Update
American Scientific just (10/23/2013) published a lengthy article about this subject here.
Trigger
Carnegie Mellon University reports more progress in computers reading human emotions based on neural activation patterns. Read here or here.
Excerpt from the abstract of
the above PLOS paper (Emphasis added): “Method[:] actors were asked to self-induce nine emotional states (anger,
disgust, envy, fear, happiness, lust, pride, sadness, and shame) while in an
fMRI scanner. Using a Gaussian Naïve Bayes pooled variance classifier, we
demonstrate the ability to identify
specific emotions experienced by an individual at well over chance accuracy
…”
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