A Wearable Real-time Kinematic and Kinetic Measurement Sensor Setup for Human Locomotion
Overview
Affiliations
Current laboratory-based setups (optical marker cameras + force plates) for human motion measurement require participants to stay in a constrained capture region which forbids rich movement types. This study established a fully wearable system, based on commercially available sensors (inertial measurement units + pressure insoles) that can measure both kinematic and kinetic motion data simultaneously and support wireless frame-by-frame streaming. In addition, its capability and accuracy were tested against a conventional laboratory-based setup. An experiment was conducted, with 9 participants wearing the wearable measurement system and performing 13 daily motion activities, from slow walking to fast running, together with vertical jump, squat, lunge and single-leg landing, inside the capture space of the laboratory-based motion capture system. The recorded sensor data were post-processed to obtain joint angles, ground reaction forces (GRFs), and joint torques (via multi-body inverse dynamics). Compared to the laboratory-based system, the established wearable measurement system can measure accurate information of all lower limb joint angles (Pearson's r = 0.929), vertical GRFs (Pearson's r = 0.954), and ankle joint torques (Pearson's r = 0.917). Center of pressure (CoP) in the anterior-posterior direction and knee joint torques were fairly matched (Pearson's r = 0.683 and 0.612, respectively). Calculated hip joint torques and measured medial-lateral CoP did not match with the laboratory-based system (Pearson's r = 0.21 and 0.47, respectively). Furthermore, both raw and processed datasets are openly accessible (). Documentation, data processing codes, and guidelines to establish the real-time wearable kinetic measurement system are also shared (https://github.com/HuaweiWang/WearableMeasurementSystem).
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Rukmini P, Hegde R, Basavarajappa B, Bhat A, Pujari A, Gargiulo G Sensors (Basel). 2024; 24(13).
PMID: 39001080 PMC: 11243832. DOI: 10.3390/s24134301.
Nitschke M, Dorschky E, Leyendecker S, Eskofier B, Koelewijn A Front Bioeng Biotechnol. 2024; 12:1285845.
PMID: 38628437 PMC: 11018991. DOI: 10.3389/fbioe.2024.1285845.
Scherpereel K, Molinaro D, Shepherd M, Inan O, Young A IEEE Trans Biomed Eng. 2024; 71(9):2718-2727.
PMID: 38619965 PMC: 11364170. DOI: 10.1109/TBME.2024.3388874.