Assessment of a hand exoskeleton control strategy based on user’s intentions classification starting from surface EMG signals

Nicola Secciani, Matteo Bianchi, Alessandro Ridolfi, Federica Vannetti, Benedetto Allotta

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Among the most challenging aspects of the current bio-robotics trends, a place of honor is certainly reserved to the assistance to physically impaired people during the Activities of Daily Living (ADLs). The aim of this work is to assess the interaction between an assistive hand exoskeleton, controlled through surface ElectroMyoGraphy (sEMG) signals, and its user. A new control strategy, which focuses mainly on the wearability and the usability of the system, is presented. Promising results of two preliminary tests, conducted in collaboration with the “Don Carlo Gnocchi” Foundation, are also reported.

Original languageEnglish
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing AG
Pages440-444
Number of pages5
DOIs
Publication statusPublished - Jan 1 2019

Publication series

NameBiosystems and Biorobotics
Volume22
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence

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  • Cite this

    Secciani, N., Bianchi, M., Ridolfi, A., Vannetti, F., & Allotta, B. (2019). Assessment of a hand exoskeleton control strategy based on user’s intentions classification starting from surface EMG signals. In Biosystems and Biorobotics (pp. 440-444). (Biosystems and Biorobotics; Vol. 22). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-01887-0_85