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Issue title: Special issue: Surveys in Artificial Intelligence-based Technologies
Article type: Research Article
Authors: Chowdary, M. Kalpana | Hemanth, D. Jude*
Affiliations: Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India
Correspondence: [*] Corresponding author: D. Jude Hemanth, Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India. E-mail: judehemanth@karunya.edu.
Abstract: Emotions are the natural and easiest way of communication between human beings and also plays a prominent role in day to day life. In current scenario, emotion recognition is the latest challenge in Human Computer Interaction (HCI) and affective computing. An extensive research has been addressed over the past two decades but accuracy and real time analysis are still some challenges in this field. Emotion recognition is useful in various fields such as intelligent automobile systems, medical diagnosis, security, e-tutoring and marketing. This survey paper will review the research works carried out in the fields of human emotion detection from facial images, speech and brain signals. This paper also provides an outline of the areas where emotion recognition is more required.
Keywords: Emotions, computer vision, e-tutoring, feature extraction, pitch, speech recognition
DOI: 10.3233/IDT-190101
Journal: Intelligent Decision Technologies, vol. 13, no. 4, pp. 417-433, 2019
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