A Method for the Analysis of Facial Expressions using Machine Learning Algorithms
Sruthi Anand1, Granty Regina Elwin J2, Ranjeetha Priya K3, Ayisha Farhin H4
1Ms.Sruthi Anand, Assisstant Professor, Department of Information Technology, SKCET, Coimbatore, Tamil Nadu, India.
2Dr. Granty Regina Elwin J, Associate Professor, Department of Information Technology, SKCET, Coimbatore, Tamil Nadu, India.
3Ms.Ranjeetha Priya K, Assisstant Professor, Department of Information Technology, SKCET, Coimbatore, Tamil Nadu, India.
4Ms.Ayisha Farhin H, Department of Information Technology, SKCET, Coimbatore, Tamil Nadu, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 6825-6829 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5270118419/2019©BEIESP | DOI: 10.35940/ijrte.D5270.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The interaction between human and machine systems have thrived a great importance in understanding the emotions and extracting them. Emotional analysis statement has a complication with large number of input features and varying human expressions, which needs classification of compact number of similar features using classification algorithm. Automatic facial recognition.may sometimes act as an element for natural human interface machines. Various techniques have been proposed to perform emotional analysis which shown a great progress in success in adopting the algorithms and methods. This paper provides a survey on the different algorithms and techniques emphasized for emotional analysis.
Keywords: Automatic Facial Recognition. May Sometimes Act as An Element for Natural Human Interface Machines.
Scope of the Article: Machine Learning.