Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models
Tipus de documentArticle
Condicions d'accésAccés restringit per política de l'editorial
The use of hand gestures offers an alternative to the commonly used human computer interfaces, providing a more intuitive way of navigating among menus and multimedia applications. This paper presents a system for hand gesture recognition devoted to control windows applications. Starting from the images captured by a time-of-flight camera (a camera that produces images with an intensity level inversely proportional to the depth of the objects observed) the system performs hand segmentation as well as a low-level extraction of potentially relevant features which are related to the morphological representation of the hand silhouette. Classification based on these features discriminates between a set of possible static hand postures which results, combined with the estimated motion pattern of the hand, in the recognition of dynamic hand gestures. The whole system works in real-time, allowing practical interaction between user and application.
CitacióMolina, J. [et al.]. Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models. "Machine vision and applications", 06 Agost 2011, vol. 24, núm. 12, p. 187-204.
Versió de l'editorhttp://www.springerlink.com/content/062m51v58073572h/fulltext.pdf
|Real-time user ... nd gesture recognition.pdf||1.325Mb||Accés restringit|