| Sumario: | The article provides information on affective computing. It is described as an attempt to determine a user's mood or emotion through visual, auditory, physiological and behavioral cues. Computing researchers are developing systems that attempt to measure both short-term, responsive phenomena and longer-term moods. The Computer Expression Recognition Toolbox (CERT), developed by the Machine Perception Laboratory at the University of California-San Diego, uses Gabor filters at multiple orientations, which are mapped to facial units via machine learning. Mood Sense, a research collaboration between Microsoft Research Asia and Rice University in Houston, Texas, correlates user feelings only to communication behaviors and user interactions with applications and the Web browser.
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