Sign Language Recognition with Kinect

A framework for general gesture recognition is presented and tested with isolated signs of sign language. Other than common systems for sign language recognition, this framework makes use of Kinect, a depth camera developed by Microsoft and PrimeSense, which features easy extraction of important body parts. Recognition is done using hidden Markov models with a continuous observation density. The framework also o ers an easy way of initializing and training new gestures or signs by performing them several times in front of the camera. Results show a recognition rate of > 97% for eight out of nine signs when they are trained by more than one person.