A Survey: Movement of the Hand motion Trajectory for dependent and independent Recognition

HCI makes a evaluation on the use of depth for hand following and gesture recognition through multi stroke in free mid-air Trajectory. The survey examines 10 papers describing depth-based gesture trajectory scheme. Various methods used with different algorithm in single stroke of the hand localization and gesture classification methods; the purpose is to make process aqua-rate, faster with various parameters. The review is organized about a new model of extreme importance in designing an intelligent and efficient human-computer interface. In the reviewed literature, the enclosed issues include preprocessing, object tracing and recognition, human activity analysis. Hand Gesture plays a most significant role in HCI for providing interactive framework, movement of the hand gesture trajectory find favorable characteristics. Various inputs should be taken through depth camera of various activities of posture of hand behavior of alphabets and numeric values with single stroke with different method like Neural Network, HMMs and DTW. Now this paper an investigation and comparative results has been shown through various paper.