{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/93004"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/93004","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Improving coarticulation performance of 3D avatar and gaze estimation using RGB webcam","abstract":"This thesis explores two applications of computer vision in psychology-related studies: enhanced patient portal messages using 3D avatar and gaze estimation using a single RGB camera. The first application aims to help patients, especially those with poor health and low medical literacy, to understand messages delivered by patient portal systems by enhancing the messages with a 3D avatar. The avatar is built from real human face images and can deliver both semantic and emotive information, the latter of which is expected to help the patients to get a better, gist-level understanding of the portal messages. The second application aims to estimate eye gaze direction with an RGB camera. Preliminary results show the potential of the proposed method, although rigorous quantitative evaluation still needs to be done. While the proposed method cannot achieve the resolution and accuracy of commercial eye trackers, it is able to greatly reduce the cost since only one RGB camera is required.","abstract_html":"This thesis explores two applications of computer vision in psychology-related studies: enhanced patient portal messages using 3D avatar and gaze estimation using a single RGB camera. The first application aims to help patients, especially those with poor health and low medical literacy, to understand messages delivered by patient portal systems by enhancing the messages with a 3D avatar. The avatar is built from real human face images and can deliver both semantic and emotive information, the latter of which is expected to help the patients to get a better, gist-level understanding of the portal messages. The second application aims to estimate eye gaze direction with an RGB camera. Preliminary results show the potential of the proposed method, although rigorous quantitative evaluation still needs to be done. While the proposed method cannot achieve the resolution and accuracy of commercial eye trackers, it is able to greatly reduce the cost since only one RGB camera is required.","abstract_has_math":false,"creators":["Gu, Kuangxiao"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Huang, Thomas S."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-11-10T18:39:06Z","date_published":"2016-11-10T18:39:06Z","updated_at":"2026-07-22T22:26:35Z","subjects":["3D avatar","Gaze estimation","RGB camera"],"languages":["en"],"rights":["Copyright 2016 Kuangxiao Gu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/93004","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Huang, Thomas S."]},{"key":"dc:creator","label":"Author","values":["Gu, Kuangxiao"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-11-10T18:39:06Z","2018-11-11T10:15:40Z","2016-06-16","2016-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["3D avatar","Gaze estimation","RGB camera"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Kuangxiao Gu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/93004"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This thesis explores two applications of computer vision in psychology-related studies: enhanced patient portal messages using 3D avatar and gaze estimation using a single RGB camera. 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While the proposed method cannot achieve the resolution and accuracy of commercial eye trackers, it is able to greatly reduce the cost since only one RGB camera is required.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-08-01","The student, Kuangxiao Gu, accepted the attached license on 2016-06-14 at 13:35.","The student, Kuangxiao Gu, submitted this Thesis for approval on 2016-06-14 at 13:49.","This Thesis was approved for publication on 2016-06-16 at 09:49.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9664 on 2016-11-10 at 12:24:28","Made available in DSpace on 2016-11-10T18:39:06Z (GMT). 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The first application aims to help patients, especially those with poor health and low medical literacy, to understand messages delivered by patient portal systems by enhancing the messages with a 3D avatar. The avatar is built from real human face images and can deliver both semantic and emotive information, the latter of which is expected to help the patients to get a better, gist-level understanding of the portal messages. The second application aims to estimate eye gaze direction with an RGB camera. Preliminary results show the potential of the proposed method, although rigorous quantitative evaluation still needs to be done. While the proposed method cannot achieve the resolution and accuracy of commercial eye trackers, it is able to greatly reduce the cost since only one RGB camera is required.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-08-01","The student, Kuangxiao Gu, accepted the attached license on 2016-06-14 at 13:35.","The student, Kuangxiao Gu, submitted this Thesis for approval on 2016-06-14 at 13:49.","This Thesis was approved for publication on 2016-06-16 at 09:49.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9664 on 2016-11-10 at 12:24:28","Made available in DSpace on 2016-11-10T18:39:06Z (GMT). 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