What kind of data and sensors might be ideal for a model that does lie detection? • /r/MachineLearning

Ideally speaking, some kind of high resolution neuro-imaging data would be very useful. Activated and suppressed areas may contain some signal in them. But that kind of setup is not quite possible to apply in real time lie detection. So I move on to other possible cognitive signals. I didn't do any research but I suspect ERP data can be usefull.