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Human Computer Interaction is a most keenly followed and sought after research topic from the past few decades by the research community. Facial expressions play crucial role in understanding the Human satisfaction over a service received by a machine that can see and identify the satisfaction level in reply as a feedback. In this paper we have proposed a consolidated system by using an augmented approach. This approach performs optimized selection of facial features from facial expression database created by Principle Component Analysis. The system is trained with the feedback to classify the emotions into basic six levels by using Emotional Back Propagation Neural Network. The exciting or happy emotions are treated as satisfaction of User and all other classes are treated as dissatisfaction over the service. The service chosen in this system is on-line counseling and facial expression images processed through this proposed system yielded fruitful results close to the reality, in Human Computer Interaction.
Keywords:
Emotional Back Propagation Neural Network, PCA, Facial Expression, Human Computer Interaction, Emotion Analysis
Cite Article:
"Facial Expression Recognition based on-line Counselling", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 6, page no.45 - 50, June-2017, Available :http://www.ijrti.org/papers/IJRTI1706010.pdf
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000205207
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator