@inproceedings{kratz2010threedollar,
	abstract = {We present the $3 Gesture Recognizer, a simple but robust gesture recognition system for input devices featuring 3D acceleration sensors. The algorithm is designed to be implemented quickly in prototyping environments, is intended to be device-independent and does not require any special toolkits or frameworks. It relies solely on simple trigonometric and geometric calculations. A user evaluation of our system resulted in a correct gesture recognition rate of 80%, when using a set of 10 unique gestures for classification. Our method requires significantly less training data than other gesture recognizers and is thus suited to be deployed and to deliver results rapidly.},
	title = {A $3 gesture recognizer: simple gesture recognition for devices equipped with 3D acceleration sensors},
	author = {Kratz, Sven and Rohs, Michael},
	booktitle = {Proceeding of the 14th international conference on Intelligent user interfaces},
	location = {Hong Kong, China},
	doi = {10.1145/1719970.1720026},
	isbn = {978-1-60558-515-4},
	year = {2010},
	papertype = {shortpaper}
}