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- W2046815297 abstract "Emotions play an important role in human communications. A new emotional dimension could be added to human-computer interfaces to make communication more intuitive. Generally, emotions could be recognized from text, voice, facial expression, gesture and/or from biosignals (pulse, EEG, temperature, etc.). EEG is electroencephalogram signals of the human brain and could reveal the inner real human emotions. EEG-based emotion recognition is relatively new area, and most of the works in this area focus on off-line emotion recognition. Recently, wireless and portable devices came to the market that made possible to add EEG-based interaction to human-computer interfaces and develop the real-time applications. We present a novel work on real-time EEG-based emotion recognition and emotion-enabled applications for entertainment such as emotional avatars, emotion-enabled animation, and emotion-enabled personalized web-based player." @default.
- W2046815297 created "2016-06-24" @default.
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- W2046815297 date "2011-12-12" @default.
- W2046815297 modified "2023-10-16" @default.
- W2046815297 title "Emotion-enabled EEG-based interaction" @default.
- W2046815297 cites W1980122010 @default.
- W2046815297 doi "https://doi.org/10.1145/2073304.2073315" @default.
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