Messung von Nutzerinteraktion mit einem Exoskelett durch EMG und Gelenk-Drehmomente
Author:
Affiliation:
1. Measurement and Sensor Technology Group , Electrical Engineering and Information Technology , 26536 Technische Universität Darmstadt , Darmstadt , Germany
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Electrical and Electronic Engineering,Instrumentation
Link
https://www.degruyter.com/document/doi/10.1515/teme-2017-0133/pdf
Reference22 articles.
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3. T. Lenzi, S. M. M. De Rossi, N. Vitiello and M. C. Carrozza, “Intention-Based EMG Control for Powered Exoskeletons,” in IEEE Transactions on Biomedical Engineering, vol. 59, no. 8, pp. 2180–2190, Aug. 2012.
4. A. Kilicarslan, S. Prasad, R. G. Grossman and J. L. Contreras-Vidal, “High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton,” 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, 2013, pp. 5606–5609.
5. H. Kawamoto, Suwoong Lee, S. Kanbe and Y. Sankai, “Power assist method for HAL-3 using EMG-based feedback controller,” Systems, Man and Cybernetics, 2003. IEEE International Conference on, 2003, pp. 1648–1653 vol. 2.
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