Abstract
Vision-based systems become more and more popular due to increasing computation speed of the computer and quality of cheap webcams available for home users. Such systems can be implemented as human-computer interfaces supporting people with alternative, hands free communication with computers. The paper presents a vision-based face gesture recognition system that can be used as face features analysis module or a human-computer interface. It enables analysis of the following face features: eyes, eyebrows, mouth, tongue and face speed. The overall accuracy of the system is equal to 98%.
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© 2011 Springer-Verlag Berlin Heidelberg
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Rondio, J., Królak, A. (2011). Analysis of Face Gestures for Human-Computer Interaction. In: Corchado, E., Kurzyński, M., Woźniak, M. (eds) Hybrid Artificial Intelligent Systems. HAIS 2011. Lecture Notes in Computer Science(), vol 6678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21219-2_39
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DOI: https://doi.org/10.1007/978-3-642-21219-2_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21218-5
Online ISBN: 978-3-642-21219-2
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