Author : Ashvini G.Bais 1
Date of Publication :7th February 2017
Abstract: Computing advances and increased smartphone use gives technology system designers greater flexibility in exploiting computer vision to support visually impaired users. Understanding these user’s needs will certainly provide insight for the development of improved usability of computing device. As new technologies and computer applications prove to be powerful tools for children’s with special needs in order to improve specific skills. However, there is still a gap between research development and its applicability in schools, based on their classroom education proposed framework with several activities. This project focus on HCI (Human Computer Interaction) and Face tracking method based on Kinect, Kinect has the advantage over ordinary camera because it has 2 sensor, an ordinary and depth sensor. In this project a method based on depth information is used for optimizing the face recognition combining with hand gesture which can switch automatically for students and teacher easy to operate the PPT screencast system and other teaching activities related to education domain.
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