A 3D camera based automated T-GUGT tes

Onderzoeksoutput: Meeting abstract (Journal)


Background and Aims: In the timed Get Up and Go Test (T-GUGT)
to total time required to rise from a chair, walk 3m., turn, walk
back and sit down again, is compared to a threshold. This test is
widely used in fall risk and mobility assessment. The total time is
measured by an observer and hence prone to errors. The durations
of the different phases are typically not available. This small study
aims to investigate whether image processing methods applied to
3D camera images could be applied to automate the T-GUGT test.
Methods: Custom image processing, calibration and pose transition
methods were developed and applied to 3D camera recordings of
4 healthy controls, each performing 6 consecutive instances of the
T-GUGT. The durations of the different phases of the test and the
total time taken were compared using Pearson’s Correlation to
the respective durations obtained from manually annotating the
recorded images at the frame level.
Results: The calculated total duration of the test correlates well
to the ground truth (R2 = 0.761), while the correlation between the
durations of the individual phases ranges from 0.69 for the forward
walking phase down to 0.2 for sitting down and rising from the
Conclusions: The initial results suggest that a camera based
automatic T-GUGT test is feasible, but that more research followed
by proper validation is required. The added value of the proposed
approach is that it additionally provides durations of the individual
Originele taal-2English
Pagina's (van-tot)26-26
TijdschriftParkinsonism and Related Disorders
Nummer van het tijdschrifts1
StatusPublished - 26 feb 2010
Evenement3rd International Congress on Gait & Mental Function - Washington, United States
Duur: 26 feb 201028 feb 2010


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