Dynamic 3-d model of ocular motion

Pamela Lockwood-Cooke, Clyde F. Martin, Lawrence Schovanec

Research output: Contribution to journalConference articlepeer-review

11 Scopus citations


Eye movement systems are ideal for studying human control of movement since they are of relatively low dimension and easier to control than other neuromuscular systems. This paper presents a model for the dynamics of three-dimensional eye rotation. The system that is presented incorporates muscle mass, general nonlinear musculotendon dynamics, and activation dynamics that couple neural controls that are appropriate for saccadic movements to the muscle mechanics. The approach taken here emphasizes a forward or direct dynamic approach that results in a natural flow of neural-to-muscular-to-movement events while utilizing physiologically realistic models of the musculotendon actuators. Numerical simulations illustrate that the model successfully simulates saccadic movements and accurately depicts eye position, velocity, and muscle tension.

Original languageEnglish
Pages (from-to)405-409
Number of pages5
JournalProceedings of the IEEE Conference on Decision and Control
StatePublished - 1999
EventThe 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA
Duration: Dec 7 1999Dec 10 1999


Dive into the research topics of 'Dynamic 3-d model of ocular motion'. Together they form a unique fingerprint.

Cite this