Abstract
The present study aims at designing and evaluating a low-cost, simple and portable system for human kinematics (joint angles) and kinetics (joint torques) motion assessment. The system is based on a single camera, a set of customized markers, low-cost inertial measurement units and an affordable Wii Balance board. The automatically detected and tracked marker positions and orientations were used synchronously with other sensors data as inputs to an Extended Kalman Filter based on a biomechanical model of the investigated tasks. The method was validated with arm motions and with lower-limb motions of a subject wearing an exoskeleton. External ground reaction forces measured with a Wii Balance board were compared to the estimated ones based on the proposed low-cost system. Comparative analysis shows good accuracy with a low average NRMS error.
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References
El-Gohary, M., McNames, J.: Human joint angle estimation with inertial sensors and validation with a robot arm. IEEE Trans. Biomed. Eng. 62(7), 1759–1767 (2015)
Bonnet, V., Sylla, N., Cherubini, A., Gonzàlez, A., Azevedo, C., Fraisse, P., Venture, G.: Toward an affordable and user-friendly visual motion capture system. IEEE International Conference on Engineering in Medicine and Biology Society (EMBS), pp. 3634–3637 (2014)
Mallat, R., Bonnet, V., Huo, W., Karasinski, P., Amirat, Y., Khalil, M., Mohammed, S.: An introduction to signal detection and estimation. In: Proceedings of the IEEE/RSJ International Conference Robotics Automation (ICRA) (2018)
Munoz-Salinas, R.: ARUCO: a minimal library for Augmented Reality applications based on OpenCv. Universidad de Crdoba (2012)
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Mallat, R., Bonnet, V., Khalil, M., Mohammed, S. (2019). Toward an Affordable Multi-Modal Motion Capture System Framework for Human Kinematics and Kinetics Assessment. In: Carrozza, M., Micera, S., Pons, J. (eds) Wearable Robotics: Challenges and Trends. WeRob 2018. Biosystems & Biorobotics, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-01887-0_13
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DOI: https://doi.org/10.1007/978-3-030-01887-0_13
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