@inproceedings{ArizpeGomez_2020_ICHI,
Author = {Pedro Arizpe-Gomez, Kirsten Harms, Sebastian Fudickar, Kathrin Janitzky, Karsten Witt and Andreas Hein},
Title = {Preliminary Viability Test of a 3-D-Consumer-Camera-Based System for Automatic Gait Feature Detection in People with and without Parkinson’s Disease},

Year = {2020},
Pages = {7},
Month = {12},
Booktitle = {Proceedings of ICHI 2020},
Doi = {10.1109/ICHI48887.2020.9374363},
Url = {https://ieeexplore.ieee.org/document/9374363},
type = {inproceedings},
Abstract = {Movement contains a large amount of cognitive,
central-motor and musculoskeletal information that correlates
directly with the general state of health. Approaches to automatic
movement analysis, in particular to automatized gait analysis
are of utmost relevance to offer modern technological support
for health professionals. The purpose of this paper is to present
the experimental setup and preliminary results of the viability
test of the TEDIPA study, which will evaluate the comparability
of Azure Kinect’s consumer depth and color camera with the
medical product for gait analysis GAITRite, regarding accuracy
and precision when measuring key indicators of healthy and
pathological gait.}
}
@COMMENT{Bibtex file generated on }