UNIVERSITY OF HERTFORDSHIRE
		COMPUTER SCIENCE RESEARCH COLLOQUIUM

			     presents


      "Adaptive Myoelectric Human-Machine Interface Applied 
              for Rehabilitation and Assisting Robots"

                    Dr. M. Reza Asghari Oskoei 
      (School of Computer Science, University of Hertfordshire)


                    21 October 2009 (Wednesday)
			 Lecture Theatre E351 
		   Hatfield, College Lane Campus
			      3 - 4 pm


		   Everyone is Welcome to Attend

                   Refreshments will be available



Abstract:

Since most disabled people have problems manipulating current assistive robots
and rehabilitation devices that employ traditional user interfaces, such as 
a joystick and/or keyboard, they need more advanced hands-free human-machine 
interfaces (HMIs). Surface myoelectric signal (MES) is a  biological signal 
collected non-invasively from surface of the skin covering the muscles, and 
contains rich information to identify neuromuscular activities. A myoelectric 
HMI uses MES as an input signal to recognize various patterns of muscular 
activities and employs them to produce the effect of user's intention on its 
output. Due to time-related changes in MES patterns, predominantly caused by 
muscles fatigue, the HMI performance declines gradually. This phenomenon 
necessitates an adaptive scheme that involves modifying the control criteria 
during long-term operation.

---------------------------------------------------
Hertfordshire Computer Science Research Colloquium
http://homepages.feis.herts.ac.uk/~nehaniv/colloq