This project is read-only.
Code Availability
All of the code will be added by June 2009.

Real-time, static and dynamic hand gesture learning and recognition makes it possible to have a machine recognize hand gestures and respond to them similar to a human. This creates endless possibilities in the way humans can interact with computers, allowing a human hand to be a peripheral by itself. The software framework developed provides a lightweight, robust, and practical application programming interface that helps further research in the area of human-computer interaction. Established approaches in computer vision such as using Features from Accelerated Segment Test (FAST) corner detection, a semi-supervised Fuzzy ARTMAP neural network for incremental online learning and recognition of static gestures; and, Hidden Markov models for dynamic recognition.

Last edited Mar 29, 2009 at 12:08 AM by talexander, version 3