Title :
Hand gesture recognition: An overview
Author :
Shuai Yang ; Premaratne, Prashan ; Vial, P.
Author_Institution :
Sch. of Electr. Comput. & Telecommun. Eng., Univ. of Wollongong, Wollongong, NSW, Australia
Abstract :
Hand gesture recognition has been applied to many fields in recent years, especially in man-machine interaction (MMI) area, which is regarded as a more natural and flexible input. In this paper, an overview of hand gesture recognition research up to date is presented, which includes common stages of hand gesture recognition, common methods and technique of each stage, the state of the recent research and summaries of some successful hand gesture recognition models.
Keywords :
gesture recognition; user interfaces; MMI; hand gesture recognition; man machine interaction; Computers; Feature extraction; Gesture recognition; Hidden Markov models; Image color analysis; Image segmentation; Skin; Feature extraction; Gestures recognition; Hand gesture recognition; Man-Machine Interaction (MMI); Neural network; Segmentation;
Conference_Titel :
Broadband Network & Multimedia Technology (IC-BNMT), 2013 5th IEEE International Conference on
Conference_Location :
Guilin
DOI :
10.1109/ICBNMT.2013.6823916
