Kittasil Silanon, Nikom Suvonvorn and Montri Karnchanadecha, 2011, Thai Alphabet Recognition from Hand Motion Trajectory Using HMM, In Proceedings of International Conference on Signal Acquisition and Processing (ICSAP 2011), February 26-28, 2011, Singapore, p.189-193.
In this paper, we propose a system for Thai alphabet recognition from hand movement trajectory, as a human-computer interaction method. Thai characters drawing by hand movement are analyzed and recognized by our system, which can apply for controlling any specific tasks. The method is based on hand motion analysis combining with Haar-like with a cascade of boost classifiers, as hand detection method. Hand is tracked with skin color using CamShift and Kalman filter. Trajectory features of hand are extracted and used for recognizing 12 Thai alphabet letters though the Hidden Markov Model.
