9783659940712 - Emotion Detection Using Facial Image Based on Geometric Attributes: Building a system to identify human feelings, depending on facial expressions de Mohammed, Suhai... (8 résultats)

Etat : New.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 180 pp. Englisch.

Etat : New. Print on Demand.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohammed Suhaila N.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. Curr.

Etat : New. PRINT ON DEMAND.

Taschenbuch. Etat : Neu. Emotion Detection Using Facial Image Based on Geometric Attributes | Building a system to identify human feelings, depending on facial expressions | Suhaila N. Mohammed (u. a.) | Taschenbuch | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659940712 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.