Numeral Gesture Recognition Using Leap Motion Sensor

3-Dimensional gesture tracking and recognition systems are changing traditional methods of human computer interaction with gesture interaction. These systems offer advantage of tracking and recognizing unencumbered gestures which are drawn in free air. In this paper, we present numeral gesture recognition using Leap Motion. Leap motion is a 3D motion sensor which provides unencumbered, 3-dimensional gestures drawn in free air. Researchers has done ton of work related to numeral gestures recognition with the help of Microsoft Kinect 3D sensor, Prima Sense 3D motion sensor and other similar devices. In place of traditional gesture capturing devices, we used Leap Motion to capture free air numeral gestures and applied Geometric Template Matching method to classify gesture numerals ranging from 0-9. The experimental results shows that average classification rate of 70.2% is achieved by Geometric Template Matching.