Paper Title :Various Approaches For Human Emotion Recognition: A Study
Author :R.Anish Menon, Anurag De, B.Priyanka Reddy, B.Sukanya
Article Citation :R.Anish Menon ,Anurag De ,B.Priyanka Reddy ,B.Sukanya ,
(2016 ) " Various Approaches For Human Emotion Recognition: A Study " ,
International Journal of Soft Computing And Artificial Intelligence (IJSCAI) ,
pp. 43-46,
Volume-4,Issue-1
Abstract : This paper discusses the applications of emerging technology used in developing software that can effectively
establish the correlation between various forms of communication- both verbal and non-verbal, with a defined set of emotions
as knowledge base by carrying out a comprehensive study/review of existing technologies and comparing them with each
other. Emotion Recognition(ER) in general is primarily concerned with Human Computer Interaction (HCI) and Machine
Learning at the core and uses Image Processing Techniques to map emotions with Psycho-Physiological patterns. This paper
presents a cumulative understanding of few methodologies existing in classifying emotions using the following - Eigen
Values, Bayesian Networks, Candide-3 Reconstruction Model, Neural Networks and Real-time Multi-Modal method of
classification. Each method is described clearly and the trade-offs are weighed in to differentiate the techniques based on their
approach.
Index Terms— About four key words or phrases in alphabetical order, separated by commas.
Type : Research paper
Published : Volume-4,Issue-1
DOIONLINE NO - IJSCAI-IRAJ-DOIONLINE-4622
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Copyright: © Institute of Research and Journals
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Published on 2016-06-09 |
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