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Hand gesture recognition technology
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Recommended: Hand gesture recognition technology
On-line hand writing character recognition using accelerometers is the basic proto-type for all the latest technologies. This paper presents an accelerometer based hand written digit and hand gesture recognition applications. The recognition process is done by using a tri-axial accelerometer and microcontroller with inbuilt ADC interface. The wireless transmission module is used for sensing and collecting acceleration of hand written and hand gesture trajectories. User can hold the device to write alpha numeric in air without space limitations. The system uses processor to store the characters and it is interfaced to the computer for recognizing the data with any of Integrated Development Interface (IDE) as Visual Basic.
Keywords: Accelerometer, Hand gesture, Hand written digit, Micro controller, Visual basic studio.
I. INTRODUCTION
In modern technologies, the gesture recognition plays important role to understand the instruction given by the human for HCI applications. A primary goal of gesture recognition research is to create a system which can identify specific human gestures and use them to convey information or for device control. Many technologies have been developed to ensure the gesture recognition for hand based applications.
The gesture recognition is useful for more applications like sign language detection, sports and games applications, controlling the operation of T.V like smart TV applications. The ability to track a person’s movements and determine what gestures they may be performing can be recognized by using various tools. There is a large amount of research which have been done based on the use of image/video gesture recognition depend on the environment.
The input devices used for gesture recogniti...
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...alysis", Proc.
3rd Int. Conf. Signal Process. Commun. Syst., pp.1 -5 2009
[4] Jong gwan lim, young il sohn, dong soo kwon, “Real-time accelerometer signa Processing of end point
detection and Feature extraction for motion Detection”.
[5 A. Just and S. Marcel, “A comparative study of two state-of-the-art Sequence processing techniques for
hand gesture recognition,” Comput. Vis. Image Understand., vol. 113, no. 4, pp. 532–543, Apr. 2009.
[6] K. Tanaka, “Gesture recognition with a focus on important actions by using a path searching method in
weighted graph,” Int. J. Comput. Sci., vol. 6, no. 2, pp. 14–19, 2009.
[7] V.Jagadeesh, P.Padamaja, C.Archana “Human Physical Activity Measuring System” in International
Journal of Engineering Trends and Technology- Volume3Issue3- 2012