An Indirect Method Based on Capture Data Is Usable for Muscle Fatigue Treatment
The aim of this study is to propose an inverse method based in capture data for estimating muscle forces. This estimation method is essentially decomposed into three parts at combining a dynamics model, a biomechanical model and optimization algorithm. Fi
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Georg Rauter · Philippe C. Cattin · Azhar Zam · Robert Riener · Giuseppe Carbone · Doina Pisla Editors
New Trends in Medical and Service Robotics MESROB 2020
Mechanisms and Machine Science Volume 93
Series Editor Marco Ceccarelli, Department of Industrial Engineering, University of Rome Tor Vergata, Roma, Italy Editorial Board Members Alfonso Hernandez, Mechanical Engineering, University of the Basque Country, Bilbao, Vizcaya, Spain Tian Huang, Department of Mechatronical Engineering, Tianjin University, Tianjin, China Yukio Takeda, Mechanical Engineering, Tokyo Institute of Technology, Tokyo, Japan Burkhard Corves, Institute of Mechanism Theory, Machine Dynamics and Robotics, RWTH Aachen University, Aachen, Nordrhein-Westfalen, Germany Sunil Agrawal, Department of Mechanical Engineering, Columbia University, New York, NY, USA
This book series establishes a well-defined forum for monographs, edited Books, and proceedings on mechanical engineering with particular emphasis on MMS (Mechanism and Machine Science). The final goal is the publication of research that shows the development of mechanical engineering and particularly MMS in all technical aspects, even in very recent assessments. Published works share an approach by which technical details and formulation are discussed, and discuss modern formalisms with the aim to circulate research and technical achievements for use in professional, research, academic, and teaching activities. This technical approach is an essential characteristic of the series. By discussing technical details and formulations in terms of modern formalisms, the possibility is created not only to show technical developments but also to explain achievements for technical teaching and research activity today and for the future. The book series is intended to collect technical views on developments of the broad field of MMS in a unique frame that can be seen in its totality as an Encyclopaedia of MMS but with the additional purpose of archiving and teaching MMS achievements. Therefore, the book series will be of use not only for researchers and teachers in Mechanical Engineering but also for professionals and students for their formation and future work. The series is promoted under the auspices of International Federation for the Promotion of Mechanism and Machine Science (IFToMM). Prospective authors and editors can contact Mr. Pierpaolo Riva (publishing editor, Springer) at: [email protected] Indexed by SCOPUS and Google Scholar.
More information about this series at http://www.springer.com/series/8779
Georg Rauter Philippe C. Cattin Azhar Zam Robert Riener Giuseppe Carbone Doina Pisla •
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New Trends in Medical and Service Robotics MESROB 2020
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Editors Georg Rauter Bio-Inspired RObots for MEDicine-Lab (BIROMED-Lab), Department of Biomedical Engineering University of Basel Allschwil, Switzerland Azhar Zam Biomedical Laser and Optics Group (BLOG), Department of Biomedical Engineering University of Basel Allschwil, Switzerland Giuseppe Carbone Univers
