A Geometric Approach to Head/Eye Control

In this paper, we study control problems that can be directly applied to controlling the rotational motion of eye and head. We model eye and head as a sphere, or ellipsoid, rotating about its center, or about its south pole, where the axes of rotation are physiologically constrained, as was proposed...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Bijoy K. Ghosh, Indika B. Wijayasinghe, Sanath D. Kahagalage
Format: Article in Journal/Newspaper
Language:English
Published: IEEE 2014
Subjects:
Online Access:https://doi.org/10.1109/ACCESS.2014.2315523
https://doaj.org/article/24f26d85aa9442ec8fd82615533919c0
Description
Summary:In this paper, we study control problems that can be directly applied to controlling the rotational motion of eye and head. We model eye and head as a sphere, or ellipsoid, rotating about its center, or about its south pole, where the axes of rotation are physiologically constrained, as was proposed originally by Listing and Donders. The Donders' constraint is either derived from Fick gimbals or from observed rotation data of adult human head. The movement dynamics is derived on SO(3) or on a suitable submanifold of SO(3) after describing a Lagrangian. Using two forms of parametrization, the axis-angle and Tait-Bryan, the motion dynamics is described as an Euler-Lagrange's equation, which is written together with an externally applied control torque. Using the control system, so obtained, we propose a class of optimal control problem that minimizes the norm of the applied external torque vector. Our control objective is to point the eye or head, toward a stationary point target, also called the regulation problem. The optimal control problem has also been analyzed by writing the dynamical system as a Newton-Euler's equation using angular velocity as part of the state variables. In this approach, explicit parametrization of SO(3) is not required. Finally, in the appendix, we describe a recently introduced potential control problem to address the regulation problem.