Novel Approach to Natural Child Head and Hand Gestures using Roll and Slide Maximum Value Algorithm (RSMV)

Gesture recognition is an increasingly growing work area receiving, especially throughout the research fields of sign language recognition, security, human computer interaction, and intelligent cognitive systems. Human gesture is a spectrum that ranges from sign languages, through universal symbols, to natural and unconscious body moves. Gesture recognition techniques focus mainly on Sign language recognition and classification issues, while examining closely hand localization and tracking, and on various feature extraction techniques related to hand modeling and related dynamical analysis, with computer vision, and pattern recognition implementations for feature extraction from image sequences. Classification schemes involve several methods and include neural networks and variants, hidden Markov models and variants, principal component analysis, and numerous other machine learning methods or combinations [1-5].