This is the first entry in a new blog site established to record research efforts in the study of emotion recognition using computer vision.
This research is part of an ongoing research effort in using active appearance models to recognize
emotion from facial expressions.
In April, Dr. Eric Patterson and I presented at an IASTED HCI conference in Austria on the topic.
Our first classification scheme involved a simple euclidean distance measure from the unknown expression to mean
of each emotion cluster. The results were promising, but warranted further investigation.
This blog will pick up where we left off by exploring gaussian distributions of the data set, and possibly
SVM and HMM for image sequences in video.
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