Title:
Cyber Human Interaction: A Control Systems/Robotics Perspective on Functional Electrical Stimulation

dc.contributor.author Dixon, Warren
dc.contributor.corporatename Georgia Institute of Technology. Institute for Robotics and Intelligent Machines en_US
dc.contributor.corporatename University of Florida en_US
dc.date.accessioned 2017-10-19T13:43:03Z
dc.date.available 2017-10-19T13:43:03Z
dc.date.issued 2017-10-04
dc.description Presented on October 4, 2017 from 12:15 p.m.-1:15 p.m. in the Marcus Nanotechnology Building, Rooms 1116-1118, Georgia Tech. en_US
dc.description Warren Dixon received his Ph.D. in 2000 from the Department of Electrical and Computer Engineering at Clemson University. After graduation, Oak Ridge National Laboratory (ORNL) selected him for a Eugene P. Wigner Fellow, and he worked at ORNL for four years. In 2004, he joined the University of Florida in the Mechanical and Aerospace Engineering Department. Dixon’s main research interest has been the development and application of Lyapunov-based control techniques for uncertain nonlinear systems. He has published three books, an edited collection, more than a dozen chapters, and approximately 140 journal and 240 conference papers. In addition to the American Automatic Control Council (AACC) recognizing his work in 2009 and 2015, Dixon has received numerous other awards and honors. He received an O. Hugo Schuck (Best Paper) Award, the 2013 Fred Ellersick Award for Best Overall MILCOM Paper, a 2012-2013 University of Florida College of Engineering Doctoral Dissertation Mentoring Award, and the 2011 American Society of Mechanical Engineers (ASME) Dynamics Systems and Control Division Outstanding Young Investigator Award. The IEEE Robotics and Automation Society (RAS) awarded Dixon the Early Academic Career Award in 2006. He also received an NSF CAREER Award (2006-2011), the 2004 Department of Energy Outstanding Mentor Award, and the 2001 ORNL Early Career Award for Engineering Achievement. Dixon is an ASME Fellow and IEEE Fellow, an IEEE Control Systems Society (CSS) Distinguished Lecturer, and he served as the director of operations for the Executive Committee of the IEEE CSS Board of Governors (2012-2015). For his service to the U.S. Air Force Science Advisory Board (2012-2016), he was awarded the Air Force Commander’s Public Service Award. en_US
dc.description Runtime: 64:19 minutes en_US
dc.description.abstract Application of an electric field across skeletal muscle causes muscle contractions that produce limb movement. Clinicians have long prescribed electrical stimulation as a means to strengthen muscle; however, clinicians have had a growing interest in electrical stimulation to evoke coordinated limb motions for functional tasks such as cycling. Motivation for such a cybernetic system includes advanced rehabilitative outcomes (i.e., neuroplasticity and restoration of function) for individuals with neurological disorders. A challenge to developing these outcomes is that muscle activation dynamics are uncertain and nonlinear, and the dynamics of limb motion also require the coordinated switching among multiple muscle groups. Moreover, artificial stimulation of the muscle is highly inefficient, leading to rapid muscle fatigue, which can limit the therapeutic outcomes. This talk focuses on how perspectives from and advances in robotics/automation/control systems can be used to overcome these challenges. Underlying theories and experimental results for various closed-loop electrical stimulation methods will be described, including recent advances in cybernetic cycling where a robotic bicycle is combined with an electrically stimulated person to facilitate various rehabilitative objectives. en_US
dc.format.extent 64:19 minutes
dc.identifier.uri http://hdl.handle.net/1853/58838
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries IRIM Seminar Series
dc.subject Artificial stimulation en_US
dc.subject Cybernetic cycling en_US
dc.subject Cybernetic system en_US
dc.subject Electrical stimulation en_US
dc.subject Neurological disorders en_US
dc.subject Robotics en_US
dc.title Cyber Human Interaction: A Control Systems/Robotics Perspective on Functional Electrical Stimulation en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
local.relation.ispartofseries IRIM Seminar Series
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
relation.isSeriesOfPublication 9bcc24f0-cb07-4df8-9acb-94b7b80c1e46
Files
Original bundle
Now showing 1 - 3 of 3
No Thumbnail Available
Name:
dixon.mp4
Size:
516.64 MB
Format:
MP4 Video file
Description:
Download Video
No Thumbnail Available
Name:
dixon_videostream.html
Size:
985 B
Format:
Hypertext Markup Language
Description:
Streaming Video
No Thumbnail Available
Name:
transcription.txt
Size:
54.45 KB
Format:
Plain Text
Description:
Transcription Text
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.13 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections