electrooculographic (EOG) eye tracking
I just stumbled across this wonderful and relevant little online PDF file, and it looks like a great place for us to start researching eye tracking WHILE WEARING A RIFT DK, using electrical signals from electrodes placed near the eyes. Perhaps such electrodes could be attached to or embedded in the Rift facemask foam:
Real–Time Low–Latency Estimation of the Blinking and EOG Signals
http://cdn.intechopen.com/pdfs/35328/InTech-Real_time_low_latency_estimation_of_the_blinking_and_eog_signals.pdf
And here is some other very interesting related information I found while searching for a relevant image to embed here:
http://neuroscience.uth.tmc.edu/s2/chapter14.html
And here is a "next generation in eye tracking" project using EOG:
http://edge.rit.edu/edge/P09004/public/Home

And here is a simplified (and limited) DIY EOG circuit built with an Arduino:
http://arduino.cc/forum/index.php/topic,8703.0.html

Real–Time Low–Latency Estimation of the Blinking and EOG Signals
http://cdn.intechopen.com/pdfs/35328/InTech-Real_time_low_latency_estimation_of_the_blinking_and_eog_signals.pdf
"Robert Krupinski and Przemysław Mazurek" wrote:
Electrooculography biosignals (EOG) are very important for the eye orientation and eyelid movements (blinking) estimation. There are many applications of the EOG signals.
...
The EOG signal has much higher level than the important EEG (electroencephalography) signals and should be removed from the EEG measurements [Duchowski (2007); Shayegh & Erfanian (2006)]. The reduction of the EOG artifacts from EEG is considered by many researchers and it is also important for the practical applications of the EEG–based Human–Computer Interfaces.
The EOG and blinking signals are used in Human–Computer Interfaces in: the ergonomics, the advertisement analysis [Poole & Ball (2005)], the human–computer interaction (HCI) systems (e.g. a virtual keyboard [Usakli at al. (2010)], the vehicle control [Barea et al. (2002); Firoozabadi (2008)], the wearable computers [Bulling et al. (2009)]), and the video compression driven by eye–interest [Khan & Komogortsev (2004)].
And here is some other very interesting related information I found while searching for a relevant image to embed here:
http://neuroscience.uth.tmc.edu/s2/chapter14.html
And here is a "next generation in eye tracking" project using EOG:
http://edge.rit.edu/edge/P09004/public/Home

And here is a simplified (and limited) DIY EOG circuit built with an Arduino:
http://arduino.cc/forum/index.php/topic,8703.0.html

