Open-source application for real-time gait analysis using inertial sensors

• Published in: 2020 28th Telecommunications Forum (TELFOR) pp. 1 - 4
• Main Authors: Vajs, Ivan A., Bobic, Vladislava N., Duric-Jovicic, Milica D., Jankovic, Milica M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24.11.2020
• Subjects: Accelerometers; biomedical optical imaging; cameras; data acquisition; data visualisation; data visualization; Foot; force sensors; gait analysis; gait segmentation; inertial measurement units; inertial sensors; Legged locomotion; medical signal processing; motion sensors; Open source software; open-source application; optical camera system; parameter estimation; public domain software; Real-time systems; segmentation error; Signal processing algorithms; spatio-temporal parameters; spatiotemporal parameter estimation; spatiotemporal phenomena; stride length root mean square error; Task analysis; Xsens inertial measurement units
• DOI: 10.1109/TELFOR51502.2020.9306636

In this paper an open-source application for real-time gait analysis using Xsens inertial measurement units is presented. The application enables real-time data acquisition, visualization, gait segmentation, spatio-temporal parameter estimation and recording of raw and processed data. The developed algorithms are validated with an optical camera system on 8 healthy subjects. A segmentation error of 0.44±24.06 ms and a stride length root mean square error of 3.33 cm were achieved. Validated algorithms, a simple interface and an open-source implementation enable easy use of the application regardless of user's technical skills and the possibility for further research and integration with other sensor systems.