Sucheta Mandal - Academia.edu (original) (raw)
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Ahsanullah University of Science and Technology
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Emotion is a very complex psycho-physiological experience of an individual's state of mind as int... more Emotion is a very complex psycho-physiological experience of an individual's state of mind as interacting with biochemical (internal) and environmental (external) influences. Extracting and validating emotional cues through analysis of users" facial expressions is of high importance for improving the level of interaction in man machine communication systems. Extraction of appropriate facial features and consequent recognition of the user"s emotional state (happy, sad, neutral, and wonder) of different users can be made by this project robustly. The recognition system considered Eyes, Pupils, Lip Line, Lip Corner, Wrinkles to detect emotions correctly. This process is composed of four major steps like face detection, facial component extraction, emotion detection stages and mood enhancement methodologies. Face Detection is made using Local SMQT Features and Split Up SNoW Classifier. Eye features are extracted using "Integrodifferential operator". Lip center is detected by various five methods. Statistical is made over a high range of data to determine slight changes of parameter in different emotions of people. It is shown by experiment results that it can detect emotion very well.
Emotion is a very complex psycho-physiological experience of an individual's state of mind as int... more Emotion is a very complex psycho-physiological experience of an individual's state of mind as interacting with biochemical (internal) and environmental (external) influences. Extracting and validating emotional cues through analysis of users" facial expressions is of high importance for improving the level of interaction in man machine communication systems. Extraction of appropriate facial features and consequent recognition of the user"s emotional state (happy, sad, neutral, and wonder) of different users can be made by this project robustly. The recognition system considered Eyes, Pupils, Lip Line, Lip Corner, Wrinkles to detect emotions correctly. This process is composed of four major steps like face detection, facial component extraction, emotion detection stages and mood enhancement methodologies. Face Detection is made using Local SMQT Features and Split Up SNoW Classifier. Eye features are extracted using "Integrodifferential operator". Lip center is detected by various five methods. Statistical is made over a high range of data to determine slight changes of parameter in different emotions of people. It is shown by experiment results that it can detect emotion very well.