This is done using the camera module or web camera on top of the computer. The player starts running again as soon as the user looks at it. Look Based Media Player with Hand Gesture Recognition, is a media player which pauses itself when the user is not looking at it. Later you need to drag back the video from where you saw it. When you are watching a video and someone calls you to have to look somewhere else or go away from PC for some time, so you miss some part of the video. Using this as an indicator for user attention we also found evidence that gesture control can indeed exist in the periphery of attention. We analysed gaze direction when gesturing based on the video recordings. Taken together, this suggests that gesture control is socially acceptable for all users. We found no reservations from either male, female, mature or young users about gesture interaction, and no distinction between groups with respect to social acceptability. We video recorded the interaction and interviewed participants separately about their experiences. ![]() The host used gestures to control the music system responding to cues while the guest engaged them in a distractor task. Next, we used a Wizard-of-Oz design to investigate social acceptability by inviting user dyads (N = 24 participants) to a living room setting where they were assigned the roles of host or guest. We first identified six gestures for player control to use in the social acceptability study. We also focus on the extent to which gesture control can be regarded as peripheral interaction. We investigate the effects of social context on the acceptability of 3D (touchless) gestures used to control a music system. 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. 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. The theoretical analysis of the approach shows how to do recognition in static background. The Recognition of the gesture is done by K Nearest Neighbour algorithm. ![]() 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. 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. 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. Human Computer Interaction can acquire several advantages with the introduction of different natural forms of device free communication.
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