Title :
Hand posture recognition and classification
Author :
Öncül, Sevil ; Yürekl, Merve ; Albayrak, Songül
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Yildiz Teknik Univ., İstanbul, Turkey
Abstract :
In recent years, human-computer interaction is become very important with developing new techniques. This situation has made a power by speeding up the potential applications in the area of human-computer interactions. But in order to use hands for interaction, it is necessary to be able to recognize them in images. In this study, 10 different hand posture images from 24 different signers are used for recognition and classification.
Keywords :
human computer interaction; image classification; pose estimation; hand posture classification; hand posture recognition; human-computer interaction; image recognition; Conferences; Gesture recognition; Human computer interaction; Image recognition; Robots; Signal processing; Transforms;
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4577-0462-8
Electronic_ISBN :
978-1-4577-0461-1
DOI :
10.1109/SIU.2011.5929828
