TY  - JOUR
U1  - Wissenschaftlicher Artikel
A1  - David, Jonas Paul
A1  - Schick, David
A1  - Rapp, Lorenz
A1  - Schick, Johannes
A1  - Glaser, Markus
T1  - SensAA—Design and Verification of a Cloud-Based Wearable Biomechanical Data Acquisition System
JF  - Sensors
N2  - Exoskeletons designed to assist patients with activities of daily living are becoming increasingly popular, but still are subject to research. In order to gather requirements for the design of such systems, long-term gait observation of the patients over the course of multiple days in an environment of daily living are required. In this paper a wearable all-in-one data acquisition system for collecting and storing biomechanical data in everyday life is proposed. The system is designed to be cost efficient and easy to use, using off-the-shelf components and a cloud server system for centralized data storage. The measurement accuracy of the system was verified, by measuring the angle of the human knee joint at walking speeds between 3 and 12 km/h in reference to an optical motion analysis system. The acquired data were uploaded to a cloud database via a smartphone application. Verification results showed that the proposed toolchain works as desired. The system reached an RMSE from 2.9◦ to 8◦, which is below that of most comparable systems. The system provides a powerful, scalable platform for collecting and processing biomechanical data, which can help to automize the generation of an extensive database for human kinematics.
Y1  - 2024
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:944-opus4-32687
U6  - https://doi.org/10.3390/s24082405
DO  - https://doi.org/10.3390/s24082405
VL  - 24
IS  - 8
SP  - 19
S1  - 19
ER  -