@conference {13187,
	title = {Depth Based Hand Shape Recognition using Contour Analisys},
	booktitle = {VideoJogos{\textquoteright}2014},
	year = {2014},
	abstract = {<p>{\textemdash} Human-Computer Interaction (HCI) faces a great challenges in what concerns the creation of a fully natural interface that is able to recognize a wide range of hand gestures in real-time. Lately efforts have been made by the research community catalyzed by the wide appearance of depth sensors such as the one from the Microsoft Kinect sensor. Nevertheless the available solutions struggle to robustly recognize hand gestures since, compared with the rest of the body, the hand is a small region with many joints, difficult to recognize and ultimately track. This paper proposes a hand shape recognition method that takes advantage of the depth sensor and the joint tracking ability of Microsoft Kinect sensor. The proposed method relies on the analysis of the hand contour or outline and compares it with previously stored templates achieving a good recognition ratio and proving it eligible<br />
for real-time scenarios. </p>
},
	author = {Delgado, Jo{\~a}o and Cardoso, Tiago and Mota, Pedro}
}
