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• W2133373265 abstract "The research of human-computer interfaces has become a growing field in computer science, which aims to attain the development of more natural, intuitive, unobtrusive and efficient interfaces. The present work describes a Human Machine Interface Based on Eye Wink Detection for helping the severely handicapped people to manipulate the household devices and to perform day to day activities. Algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the eye state based on skin colour segmentation. Binary values 1 and 0 is assigned based on the opening and closing of eye. Finally applying the dynamic programming to translate the code sequences to a certain valid command. Experiment conducted for different test video displayed significant results which is carried out with different set of inputs. DOI: http://dx.doi.org/10.11591/ij-ict.v2i2.3927" @default.
• W2133373265 created "2016-06-24" @default.
• W2133373265 creator A5041257047 @default.
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• W2133373265 date "2013-07-21" @default.
• W2133373265 modified "2023-09-23" @default.
• W2133373265 title "Human Machine Interface Based on Eye Wink Detection" @default.
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• W2133373265 doi "https://doi.org/10.11591/ij-ict.v2i2.3927" @default.
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