# abstract
Sketch recognition techniques have generally fallen into two camps. Gesture-based techniques, such as those used by the Palm Pilot's Graffiti, can provide highaccuracy, but require the user to learn a particular drawing style in order for shapes to be recognized. Free-sketch recognition allows users to draw shapes as they would naturally, but most current techniques have low accuracies or require significant domain-level tweaking to make them usable. Our goal is to recognize free-hand sketches with high accuracy by developing generalized techniques that work for a variety of domains, including design and education. This is a work-in-progress, but we have made significant advancements toward our over-arching goal.

# publicationOutlet
CHI '08 Extended Abstracts on Human Factors in Computing Systems

# nameOfConference
CHI '08 Extended Abstracts on Human Factors in Computing Systems

# authors[].organizations[].label
Center for Remote Health Technologies and Systems

# authors[].organizations[].label
Texas A&M Engineering Experiment Station (TEES)

# authors[].organizations[].label
Institute for Engineering Education and Innovation

# publisher.label
Association for Computing Machinery (ACM)

# authorList[]
Hammond, T., Eoff, B., Paulson, B., Wolin, A., Dahmen, K., Johnston, J., & Rajan, P.