Better CHI through Signal Processing (People Centric Processing) (07 Jan 2000)
One of the most difficult problems in computer science is recognizing and synthesizing the full range of human behavior. It is important to allow humans to deal with computers on human terms. I will describe several techniques that my colleagues and I have developed that use signal computation to improve human-computer interaction. I will talk about algorithms that sense human behavior (BabyEars), entertain our senses (audio morphing and Magic Mirror), synthesize realistic humans (Video Rewrite) and improve human perception (Mach1 and auditory scene analysis). We call this style of computation people-centric processing.
Article URL: http://hci.stanford.edu/seminar/abstracts/99-00/000107-slaney.html
(Malcolm Slaney, Interval Research)
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