AAAI Publications, Twenty-Third International FLAIRS Conference

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Recognizing American Sign Language Letters: A Machine Learning Experience in an Introductory AI Course
Ellen L. Walker

Last modified: 2010-05-06

Abstract


This paper describes a class project to introduce machine learning topics to an introductory artificial intelligence course as part of the MLExAI Project. The project’s topic was taken from the area of computer vision, specifically the use of principal component analysis for image classification. As a project within their AI class, students developed programs in the GNU Octave programming environment that successfully classified images of hands signing letters from American Sign Language according to the letter being signed. Based on surveys and analysis of course examinations, we found that students enjoyed and were motivated by the project, and the project seemed to enhance their learning of machine learning concepts.

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