@inproceedings{WoehlerGrossekathoeferDierkerHanheideKoppHermann2010-ACF,
	author = {W{\"o}hler, Nils-Christian and Gro{\ss}ekath{\"o}fer, Ulf and Dierker,
	Angelika and Hanheide, Marc and Kopp, Stefan and Hermann, Thomas},
	title = {A calibration-free head gesture recognition system with online capability},
	booktitle = {International Conference on Pattern Recognition},
	year = {2010},
	pages = {3814-3817},
	address = {Istanbul, Turkey},
	month = {08},
	organization = {IEEE Computer Society},
	publisher = {IEEE Computer Society},
	abstract = {In this paper, we present a calibration-free head gesture recognition
	system using a motion-sensor-based approach. For data acquisition
	we conducted a comprehensive study with 10 subjects. We analyzed
	the resulting head movement data with regard to separability and
	transferability to new subjects. Ordered means models (OMMs) were
	used for classification since they provide an easy-to-use, fast,
	and stable approach to machine learning of time series. In result,
	we achieved classification rates of 85-95 % for nodding, head shaking
	and tilting head gestures and good transferability. Finally, we show
	first promising attempts towards online recognition.},
	bdsk-url-1 = {http://dx.doi.org/10.1109/ICPR.2010.92},
	doi = {DOI 10.1109/ICPR.2010.92}}