slugHuman Gesture Recognitions Using Levenberg Perceptron Neural Network

Abstract

Understanding human motions can be posed as a pattern recognition problem. In order to convey visual messages to a receiver, a human expresses motion patterns. Loosely called gestures, these patterns are variable but distinct and have an associated meaning. The Pattern recognition by any computer or machine can be implemented via various methods such as Hidden Harkov Models, Linear Programming and Neural Networks. Each method has its own advantages and disadvantages, which will be studied separately later on. This paper reviews why using ANNs in particular is better suited for analyzing human motions patterns

Authors and Affiliations

Ritu Lather, Reena Thakral

Keywords

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  • EP ID EP18120
  • DOI -
  • Views 337
  • Downloads 11

How To Cite

Ritu Lather, Reena Thakral (2014). slugHuman Gesture Recognitions Using Levenberg Perceptron Neural Network. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(5), -. https://europub.co.uk/articles/-A-18120