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Vision-based hand gesture recognition of alphabets, numbers, arithmetic operators and ASCII characters in order to develop a virtual text-entry interface system Hand gesture recognition can substitute the use of text-entry interface for human computer interaction.
However, it is a challenging task to develop a virtual text-entry interface covering a large number of gesture-based characters. In this paper, 18 new ASCII printable characters have been introduced along with some of the previously introduced characters [A—Z alphabets, 0—9 numbers and four arithmetic operators add, minus, multiply, divide ].
In addition to some of the efficient existing featuresthree new features of 15 dimensions have been incorporated to enhance the performance of the system, which are normalized distance between direction extreme, close figure test and direction change ratio. These features are measured for single-stroke as well as multistroke gestures.
An experimental analysis has been carried out for selection of optimal features using the statistical analysis techniques such as one-way analysis of variance test, Kruskal—Wallis test, Friedman test in combination with incremental feature selection technique.
Furthermore, a comparative study has been carried out for classification of 58 gestures with the new list of features.
It has been observed that maximum accuracy achieved using the combination of existing and proposed features is Gesture in Brazil The meaning of gestures: body language in Brazil [pic] When living in Brazil there's not only the issue of learning the language of Portuguese, there's also the issue of learning the body language Brazil body language Let’s cover Brazil now as our next country and explore their gestures and body language a bit.
A Low Power, Fully Event-Based Gesture Recognition System Arnon Amir, Brian Taba, David Berg, Timothy Melano, Jeffrey McKinstry, Carmelo Di Nolfo, ning sign-language recognition, virtual manipulation, daily Work on low-power gesture recognition .
The applications of gesture recognition are manifold, ranging from sign language through medical rehabilitation to virtual reality. In this paper, we provide a survey on gesture recognition with particular emphasis on hand gestures and facial expressions. Sign language recognition: Just as speech recognition can transcribe speech to text, certain types of gesture recognition software can transcribe the symbols represented through sign language into text.
Gesture Recognition recognize meaningful expression of motion by a human body, involving the hands, arms, face, head or body. Gesture Recognition is important in designing efficient human computer interface.
Its provides a bitter bridge between machine and human than primitives tent user interface or event GUI(graphical user . 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 .