A Non-Linear Body Machine Interface for Controlling Assistive Robotic Arms.

Journal: IEEE transactions on bio-medical engineering
Published Date: Jun 19, 2023

Abstract

OBJECTIVE: Body machine interfaces (BoMIs) enable individuals with paralysis to achieve a greater measure of independence in daily activities by assisting the control of devices such as robotic manipulators. The first BoMIs relied on Principal Component Analysis (PCA) to extract a lower dimensional control space from information in voluntary movement signals. Despite its widespread use, PCA might not be suited for controlling devices with a large number of degrees of freedom, as because of PCs' orthonormality the variance explained by successive components drops sharply after the first.

Authors

  • Fabio Rizzoglio
    Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy; Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA; Shirley Ryan Ability Lab, Chicago, IL, 60611, USA. Electronic address: fabio.rizzoglio@edu.unige.it.
  • Marco Giordano
  • Ferdinando A Mussa-Ivaldi
    Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA; Shirley Ryan Ability Lab, Chicago, IL, 60611, USA. Electronic address: sandro@northwestern.edu.
  • Maura Casadio

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