Abstract
In this paper, an interface using eye and mouse for the handicapped people is proposed. The eye regions are localized using neural network (NN)-based texture classifier that discriminates the facial region into eye class and non-eye class, and then are tracked using mean-shift procedure. The mouse region is detected based on edge information and then tracked using template matching. To assess the validity of the proposed system, it was applied to the interface system and was tested on a group of 25 users. The results show that our system has the accuracy of 99%.
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Kim, E.Y., Park, S.H., Shin, BJ. (2006). Computer Interface to Use Eye and Mouse Movement. In: Cham, TJ., Cai, J., Dorai, C., Rajan, D., Chua, TS., Chia, LT. (eds) Advances in Multimedia Modeling. MMM 2007. Lecture Notes in Computer Science, vol 4352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69429-8_48
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DOI: https://doi.org/10.1007/978-3-540-69429-8_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69428-1
Online ISBN: 978-3-540-69429-8
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