Abstract
This abstract presents the real time computation of Centroidal Momentum (CM) in human walking while addressing its applicability as a stability index to human walking with exoskeleton. To this end, a real time full body motion capture suit solution was employed and it was tested both in steady over ground walking and in walking with tripping events. Results show that observation of CM is able to detect abnormal state of human gait in real time thanks to its inherent physical meaning.
This work has been supported by the partially EU funded project BALANCE, FP7-ICT-2011.2.1 grant no. 601003.
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References
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Acknowledgments
Authors thank Henk Luinge from Xsens for providing their platform for the study.
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Jung, J.H., Van Opheusden, L., Barralon, P., Veneman, J.F. (2017). Real Time Computation of Centroidal Momentum for the Use as a Stability Index Applicable to Human Walking with Exoskeleton. In: González-Vargas, J., Ibáñez, J., Contreras-Vidal, J., van der Kooij, H., Pons, J. (eds) Wearable Robotics: Challenges and Trends. Biosystems & Biorobotics, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-46532-6_26
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DOI: https://doi.org/10.1007/978-3-319-46532-6_26
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Online ISBN: 978-3-319-46532-6
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