Abstract
Touchscreen gestures are an important method of interaction for both children and adults. Automated recognition algorithms are able to recognize adults’ gestures quite well, but recognition rates for children are much lower. My PhD thesis focuses on analyzing children’s touchscreen gestures and using the information gained to develop new, child-centered recognition approaches that can recognize children’s gestures with higher accuracy than existing algorithms. This paper describes past and ongoing work toward this end and outlines the next steps in my PhD work.
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