems based on inertial sensing closer towards clinical grade wearable devices. Such devices are envisioned to be used in everyday clinical practice for objective gait assessment under supervised conditions as well as for remote monitoring of gait in real-life environments. Such applications, however, require clinical grade of the wearable device established through clearance by the authorities and this process needs to be based on scientific research. The present thesis moves towards this aim in three main areas: Benchmarking methodological choices in foot trajectory reconstruction, extending the stride parameterization with kinetic features and reducing the assumption set current mobile gait analysis systems are built upon in order to widen the scope of gait disorders these systems can be used in. |
| format | Online |
| id | doab-20.500.12854ir-170264 |
| 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-1702642025-12-16T05:42:13Z Mobile Gait Analysis: From Prototype towards Clinical Grade Wearable Hannink, Julius Parkinsonismus Bewegungsstörung Maschinelles Lernen Beschleunigungssensor Ganganalyse thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering The aim of this thesis is to move mobile gait analysis systems based on inertial sensing closer towards clinical grade wearable devices. Such devices are envisioned to be used in everyday clinical practice for objective gait assessment under supervised conditions as well as for remote monitoring of gait in real-life environments. Such applications, however, require clinical grade of the wearable device established through clearance by the authorities and this process needs to be based on scientific research. The present thesis moves towards this aim in three main areas: Benchmarking methodological choices in foot trajectory reconstruction, extending the stride parameterization with kinetic features and reducing the assumption set current mobile gait analysis systems are built upon in order to widen the scope of gait disorders these systems can be used in. 2025-12-16T05:42:12Z 2025-12-16T05:42:12Z 2025-12-15T15:04:24Z 2019 book ONIX_20251215T160010_9783961471737_43 https://library.oapen.org/handle/20.500.12657/109163 9783961471737 9783961471720 https://directory.doabooks.org/handle/20.500.12854/170264 eng FAU Studien aus der Informatik open access image/jpeg Attribution-NonCommercial 4.0 International https://library.oapen.org/bitstream/20.500.12657/109163/1/9783961471737.pdf FAU University Press 10.25593/978-3-96147-173-7 10.25593/978-3-96147-173-7 2c600dea-eece-4066-87be-da335e323fdb 9783961471737 9783961471720 227 Erlangen open access |
| spellingShingle | Parkinsonismus Bewegungsstörung Maschinelles Lernen Beschleunigungssensor Ganganalyse thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering Hannink, Julius Mobile Gait Analysis: From Prototype towards Clinical Grade Wearable |
| title | Mobile Gait Analysis: From Prototype towards Clinical Grade Wearable |
| title_full | Mobile Gait Analysis: From Prototype towards Clinical Grade Wearable |
| title_fullStr | Mobile Gait Analysis: From Prototype towards Clinical Grade Wearable |
| title_full_unstemmed | Mobile Gait Analysis: From Prototype towards Clinical Grade Wearable |
| title_short | Mobile Gait Analysis: From Prototype towards Clinical Grade Wearable |
| title_sort | mobile gait analysis from prototype towards clinical grade wearable |
| topic | Parkinsonismus Bewegungsstörung Maschinelles Lernen Beschleunigungssensor Ganganalyse thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering |
| topic_facet | Parkinsonismus Bewegungsstörung Maschinelles Lernen Beschleunigungssensor Ganganalyse thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering |
| url | ONIX_20251215T160010_9783961471737_43 |
| work_keys_str_mv | AT hanninkjulius mobilegaitanalysisfromprototypetowardsclinicalgradewearable |