Sixth Sense Technology-Hand Gesture Based Virtual Keypad
A Shamya, Athulya Roy, Farsana Tk, Jismy Devasia · 2018
Sixth Sense Technology integrates digital information into the physical world and its objects, making the entire world our computer. It is a wearable gestural interface that augments the physical world around us with digital information and lets us use natural hand gestures to interact with that information. It can turn any surface into a touch- screen for computing, controlled by simple hand gestures. Hand gesture recognition system can be used for interfacing between computer and human using hand gesture. This work presents a technique for a human computer interface through hand gesture recognition that is able to recognize gestures from the American Sign Language hand alphabet. The objective of this thesis is to develop an algorithm for recognition of hand gestures with reasonable accuracy. The segmentation of gray scale image of a hand gesture is performed using thresholding algorithm. Algorithm treats any segmentation problem as classification problem. Total image level is divided into two classes one is hand and other is background. The optimal threshold value is determined. A morphological filtering method is used to effectively remove background and object noise in the segmented image. Morphological method consists of dilation, erosion, opening, and closing operation. ‘Prewitt’ edge detection technique is used to find the boundary of hand gesture in image. Therefore by using hand gestures, it recognizes the images. Keywords: HCI, MATLAB