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Paper Title: Real time human emotion recognition
Authors Name: Chiranth N L , Arpan surabhi , Bipin S L , Madhura G prasad , Somashekhar B M
Unique Id: IJRTI1805049
Published In: Volume 3 Issue 5, May-2018
Abstract: Today, due to various factors, particularly, as social media sharing increases, the instant emotional states of the people, in particular, students, change frequently. This situation is greatly affecting the learning process and mental states as well as the motivation of the people in large in the society. Sometimes, it is not optimized or possible for the monitor to observe the emotional states of a group of people at once. Therefore, an automatic system is needed that can detect and analyze the emotional states of students in the classroom. In this study, an auxiliary information system, which uses image processing and human-computer interaction, has been developed that would be used in the field of education, medicine and so on. In this system, the dataset obtained from the peoples’ faces was tested using appropriate machine. As a result, the accuracy of this system was found to be significantly accurate using Support Vector Machine. This system is aimed to direct the educator or the monitor to communicate with the students, patients or in general, a group of people in order to recognize their emotions and take appropriate actions if and when necessary.
Keywords: Viola Jones,LBPH,SVM
Cite Article: "Real time human emotion recognition ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 5, page no.266 - 274, May-2018, Available :http://www.ijrti.org/papers/IJRTI1805049.pdf
Downloads: 00051
Publication Details: Published Paper ID: IJRTI1805049
Registration ID:180173
Published In: Volume 3 Issue 5, May-2018
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ISSN Number: 2456 - 3315
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