Visual Affect Recognition
It is generally known that human faces, as well as body motions and gestures, provide a wealth of information about a person, such as age, race, sex and emotional state. This monograph primarily studies the perception of facial expression of emotion, and secondarily of motion and gestures, with the...
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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IOS Press
2013
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35746 |
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oai:scholar.dlu.edu.vn:DLU123456789-357462014-01-19T23:34:11Z Visual Affect Recognition Stathopoulou, Ioanna-Ourania Tsihrintzis, George A. It is generally known that human faces, as well as body motions and gestures, provide a wealth of information about a person, such as age, race, sex and emotional state. This monograph primarily studies the perception of facial expression of emotion, and secondarily of motion and gestures, with the purpose of developing a fully automated visual affect recognition system for use in modes of human/computer interaction. The book begins with a survey of the literature on emotion perception, followed by a description of empirical studies conducted with human participants and the construction of a ‘face image database’. On the basis of this work, a visual affect recognition system was developed, consisting of two modules: a face detection subsystem and a facial expression recognition subsystem. Details of this system are demonstrated and analyzed, and extensive performance evaluations and test results are provided. Finally, current research avenues leading to visual affect recognition via analysis of body motion and gestures are also discussed. 2013-10-09T01:43:08Z 2013-10-09T01:43:08Z 2010 Book 978-1-60750-597-6 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35746 en application/pdf IOS Press |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| description |
It is generally known that human faces, as well as body motions and gestures, provide a wealth of information about a person, such as age, race, sex and emotional state. This monograph primarily studies the perception of facial expression of emotion, and secondarily of motion and gestures, with the purpose of developing a fully automated visual affect recognition system for use in modes of human/computer interaction. The book begins with a survey of the literature on emotion perception, followed by a description of empirical studies conducted with human participants and the construction of a ‘face image database’. On the basis of this work, a visual affect recognition system was developed, consisting of two modules: a face detection subsystem and a facial expression recognition subsystem. Details of this system are demonstrated and analyzed, and extensive performance evaluations and test results are provided. Finally, current research avenues leading to visual affect recognition via analysis of body motion and gestures are also discussed. |
| format |
Book |
| author |
Stathopoulou, Ioanna-Ourania Tsihrintzis, George A. |
| spellingShingle |
Stathopoulou, Ioanna-Ourania Tsihrintzis, George A. Visual Affect Recognition |
| author_facet |
Stathopoulou, Ioanna-Ourania Tsihrintzis, George A. |
| author_sort |
Stathopoulou, Ioanna-Ourania |
| title |
Visual Affect Recognition |
| title_short |
Visual Affect Recognition |
| title_full |
Visual Affect Recognition |
| title_fullStr |
Visual Affect Recognition |
| title_full_unstemmed |
Visual Affect Recognition |
| title_sort |
visual affect recognition |
| publisher |
IOS Press |
| publishDate |
2013 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35746 |
| _version_ |
1819794438090653696 |