Improving coarticulation performance of 3D avatar and gaze estimation using RGB webcam

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2016

Author dc:creator

• Gu, Kuangxiao

Contributors dc:contributor

• Huang, Thomas S.

• 3D avatar
• Gaze estimation
• RGB camera

Statement dc:rights

• Copyright 2016 Kuangxiao Gu

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/93004

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/93004