Hand gestures are widely used in music education. The applied gesture set is well defined since the XIX. century and contains a small number of gestures only. We present a fast and robust method for recognizing solfège hand signs with smart glasses in egocentric perspective. Our method achieves above 95% classification rate and close to real time performance running on an unmodified Google Glass device.