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Publications (2)0.82 Total impact

  • Butalia Ayesha, Shah Divya, Dharaskar R.V
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    ABSTRACT: Gestures are a major form of human communication. Hence gestures are found to be an appealing way to interact with computers, as they are already a natural part of how we communicate. A primary goal of gesture recognition is to create a system which can identify specific human gestures and use them to convey information for device control and by implementing real time gesture recognition a user can control a computer by doing a specific gesture in front of a video camera linked to the computer. 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. This project covers various issues like what are gesture, their classification, their role in implementing a gesture recognition system, system architecture concepts for implementing a gesture recognition system, major issues involved in implementing a simplified gesture recognition system, exploitation of gestures in experimental systems, importance of gesture recognition system, real time applications and future scope of gesture recognition system.The algorithm used in this project are Finger counting algorithm,X-Y axis(To recognize the thumb).
    International Journal of Computer Applications 02/2010; DOI:10.5120/124-240 · 0.82 Impact Factor
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    Butalia Ayesha, Shah Divya, Dharaskar R.V
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    ABSTRACT: The issues of Real World are Very large data sets, Mixed types of data (continuous valued, symbolic data), Uncertainty (noisy data), Incompleteness (missing, incomplete data), Data change, Use of background knowledge etc. Lot of knowledge related to the application can be generated through these large data sets. Rough set is the methodology which can be used to deduce rules from these data sets. The main goal of the rough set analysis is induction of approximations of concepts [4]. Rough sets constitute a sound basis for KDD. It offers mathematical tools to discover patterns hidden in data [4] and hence used in the field of data mining. Rough Sets does not require any preliminary information as Fuzzy sets require membership values or probability is required in statistics. Hence this is its specialty. Two novel algorithms to find optimal Reducts of condition attributes based on the relative attribute dependency, out of which the first algorithms gives simple Reduct whereas the second one gives the Reduct with minimum attributes, This project highlights on the case study of mushroom which consists of twenty two attributes depending on which the decision is taken whether the mushroom plant is edible or poisonous. The technique of Reduct is very useful as when tested, through the algorithms, the twenty one attributes, excluding the decision attribute gets reduced to two to three attributes.