Automatic Detection of Timed-up and Go Tests with IMU Sensor Data

Franz Kroll, Sven Löffler, Ilja Becker, Petra Hofstedt

2022

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.

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Paper Citation


in Harvard Style

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 - Volume 1: BIODEVICES, ISBN 978-989-758-552-4, pages 15-24. DOI: 10.5220/0010775300003123


in Bibtex Style

@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 - Volume 1: BIODEVICES,},
year={2022},
pages={15-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010775300003123},
isbn={978-989-758-552-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES,
TI - Automatic Detection of Timed-up and Go Tests with IMU Sensor Data
SN - 978-989-758-552-4
AU - Kroll F.
AU - Löffler S.
AU - Becker I.
AU - Hofstedt P.
PY - 2022
SP - 15
EP - 24
DO - 10.5220/0010775300003123