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- W190060046 abstract "With the development of information and communications technology, the growth of E-learning is rapidly increased. Environment is one of the major factors for E-learning performance specially. More realistic E-leaning surrounding is affected to achievement of effective learning environment. Facial expressions are assumed to have a great impact on behavior and also on learning behavior. This attempts to transfer real user facial feature into virtual learning place. Real time facial feature detection system is developed and it is continually extracted facial expression of E-learner. The appropriate person in virtual learning environment who represents real user called ‘Avatar’ changes when the real user changes the face. In the virtual environment, the appropriate face changes are prepared to visible real user face data. In addition, any other persons able to visible user face data through web component to observe the face behavior of the E-learner." @default.
- W190060046 created "2016-06-24" @default.
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- W190060046 date "2012-01-01" @default.
- W190060046 modified "2023-09-27" @default.
- W190060046 title "Capturing Student Real Time Facial Expression for More Realistic E-learning Environment" @default.
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- W190060046 doi "https://doi.org/10.1007/978-3-642-29934-6_11" @default.
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