Submitted by He (Helen) Huang on September 14th, 2015
Sponsor(s)
National Science Foundation
University of Rhode Island
Contributor(s)
He (Helen) Huang
Remote Video
Submitted by He (Helen) Huang on October 30th, 2013
Abstract:
The objective of this study is to develop a high-performance and robust neural-machine interface (NMI) for artificial legs, which can accurately and reliably identify user intent in real-time.
Submitted by He (Helen) Huang on October 24th, 2013
Abstract
Submitted by He (Helen) Huang on September 26th, 2012
Submitted by He (Helen) Huang on November 4th, 2011
Submitted by He (Helen) Huang on November 4th, 2011
The objective of this research is to develop a trustworthy and high-performance neural-machine interface (NMI) that accurately interprets the user’s intended movements in real-time for neural control of artificial legs.
Submitted by Shahan Yang on August 8th, 2010