TY  - GEN
A1  - Zhou, Lin
A1  - Fischer, Eric
A1  - Tunca, Can
A1  - Brahms, Clemens Markus
A1  - Ersoy, Cem
A1  - Granacher, Urs
A1  - Arnrich, Bert
T1  - How We Found Our IMU
T2  - Postprints der Universität Potsdam : Reihe der Digital Engineering Fakultät
N2  - Inertial measurement units (IMUs) are commonly used for localization or movement tracking in pervasive healthcare-related studies, and gait analysis is one of the most often studied topics using IMUs. The increasing variety of commercially available IMU devices offers convenience by combining the sensor modalities and simplifies the data collection procedures. However, selecting the most suitable IMU device for a certain use case is increasingly challenging. In this study, guidelines for IMU selection are proposed. In particular, seven IMUs were compared in terms of their specifications, data collection procedures, and raw data quality. Data collected from the IMUs were then analyzed by a gait analysis algorithm. The difference in accuracy of the calculated gait parameters between the IMUs could be used to retrace the issues in raw data, such as acceleration range or sensor calibration. Based on our algorithm, we were able to identify the best-suited IMUs for our needs. This study provides an overview of how to select the IMUs based on the area of study with concrete examples, and gives insights into the features of seven commercial IMUs using real data.
T3  - Zweitveröffentlichungen der Universität Potsdam : Reihe der Digital Engineering Fakultät - 2 
KW  - inertial measurement unit
KW  - pervasive healthcare
KW  - gait analysis
KW  - comparison of devices
Y1  - 2020
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/48162
UR  - https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-481628
IS  - 2
ER  -