Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!wuarchive!zaphod.mps.ohio-state.edu!uakari.primate.wisc.edu!dali.cs.montana.edu!milton!lmiller@aerospace.aero.org From: lmiller@aerospace.aero.org (Lawrence H. Miller) Newsgroups: sci.virtual-worlds Subject: Re: Neural Interfacing and VR Message-ID: <10713@milton.u.washington.edu> Date: 5 Nov 90 20:49:07 GMT References: <9963@milton.u.washington.edu> Sender: hlab@milton.u.washington.edu Organization: The Aerospace Corporation, El-Segundo, CA Lines: 40 Approved: hitl@hardy.u.washington.edu In article <9963@milton.u.washington.edu> keithley@applelink.apple.com (Craig Ke ithley) writes: > > >Neural Interfacing (and its application to VR) might be here sooner than >you think. > >Some 15 years ago a UCLA research project successfully used VERY low end >minicomputers to detect specific thoughts. The basic idea was/is that it >possible to pattern match a properly filtered set of brain waves to a >previously captured sample. When youUve got a good match, you can respond >to the command in a manner similar to voice recognition. The person in charge was Dr. Jacques Vidal. His lab was called the brain-computer interface lab. Here is a relevant publication (refer format): %A Jacques J. Vidal %T Real-Time Detection of Brain Events in EEG %J Proceedings of the IEEE %V 65 %N 5 %D May, 1977 %P 633-641 It is important to emphasize that this work did not detect "thoughts" at all, and was never claiming that it did. Rather it detected "event-related potentials", the events being a stimulus--a light flashing, and based on which direction you were LOOKING (not thinking about looking, but actually looking), the project performed pattern recognition techniques to determine the gaze direction from the evoked EEG signal. Larry Miller Aerospace Corporation lmiller@aerospace.aero.org 213-336-5597