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IRCS / GRASP Seminar: Greg Gerling, University of Virginia, “Computational Models of Tactile Mechanotransduction & the Design of Medical Simulators”

October 4, 2013 @ 12:00 pm - 1:30 pm

Abstract: In this talk, I will describe
how our lab’s collaborative work in understanding the
neurophysiological basis of touch (skin, receptors and neural coding;
psychophysical limits) informs the applied design of neural sensors and
human-machine interfaces, including neural prosthetics and training
simulators in medical environments. Our sense of touch, while not yet as
well understood as vision and audition, is essential for behaviors that
range from avoiding bodily harm to vital social interactions.
Discoveries in this field may help restore sensory function for disabled
populations and enhance human performance and information processing
capability. In particular in this talk, I will discuss work in using
computational models (finite element, neuraltransduction) and artificial
sensor correlates to capture the neural behavior of the skin
mechanics – receptor end organ interaction for the slowly adapting type I
tactile afferent. This work spans science and engineering where modeling
of intact sensory systems is used to define transfer functions for
application to upper limb neural prosthetics and to define the appropriate
range of sensory stimuli for medical simulators. 


- Learn More

Gregory J. Gerling is an Assistant Professor in the Department of
Systems and Information Engineering at the University of Virginia in
Charlottesville. He received his Ph.D. degree from the Department of
Mechanical and Industrial Engineering at The University of Iowa in the
Summer of 2005. Before returning to graduate school, he had industry
experience in software engineering at Motorola, NASA Ames Research
Center, and Rockwell Collins. His research interests are in general
related to the fields of haptics, computational neuroscience, human
factors and ergonomics, biomechanics, and human–machine interaction. The
application of his research seeks to advance neural prosthetics, aid
people whose sense of touch is deteriorating, and improve human–robot
interfaces, particularly in medicine.


October 4, 2013
12:00 pm - 1:30 pm
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