A Study of Hand Gesture Identification with Convolution Neural Network

Abstract

Human-Computer Interaction is the study of how the people interact with machine. Hand gesture technology is active research in computer vision and machine learning. Hand gesture recognition is used enormously in the recent years for Human Computer Interaction (HCI). In this research work, we study about hand gesture identification with machine learning technique. Basically implementation of hand gesture identification has three phases: Preprocessing, Feature extraction, and Classification. This study includes brief review on pre-processing, feature extraction, and classification