{"_buckets": {"deposit": "716615a5-b5d4-4f07-96f5-b19de43d81d7"}, "_deposit": {"id": "4471", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4471"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4471", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Facial Expression Recognition System based on Geometric Feature", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The facial expression recognition system hasbeen a significant field in human-computerinteraction. It is a considerably challenging fieldto generate an intelligent computer that is able toidentify and understand human emotions forvarious vital purposes. This paper focuses onfacial expression to identify five universal humanexpressions: neutral, happy, anger, sad andsurprise. The proposed system uses a techniqueof image processing consisting of 3 majorprocesses: 1) pre-processing of images, 2)geometric feature extraction of eyes and mouthfrom images, used for a calculation of Euclideandistances between each feature; and 3) faceexpression recognition using principalcomponent analysis method. Especially, themovement of the mouth is investigated forexpression recognition in this paper. Theeffectiveness of the proposed system can beconfirmed through the experimental results."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Expression Recognition"}, {"interim": "Movement of the mouth"}, {"interim": "Geometric facial feature"}, {"interim": "component analysis"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-11-13"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "10043.pdf", "filesize": [{"value": "525 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 525000.0, "url": {"url": "https://meral.edu.mm/record/4471/files/10043.pdf"}, "version_id": "b02804e7-4df2-412f-a6e5-768b2b7a5a55"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Tenth International Conference On Computer Applications (ICCA 2012)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Aung, Darli Myint"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2012-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2400"}, "item_title": "Facial Expression Recognition System based on Geometric Feature", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004471", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-11-13"}, "publish_date": "2019-11-13", "publish_status": "0", "recid": "4471", "relation": {}, "relation_version_is_last": true, "title": ["Facial Expression Recognition System based on Geometric Feature"], "weko_shared_id": -1}