Paper-13 | Reg. No.:20130913|DOI:V2I2P13
HAND GESTURE GLOW USING SIXTH SENSE TECHNOLOGY FOR INTERACTIVE HCI
Aditya Mhatre , Aditya Raut – Dept. of Electronics &Telecommunication, University of Mumbai, India.
The use of hand gesture provides an attractive alternative to cumbersome interface devices for human computer interaction (HCI). Many hand gesture recognition methods using visual analysis have been proposed: syntactical analysis, neural networks, the hidden Markov model (HMM). In the pre-processing stage, our approach consists of three different procedures for hand localization, hand tracking and gesture spotting. The hand location procedure detects hand candidate regions on the basis of skin-color and motion. The hand tracking algorithm finds the centroids of the moving hand regions, connects them, and produces a hand trajectory. The gesture spotting algorithm divides the trajectory into real and meaningless segments. To construct a feature database, this approach uses a combined and weighted location, angle and velocity feature codes..