Comfort Perception Analysis of Human Models Interfacing with Novel Biped-Wheeled-Exoskeletons

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New Trends in Medical and Service Robotics (MESROB 2020)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 93))

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  • The original version of this chapter was revised: Table 1 has been removed, and the rest of the tables have been renumbered accordingly. The correction to this chapter is available at https://doi.org/10.1007/978-3-030-58104-6_38

Abstract

This paper presents a comfort perception analysis of human models interfacing with a novel biped-wheeled-exoskeleton. Usually, many attentions are given to the exoskeleton machine design but, in many cases, without considering the human comfort point of view. This paper merges the conceptual design of the novel biped-wheeled-exoskeleton machine, here proposed in a first time, with the analysis of the comfort perception of human models. The simulation of the human muscular activation is performed using the OpenSim software and the comfort analyses are done thanks to the literature review. Results underline how the comfort perception analysis of a human model with the same constraints of a wearable machine, may optimize the design process of a comfortable wearable hardware by the user. Novel comfortable joints range of motions of a human model, wearing biped-wheeled-exoskeletons, are also the results of this research work.

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Change history

  • 29 December 2020

    In the original version of the book, the following corrections have been incorporated: Table 1 of Chapter 3 has been removed, and the other tables have been renumbered accordingly. The book and the chapter have been updated with the changes.

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Correspondence to Giovanni Gerardo Muscolo .

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Zoccali, A., Muscolo, G.G. (2021). Comfort Perception Analysis of Human Models Interfacing with Novel Biped-Wheeled-Exoskeletons. In: Rauter, G., Cattin, P.C., Zam, A., Riener, R., Carbone, G., Pisla, D. (eds) New Trends in Medical and Service Robotics. MESROB 2020. Mechanisms and Machine Science, vol 93. Springer, Cham. https://doi.org/10.1007/978-3-030-58104-6_3

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