Facial Emotion Detection using Deep Learning for Psychometric Assessment in a Cloud Environment

-, Sanal Sudhakaran (2023) Facial Emotion Detection using Deep Learning for Psychometric Assessment in a Cloud Environment. Masters thesis, Dublin, National College of Ireland.

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Abstract

One of the most effective ways to convey feeling is through one’s face. People’s facial expressions can convey a wide range of feelings, from joy to sorrow to anger to surprise to disgust. The facial emotion recognition system are adopted by many industries such as narcotics, esports, hospitals and more. Individuals’ mental, emotional, and behavioral faculties can be evaluated via psychometric assessments, which are widely adopted by businesses because of Covid-19 pandemic. Personality, skills, and passions can all be assessed with their help. Problem-solving, memorization, verbal comprehension, focus, and reaction time are some of the abilities typically measured by these tests. An individual’s strengths, weaknesses, and development opportunities can all be revealed with their help. Personality, skills, and passions can all be assessed with their help. Problem-solving, memorization, verbal comprehension, focus, and reaction time are some of the abilities typically measured by these tests. An individual’s strengths, weaknesses, and development opportunities can all be revealed with their help. In this study a facial emotion recognition system is developed using CNN architecture for psychometric assessments. The models that are used for evaluation are two Custom CNN based models consisting of 3 and 5 layers which will be implemented for Psychometric assessments.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Mijumbi, Rashid UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing B Philosophy. Psychology. Religion > Psychology > Emotions Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Tamara Malone
Date Deposited:	19 Apr 2023 14:04
Last Modified:	19 Apr 2023 14:04
URI:	https://norma.ncirl.ie/id/eprint/6489

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