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I am from Computer Sciences background. The problem which I want to target is to be able to successfully predict (to a degree) that a person is going to smoke in near future.

I have a brainwave sensor which gives me EEG. I am interested in using this data to predict the urge of smoking. My questions are as follows:

  • Is is possible to do such kind of analysis? If yes, what are the key terms I should explore to understand the relation between EEG values and urge of smoking.
  • If no, what should be the data which I should try to get to solve this problem?

I do not seek complete answer, I only seek pointers to helpful literature.

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    $\begingroup$ @ChrisStronks: Thank you for your inputs Chris. I have updated the question description. By behavioral analysis, I mean indications through body language, social interactions, cellphone usage, internet usage, etc. In brain activity, I would limit myself to EEG data. Thanks. $\endgroup$
    – Bhoot
    Jan 19, 2015 at 12:44
  • $\begingroup$ Thanks a lot, that helps. However, the body of your question reads pretty much like: "How to predict one lighting a ciggie from EEG" while your title emphasizes behavioral analysis. sorry for being picky, but broad, vaguely defined questions tend to remain unanswered, while well- defined questions generally get helpful and multiple to-the-point answers - I'm just trying to help! $\endgroup$
    – AliceD
    Jan 19, 2015 at 12:48
  • $\begingroup$ @ChrisStronks: Absolutely true. I am thinking of a better title for the question. :) $\endgroup$
    – Bhoot
    Jan 19, 2015 at 12:49
  • $\begingroup$ @ChrisStronks: Thank you Chris. :) $\endgroup$
    – Bhoot
    Jan 19, 2015 at 12:54
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    $\begingroup$ @Bhoot, I think this answer should get you started. Most of the work involved will be in feature selection/engineering, and that's a very open-ended, trial-and-error-driven process. $\endgroup$ Jan 28, 2015 at 13:24

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