INTERNATIONAL JOURNA L OF ENGINEERING SCI ENCES & RESEARCH TECHNOLOGY Cursor Movement in Real Time using Hand Gesture Recognition
T. Suganya Thevi, C. Chitra · 2014
This paper proposes a method for cursor movements by using hand gestures recognized by Cascade Haar Classifiers. Purpose of this paper is to reduce the external hardware and to interact with the compute r. The system consists of two modules namely, gesture recognition and control of cursor movements. Gesture attained using neural net training to the cascade H aar classifiers. Supervised neural net training hel ps in removing gesture pattern that helps to classify a frame as a gesture. The frame from the video recorded using w eb cam is input. Based on the extracted features, from the f rame the cursor movements are controlled. This method improves the computational speed and also the effec tiveness of communication. The tool used here is Op enCV 1.0