I was reading about this: http://ge.tt/3nXdgiQ/v/0, its from Reddit where the article stated:
"However, when we examined the whole data set of 298 assessments, a cross-validated probabilistic neural network model was superior and could discriminate all cases from controls with near perfect accuracy at 98.3%."
Is this not the case?
(article here: http://www.scotsman.com/news/health/schizophrenia-diagnosed-...)
EDIT: … I should also have noted that humans are notoriously suggestible – with a mental illness it's really easy to imagine people both assuming every quirk is proof of a terrible disease or even starting to demonstrate symptoms psychosomatically after being told that this will happen eventually.
Culturally, not sure if psychiatrists are in the habit of examining eye movements as closely as, say, a neurologist or neuro-opthalmologist, but it'd be interesting if this is replicable by other groups.
it might not be the canonical work.
In the near future most laptops will have the ability to do realtime eye tracking so these kinds of tests could be administered broadly, probably even through a web page.
http://www.tobii.com/en/eye-experience/ this is probably better than what we were using.
So I'd say all the pieces are in place to do this. The architectural design of the tobii and the leapmotion is almost identical. High frame rate cameras over USB3 illuminated with IR.
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Throw in an http://emotiv.com/ EEG and one could do all sorts correlations.
Would you mind linking to the Reddit thread that it was mentioned in? Just curious.