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Authors: Franz Kroll ; Sven Löffler ; Ilja Becker and Petra Hofstedt

Affiliation: Brandenburg University of Technology, Cottbus, Germany

Keyword(s): Timed-up and Go, Machine Learning, Wearable Devices, Activity Recognition, Accelerometer, Gyroscope, Physical Activities, Assessment System, Automatic Segmentation.

Abstract: The evaluation of the current state and examination of geriatric patients is a time consuming process for the medical staff and the patients. The independence of the geriatric patients is further reduced through the interruptions in their daily life caused by these examinations. One of these evaluation techniques is the so called Timed-Up and Go test (TUG). The test uses a simple sequence of motions to assess the fall risk of a person. Advances in the technology of wearable sensors and machine learning make it possible to automate these evaluation methods with a compact system. This paper continues the research that was already done in the fields of human activity recognition and automatic TUG detection and proposes a novel method for the automatic detection of the Timed-Up and Go without interrupting the daily life of the patients.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Kroll, F.; Löffler, S.; Becker, I. and Hofstedt, P. (2022). Automatic Detection of Timed-up and Go Tests with IMU Sensor Data. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIODEVICES; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 15-24. DOI: 10.5220/0010775300003123

@conference{biodevices22,
author={Franz Kroll. and Sven Löffler. and Ilja Becker. and Petra Hofstedt.},
title={Automatic Detection of Timed-up and Go Tests with IMU Sensor Data},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIODEVICES},
year={2022},
pages={15-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010775300003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIODEVICES
TI - Automatic Detection of Timed-up and Go Tests with IMU Sensor Data
SN - 978-989-758-552-4
IS - 2184-4305
AU - Kroll, F.
AU - Löffler, S.
AU - Becker, I.
AU - Hofstedt, P.
PY - 2022
SP - 15
EP - 24
DO - 10.5220/0010775300003123
PB - SciTePress

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