Studying emotions...

I have considered myself a database architect throughout most of my career, however, if you ask my friendly dog he would probably bark back that I am a mixed breed. One of the most important elements in data integrity and information quality is written in books, and, as my attention is distracted from standard textbooks that I still follow, creativity seems more interesting to engage in as I ask myself questions that make me feel like I am thinking out of the box. Effectively nobody understands me, therefore, my ideas must be really jumbled out of a jigsaw puzzle.
Having been inspired by recent studies - considered inethical by the press, I came up with the basic variables leading to analyzing emotions as the basis for artificial intelligence. One might use EEG tests, as equipment and then gather the data and crunch it to a research project where sample data would be the basis for a set of training data that could be used for knowledge discovery, initially based on a score that is multiplied by a weighting to measure the impact of emotional bias that would be gathered through medical equipment, and, the simplest of formulas would look like this:
Θ = 1 x 0.99 = 0.99 or 99%
NOTE: Θ is a fraction of 1 and 0.99 represents the emotional bias weighting fraction, a measure to gauge the statistical error when these factors are aggregated and processed through signal processing has to be analyzed and this analysis will then be developed to a software prototype, following this basic percentage driven score, which falls short of mathematical analyses.

Further reading
1. MTIQ Publications.
2. DHS Information Quality Standards
3. Whitehouse Information Policy
4. DSDM Consortium