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Emotions are considered to be the reflection of human thinking and decision-making process which increase his/her performance by producing an intelligent outcome. Hence it is a challenging task to embed the emotional intelligence in machine as well so that it could respond appropriately. However, present human computer interfaces still don’t fully utilize emotion feedback to create a more natural environment because the performance of the emotion recognition is still not very robust and reliable and far from real life experience. In this paper, we present an attempt in addressing this aspect and identifying the major challenges in the process. We introduce the concept of ’emotion profile’ to evaluate an individual feature as each feature irrespective of the modality has different capability for differentiating among the various subsets of emotions. To capture the discrimination across target emotions w.r.t. each feature we propose a framework for emotion recognition built around if-then rules using certainty factors to represent uncertainty and unreliability of individual features.
Dr. Preeti Khanna, Dr. Sasi M Kumar. 2014. "Emotion Profiling: Ingredient for Rule based Emotion Recognition Engine". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F3).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 152
Country: India
Subject: Global Journal of Computer Science and Technology
Authors: Dr. Preeti Khanna, Dr. Sasi M Kumar (PhD/Dr. count: 2)
View Count (all-time): 405
Total Views (Real + Logic): 2028
Total Downloads (simulated): 139
Publish Date: 2014 01, Wed
Monthly Totals (Real + Logic):
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