Discrete and Continuous Models and Applied Computational ScienceDiscrete and Continuous Models and Applied Computational Science2658-46702658-7149Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University)8535Research ArticleASL Fingerspelling RecognitionNahapetyanV EInformation Technology Departmentvahagnahapetyan@gmail.comPeoples’ Friendship University of Russia15022013210511308092016Copyright © 2013,2013A method is proposed and software is developed for automatic recognition of gestures used in ASL fingerspelling. Static gestures are captured using the new generation 3D sensor Asus Xtion Pro Live. Gesture recognition is achieved by extracting and further comparing the normalized geometric skeletons of the hand. Hand skeletons are compared using Dynamic Time Warping algorithm, which has polynomial complexity.ASLDTWgesture recognitionASLDTWdepth imageраспознавание жестовдальностное изображение