Emotion Detection Using Facial Image Based on Geometric Attributes: Building a system to identify human feelings, depending on facial expressions - Softcover

Mohammed, Suhaila N.; George, Loay E.

 
9783659940712: Emotion Detection Using Facial Image Based on Geometric Attributes: Building a system to identify human feelings, depending on facial expressions
Softcover
ISBN 10: 3659940712 ISBN 13: 9783659940712
Verlag: LAP LAMBERT Academic Publishing, 2016

Inhaltsangabe

Building a system for Human-Computer Interaction (HCI) that can interpret emotions in a similar manner for natural interaction between humans became an interesting and essential challenge. Auto emotion detection systems are demanded in various fields such as medicine, education, driver safety, games, etc. Despite the importance of this issue it still remains an unsolved problem. There are different ways to distinguish person emotions such as facial image, voice, shape of body and others. Mehrabian explained that person impression can be expressed through words (verbal part) by 7%, and 38% through tone of voice (vocal part) while the facial image can give the largest rate which reaches to 55%. Also, he indicates that one of the most important ways to display emotions is through facial expressions; where facial image contains much information (such as, person's identification and also about mood and state of mind which can be used to distinguish human inspiration). In this book, two systems have been proposed to recognize facial emotion for two different environments, where the ethnicity, skin color, head hair color and lightning condition are different.

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Über die Autorin bzw. den Autor

Suhaila Najim Mohammed was born in October 28, 1987 Baghdad, Iraq. She received her M.Sc. Computer Science 2016 Baghdad University, Baghdad, Iraq, B.Sc. Computer Science 2010 Baghdad University, Baghdad, Iraq. Currently she is an Assistant Lecturer in Image Processing at Baghdad University, Baghdad, Iraq.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
3659940712
ISBN 13 
9783659940712
Einband
Taschenbuch
Anzahl der Seiten
180
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
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