Brain Computer Interface Systems: Progress and Opportunities

A brain computer interface (BCI) allows users to communicate without movement. BCIs infer user intent through direct measures of brain activity, usually via EEGs. BCIs are the only means of communication possible for some severely disabled users and are becoming increasingly useful to healthy subjects. The talk will present: 1) EEG and other brain imaging technologies, 2) components of a BCI, 3) how to build and use several different BCI systems, 4) videos of BCIs, and 5) future directions. Emphasis will be placed on recent advances and implications for practical commercial BCI systems.

Speaker Bios

Brendan Allison received his Ph.D. in Cognitive Science from the University of California at San Diego in 2003. He then worked as a postdoctoral research scientist with Jonathan Wolpaw in the Wadsworth Research Center in New York and Melody Moore in the Computer Information Systems Dept. at Georgia State University and Georgia Tech. He is currently a Research Associate in the Cognitive Electrophysiology Lab with John Polich at The Scripps Research Institute in La Jolla, California.

Date:
Haut-parleurs:
Brendan Allison
Affiliation:
The Scripps Research Institute in La Jolla, California