Real Time Hand Gesture Recognition for Human Machine Communication Using ARM Cortex A-8

Vignesh. S, Mr.P. Saravanan.
2014 IOSR Journal of Computer Engineering  
A novel method proposes for human machine communication using ARM Cortex A-8 processor. Gesture is a form of non-verbal communication in which visible bodily actions communicate particular messages. A novel method proposes for human-machine communication via gesture. The real time system employs a USB web camera, Beagle board XM and HDMI Monitor. Web cam for capturing sequence of image to handle image recognition. Haar classifier used for object recognition was in real time gesture detector and
more » ... working with only image intensities made the task. Beagle board XM for act as mini CPU which is interface to monitor. The board consists of ARM cortex-A8 Processor which is take real time video for capture gesture image to control mouse moment and implement its functions. Haar classifier there not continuous and not differentiable one to another signal. Keyword: Real time hand gesture, Image recognition, Skin test, k th nearest neighbor algorithm, Beagle board XM, USB web camera, Haar classifiers, Real time operating system. I. Introduction Human computer interaction is one of the important area of research were people try to improve the computer technology. Now days we find smaller and smaller devices being used to improve technology. Hand gesture and object recognition is another area of research. A simple interface like embedded keyboard, folderkeyboard and mini keyboard already exists in today's market. However there interface need some amount of space to use and cannot be used while moving. Touch screen are also globally used which are good control interface and are being used in many applications. However, touch screen cannot be applied to desktop system because of cost and other hardware limitations. By applying vision technology[1], colored substance, image comparison technology and controlling the mouse by natural hand gesture[2] using Beagle board XM act as mini PC. Haar classifiers which are used for filter, noise reduce in an image and gesture image detector [3]. Different type of gestures stored in a database, computer vision [4] can estimate each gesture [5]. The gesture image capture from real time USB web camera to calculate pixel, scaling of image [6] and labeling each gesture [7] . Implements gesture recognition[8] based on hausdroff distance but is not real time, especially when implemented on dedicated system such as Beagle board XM. In many cases special gloves or markers have been used for efficient detection [1] and tracking which constraints the users and other vases demand a very simple and plain background [9] [10]. In a very real time method of hand gesture recognition [12] [15]based on convexity defect is presented but an analysis based only on convexity defects is dependent on smoothness of background [6] . Image recognition is the process of identifying and detecting an object or a feature in a digital image or video [10] . This concept is used in many applications like systems for factory automation, toll booth monitoring, and security surveillance. Typical post[11] image recognition algorithms include: Optical character recognition, Pattern and gradient matching, Face or Hand recognition, License plate matching, Scene change detection. This can implement using mat lab is familiar for image recognition. A different gesture [13] templates, finding the best match has been, hand finding convexities and Hu moment matching are implement. 'Mouse less' is an invisible computer mouse that provides the familiarity of interaction of a physical mouse without actually needing a real hardware mouse. Despite the advances in computing hardware technologies, the two-button computer mouse has remained the predominant means to interact with a computer. The Mouse less invention removes the requirement of having a physical mouse altogether but still provides the intuitive interaction of a physical mouse that users are familiar with II. System Block Diagram A predefined gesture data are stored in a board which is Database. A real time USB camera capturing real time gesture image and pass into Beagle board XM fig.1 . The board can covert image into frame and
doi:10.9790/0661-16294348 fatcat:ird4zae4undq5kfodeqyqr364a