Abstract
In this paper the developed wireless IMU (inertial measurement unit) system for human motion characterisation has been described. The experimental layout, test modes and protocols were defined. The experiments for the knee joint characterisation during walking on an inclined treadmill were presented. The human knee joint’s characterisation with the usage of IMU sensors communicating with an Arduino board connected to a computer, was presented by plots and numerical data from experiments.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alain, L., Fung, J., Barbeau, H.: Adaptation of the walking pattern to uphill walking in normal and spinal-cord injured subjects. Exp. Brain Res. 126, 359–368 (1999)
Al-Shuka, H.-F.-N., Allmendinger, F., Corves, B., Zhu, W.-H.: Modeling, stability and walking pattern generators of biped robots: a review. Robotica 32, 907–934 (2014)
Cappozzoa, A., Croceb, U., Leardinic, A., Chiari, L.: Human movement analysis using stereophotogrammetry, Part 1: theoretical background. Gait Posture 21, 186–196 (2005)
Dathe, H., Gezzi, R., Kubein-Messenburg, D., Nȁgerl, H.: Characteristic points and cycles in planar kinematics with application to the human gait. Acta Bioeng. Biomech. 17(1), 75–86 (2015)
Dziuba, A., Żurek, G., Garrard, I., Wierzbicka-Damska, I.: Biomechanical parameters in lower limbs natural walking and Nordic walking at different speeds. Acta Bioeng. Biomech. 17(1), 95–101 (2015)
Geonea, I., Ceccarelli, M., Carbone, G.: Design and analysis of an exoskeleton for people with motor disabilities. In: The 14th IFToMM World Congress, Taipei, Taiwan (2015)
Moreno, J.-C., et al.: Wearable robot technologies. In: Wearable Robots: Biomechatronic Exoskeletons. Wiley, Chichester, UK (2008)
Premerlani, W., Bizard, P.: Direction cosine matrix IMU: theory (2009). https://github.com/ptrbrtz/razor-9dof-ahrs/wiki/Tutorial
Qiu, S., et al.: Ambulatory estimation of 3D walking trajectory and knee joint angle using MARG sensors (2014). IEEE 978-1-4799-4233-6/14
Seel, T., Raisch, J., Schauer, T.: IMU-based joint angle measurement for gait analysis. Sensors 14, 6891–6909 (2014)
Varela, M., Ceccarelli, M., Flores, P.: A kinematic characterization of human walking by using CaTraSys. Mech. Mach. Theor. 86, 125–139 (2015)
Zembaty, A.: Kinezyterapia, vol. II. Kasper Publishing House (2002)
Żuk, M., Pezowicz, C.: Kinematic analysis of a six-degrees-of-freedom model based on ISB recommendation: a repeatability analysis and comparison with conventional gait model. Appl. Bionics Biomech. (2015)
Acknowledgments
Part of this work has been developed during an internship of the first author at LARM, Cassino, Italy in 2015, with a scholarship from the project NJK at the Faculty of Mech. Eng. of Wrocław UT supported by EU. The first author wishes to thank staff and students at LARM for the continuous support.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Olinski, M., Gronowicz, A., Ceccarelli, M., Cafolla, D. (2017). Human Motion Characterization Using Wireless Inertial Sensors. In: Corves, B., Lovasz, EC., Hüsing, M., Maniu, I., Gruescu, C. (eds) New Advances in Mechanisms, Mechanical Transmissions and Robotics. Mechanisms and Machine Science, vol 46. Springer, Cham. https://doi.org/10.1007/978-3-319-45450-4_40
Download citation
DOI: https://doi.org/10.1007/978-3-319-45450-4_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-45449-8
Online ISBN: 978-3-319-45450-4
eBook Packages: EngineeringEngineering (R0)