TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Eikerling, Heinz-Josef
A1  - Uelschen, Michael
T1  - Robust and Reliable Gait Recognition in Neurological Clinical Practice
T2  - Proceedings ICAMPAM
N2  - 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.
KW  - Rehabilitation, Person Tracking, Usability, Reliability
Y1  - 2019
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:959-opus-14072
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:959-opus-14072
N1  - 6th International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM) in Maastricht, Netherlands from JUNE 26 – 28, 2019
SP  - 1
S1  - 1
ER  -