Vision based Traffic Police Hand Signal Recognition in Surveillance Video- A Survey R.Sathya <s> Robotics <s> A gesture recognition method for Japanese sign language is presented. We have developed a posture recognition system using neural networks which could recognize a finger alphabet of 42 symbols. We then developed a gesture recognition system where each gesture specifies a word. Gesture recognition is more difficult than posture recognition because it has to handle dynamic processes. To deal with dynamic processes we use a recurrent neural network. Here, we describe a gesture recognition method which can recognize continuous gesture. We then discuss the results of our research. <s> BIB001 </s> Vision based Traffic Police Hand Signal Recognition in Surveillance Video- A Survey R.Sathya <s> Robotics <s> Human Computer Interaction can acquire several advantages with the introduction of different natural forms of device free communication. Gestures are a natural form of actions which we often use in our daily life for interaction, therefore to use it as a communication medium with computers generates a new paradigm of interaction with computers. This paper implements computer vision and gesture recognition techniques and develops a vision based low cost input device for controlling the VLC player through gestures. VLC application consists of a central computational module which uses the Principal Component Analysis for gesture images and finds the feature vectors of the gesture and save it into a XML file. The Recognition of the gesture is done by K Nearest Neighbour algorithm. The theoretical analysis of the approach shows how to do recognition in static background. The Training Images are made by cropping the hand gesture from static background by detecting the hand motion using Lucas Kanade Pyramidical Optical Flow algorithm. This hand gesture recognition technique will not only replace the use of mouse to control the VLC player but also provide different gesture vocabulary which will be useful in controlling the application. <s> BIB002
Gestures are used for controlling robots, corresponding to virtual reality interaction system. For virtual reality application gestures are considered as one of the effective spreading stages in computing area BIB001 . Gesture-to-speech application allow hearingimpaired people to communicate with their surrounding environments through computers. It converts hand gestures into speech.  introduced hand gestures to speech using neural networks for data glove device. Computer vision and hand gesture recognition techniques developed to control the VLC media player. BIB002 developed a vision based low cost input device for controlling the VLC player through human hand gestures using recognition techniques. Human hand postures and hand gestures controlling television is seen in  .