Kinect can now be used to diagnose depression with 90% accuracy?

Kinect can now be used to diagnose depression with 90% accuracy?
thescorpionthefrog.com

If not, we're at best talking about a magnitudinal thing or a probability thing. Like a Bayesian thing where each symptom's presence updates the probability of the person being depressed, which is turn based off of a database of previous cases of diagnosed depression and what symptoms they had.

But even that may be circular, ultimately. It could just as well be that depression is a vague category of similar symptoms that each come from a wide variety of scientific causes.

This is not to be mistaken for saying it doesn't exist or that it's all in someone's head - it's more just to say that if someone has depression, they have something that may deserve treatment and sensitivity, but that it's something that we still do not know exactly how to describe or diagnose, and so therefore we will just call it "depression" in the meantime. But what if we've sort of collectively forgotten the "in the meantime" part?

Im not sure I totally buy it - Im sure it can pick up the signs with 90% accuracy but how often do the signs actually correspond to a clinically depressed person. Just because your in a down mood at one moment does not mean you are depressed - depression is just a lot more complex than that. Im not sure that this would be of much use in accurate diagnosis although it seems like pretty interesting tech.

http://en.wikipedia.org/wiki/Diagnostic_and_Statistical_Manu...

Worth a look if you're interested in how mental disorders are diagnosed.

As someone with relatively mild depression, you'd never know it in normal conversation. But if you ask directly about symptoms and I give honest answers, both the answers themselves and my body language will probably give you a pretty good indication.