Abstract
Gesture recognition is mainly apprehensive on analyzing the functionality of human wits. The primary goal of gesture recognition research is to create a system which can recognize specific human gestures and use them to convey information or for device control. The purpose of this paper is to interface machines directly to human wits without any corporeal media in an ambient environment. This work pertains to reckoning on tracking of nose tip. In the pragmatic phenomenon the nose tip is tracked and mouse positioning event is generated on how the nose tip moves on the real world domain. In effectuation phase a single camera based computational paradigm is used for tracking nose tip, and recognizing gestures. Reference point location tracking method is used to spot nose tip in successive frames.
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Gireeshkumar, T., Poornaselvan, K.J., Sattviksharma, Gulshankumar, Sreevathsan, R. (2012). Tracking of Nose Tip: An Alternative for Mouse. In: Kannan, R., Andres, F. (eds) Data Engineering and Management. ICDEM 2010. Lecture Notes in Computer Science, vol 6411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27872-3_32
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DOI: https://doi.org/10.1007/978-3-642-27872-3_32
Publisher Name: Springer, Berlin, Heidelberg
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