Camera Mouse -An Application for Disable Person
DOI:
https://doi.org/10.26438/ijcse/v6i3.133137Keywords:
Face recognition, Image processing, template matching, EmguCV, Haar CascadeAbstract
In this paper, we present a face recognition based human-computer interaction (HCI) system using a single video camera for Disable person to control mouse position, Different from the conventional communication methods between users and machines. We combine head pose, to control the position of mouse. We can identify the position of the eyes and mouth, and use the facial centre to estimate the pose of the head. We have used to two know algorithms; The First one is based on the computation of a set of geometrical features such as nose width and length, mouth position, chin shape & the second one is based on almost-grey-level template matching using Haar Classifier algorithms available in EmguCV open Source .NET wrapper in C# Technology.
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