Thesis Abstract and Dissertation Abstracts
Human Emotion Sense Recognition System
Abstract Category: I.T.
Course / Degree: MTECH COMPUTER SCIENCE AND ENGINEERING
Institution / University: Guru Nanak Dev University, India
Published in: 2011
This paper discusses the application of feature extraction of facial expressions with combination of neural network
for the recognition of different facial emotions (happy, sad, angry, fear,surprised, neutral etc..).
We know that emotions plays an major role in a Human life. At different kind of moments or time Human face reflects that how he/she feel or in which mood he/she is. Humans are capable of producing thousands of facial actions during communication that vary in complexity, intensity, and meaning. This paper analyse the limitations with existing system Emotion recognition using brain activity.
In this paper by using a existing simulator i have achieved 97 percent accurate results and it is easy than Emotion recognition using brain activity system.
My purposed system depends upon human face as we know face also reflects the human brain activities or emotions. In this paper I have also tried to use Neural network for better results by developing a appropriate simulator name as sangtunangal.org. In the end of paper i have also given the comparisons of existing Human Emotion Recognition System with my purposed system.
Dissertation Keywords/Search Tags:
FACIAL EXPRESSIONS,SANGTUNAGAL.ORG,EEG,BRAIN ACTIVITY
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Submission Details: Dissertation Abstract submitted by dilbag singh from India on 08-Oct-2011 16:41.
Abstract has been viewed 3305 times (since 7 Mar 2010).
dilbag singh Contact Details: Email: dggill2@gmail.com Phone: 9478083454
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