Home Outlet and LED Array Lamp Controlled by a Smartphone with a Hand Gesture Recognition

Abstract :  In this paper, we design a home outlet and a LED array lamp controlled by hand gesture recognition with a smart phone that has a system composed of two parts: a smart phone's application and a wireless remote control unit (WRCU). The application can read the accelerometer and gyroscope in a smart phone by means of hand gesture recognition and send a control command to the wireless remote control unit. The wireless remote control unit can decode the received message and echo the corresponding action. This design incorporates a LED array lamp as the home outlet used to control both the on/off function and the dimming function.
 EXISTING SYSTEM :
 ? An alternative to VGR techniques is a sensor-based gestures recognition (SGR) technique, which carries out continuous gesture recognition from the data produced by sensors. ? Dynamic hand gestures are those gestures which involve movement of body parts like waving of hand while static hand gestures include single formation without movement. ? The LSTM has been successfully applied to various applications, such as speech recognition, image caption generation, and machine translation. ? A simple gesturespotting scheme is then carried out to find the maximum a posteriori (MAP) solution for the final classification, given the observed output path.
 DISADVANTAGE :
 ? It tries to deploy a well-known machine learning algorithm to solve the problem of gesture recognition. ? When implementing the recognition system using background subtraction, we encountered several drawbacks and accuracy issues. ? The LSTM algorithms can also operate along for solving SGR recognition problems. ? Although the algorithms have been found to be effective, many techniques have a common drawback that they are designed only for a single continuous gesture.
 PROPOSED SYSTEM :
 • In this paper we proposed the hand gestures can be used to automate home applications and also control documents in the system. • A novel method to recognize hand gestures for human computer interaction, using computer vision and image processing techniques, is proposed in this paper. • The proposed method can successfully replace such devices (e.g. keyboard or mouse) needed for interacting with a personal computer. • We intend to make decisions on the methods and algorithms that we have considered to use during the implementation phase of our proposed system.
 ADVANTAGE :
 ? In this paper, we have designed a robust marker- less hand gesture recognition system which can efficiently track both static and dynamic hand gestures. ? Cost efficient models like have implemented their systems using simple web cameras. ? In our system, we use the webcam inbuilt which is cost efficient to recognize both static and dynamic gestures. ? The camera module identifies the different cameras and markers that can be used. The detection module deals with the pre-processing of image and feature extraction. ? We used a webcam available in the laptop without the use of any additional cameras by making the system cost effective.

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