Robust and Reliable Gait Recognition in Neurological Clinical Practice

  • We describe an automated approach, to easily track patients regaining their walking ability while recovering from neurological diseases like e.g. stroke. Based on captured gait data and objective measures derived out of it the rehabilitation process can be optimized and thus steered. In order to apply such system in clinical practice two key requirements have to be fulfilled: (i) the system needs to be applicable in terms of ease of use and performance; (ii) the derived measures need to be accurate.

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Metadaten
Author:Heinz-Josef Eikerling, Michael Uelschen
Title (English):Robust and Reliable Gait Recognition in Neurological Clinical Practice
URN:urn:nbn:de:bsz:959-opus-14072
Parent Title (English):Proceedings ICAMPAM
Document Type:Conference Proceeding
Language:English
Year of Completion:2019
Release Date:2019/07/29
Tag:Rehabilitation, Person Tracking, Usability, Reliability
Pagenumber:1
Note:
6th International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM) in Maastricht, Netherlands from JUNE 26 – 28, 2019
Faculties:Fakultät IuI
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Review Status:Veröffentlichte Fassung/Verlagsversion