dc.contributor.advisor | Chakrabarty, Amitabha | |
dc.contributor.author | Murshed, Tahmin Aysha | |
dc.contributor.author | Dastider, Prantar | |
dc.date.accessioned | 2021-07-03T14:59:47Z | |
dc.date.available | 2021-07-03T14:59:47Z | |
dc.date.copyright | 2020 | |
dc.date.issued | 2020-04 | |
dc.identifier.other | ID 14301055 | |
dc.identifier.other | ID 14101052 | |
dc.identifier.uri | http://hdl.handle.net/10361/14727 | |
dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. | en_US |
dc.description | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 33-36). | |
dc.description.abstract | Facial expressions are reactions of internal emotions that express states of human minds. In busy life people are ignorant about the emotions of others. Sometimes it’s hard for a person to interact with another individual by understanding their mental condition. As a result, accidents, violent events, misunderstandings and even rates of divorce are raised across the world. But computers can be a source of relief in anger management, depression assessment or simply sharing joy. Using the projections of feelings from facial surface by mainly observing the unusual movements of nose, lips, eyes, cheeks etc. through a camera for detection of proper emotion to begin a communication between a human and a machine mainly to help the end user to get out of distress or to amplify inner positivity. Our study tends to use the methodologies of machine learning, data science, image processing and several other applied processes of these to perceive and analyze the responses of facial aspects to meet the expected outcome. Several studies have taken place considering this particular physical fatigue but none has expressed an approach to help people psychologically neither at work places or at places where they accommodate where our study is a step towards tomorrow for a more realistic interaction between machines and humans. | en_US |
dc.description.statementofresponsibility | Tahmin Aysha Murshed | |
dc.description.statementofresponsibility | Prantar Dastider | |
dc.format.extent | 36 pages | |
dc.language.iso | en | en_US |
dc.publisher | Brac University | en_US |
dc.rights | Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | Facial expression recognition | en_US |
dc.subject | Emotion detection | en_US |
dc.subject | CNN algorithm | en_US |
dc.subject | Machine learning | en_US |
dc.subject.lcsh | Optical pattern recognition | |
dc.subject.lcsh | Machine learning | |
dc.title | Study on human emotion based on facial expressions through human machine communication | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, Brac University | |
dc.description.degree | B. Computer Science | |