These notes provide background on pattern recognition for the new NSF-sponsored
course entitled Human
Computer Interface Design.
The keyboard and mouse are the most common computer input devices, and they
present the fewest problems in pattern recognition. When you press a key
on a keyboard or click a button on the mouse, the computer receives an unambiguous
character code; when you position the mouse, the computer receives a pair
of unambiguous coordinates.
But what about other input devices -- cameras, microphones, and various
other sensors? An A/D converter can put the analog images or sounds or waveforms
into digital form, but how can the computer understand what these signals
mean? For gesture or speech or handwriting input, these digitized signals
have to be processed so that the computer can recognize the intended meaning.
These notes describe one way that this can be done. We cover the following
topics:
Note: We take a statistical approach to pattern recognition. Standard texts on this topic include Devijver and Kitler, Duda and Hart, and Fukunaga. For a good introductory book, see Hand. For other approaches to pattern recognition, see Pao and Schalkoff.
Up to EE296I
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