Author(s): Ashwini Shivatare, Poonam wagh, Mayuri Pisal,Varsha Khedkar, Prof. Mrs. Vidya Kurtadikar
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Vol.2 - Issue 3 (March - 2013)
Abstract- Hand gesture recognition (HGR) provides an intelligent and natural way of human computer interaction (HCI). Its applications range from medical rehabilitation to consumer electronics control (e.g. mobile phone). In order to distinguish hand gestures, various kinds of sensing techniques are utilized to obtain signals for pattern recognition. The HGR system can be divided into three parts according to its processing Steps : hand detection, finger identification, and gesture recognition. The system has two major advantages. First, it is highly modularized, and each of the three steps is capsuled from others; second, the edge/contour detection of hand as well as gesture recognition is an add-on layer, which can be easily transplanted to other applications. In IP Gaming we are proposing a system in which without using sensors and devices, we are detecting the hand and gesture with simple web camera and performing the image processing technique in which using those gesture, we can play game on console. In Image Process Gaming, the motions are detected through a web camera. These images are then passed for the image processing. The techniques used for image processing are hand gesture detection, edge detection, thresholding, contour detection. Using OpenCV, which provides a library collection of functions for different image processing techniques, these input images can be processed and corresponding key strokes will be generated.
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