Facial expressions emotional recognition with NAO robot
Human-robot interaction research is diverse and covers a wide range of topics. All aspects of human factors and robotics are within the purview of HRI research so far as they provide insight into how to improve our understanding in developing effective tools, protocols, and systems to enhance HRI. F...
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2018
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my-uthm-ep.4092021-07-25T02:39:47Z Facial expressions emotional recognition with NAO robot 2018-07 Mohamed, Ahmed Mahmoud Q300-390 Cybernetics Human-robot interaction research is diverse and covers a wide range of topics. All aspects of human factors and robotics are within the purview of HRI research so far as they provide insight into how to improve our understanding in developing effective tools, protocols, and systems to enhance HRI. For example, a significant research effort is being devoted to designing human-robot interface that makes it easier for the people to interact with robots. HRI is an extremely active research field where new and important work is being published at a fast pace. It is crucial for humanoid robots to understand the emotions of people for efficient human robot interaction. Initially, the robot detects human face by Viola- Jones technique. Later, facial distance measurements are accumulated by geometric based facial distance measurement method. Then facial action coding system is used to detect movements of measured facial points. Finally, measured facial movements are evaluated to get instant emotional properties of human face in this research; it has been specifically applied to NAO humanoid robot. 2018-07 Thesis http://eprints.uthm.edu.my/409/ http://eprints.uthm.edu.my/409/1/24p%20AHMED%20MAHMOUD%20MOHAMED.pdf text en public http://eprints.uthm.edu.my/409/2/AHMED%20MAHMOUD%20MOHAMED%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/409/3/AHMED%20MAHMOUD%20MOHAMED%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering |
| institution |
Universiti Tun Hussein Onn Malaysia |
| collection |
UTHM Institutional Repository |
| language |
English English English |
| topic |
Q300-390 Cybernetics |
| spellingShingle |
Q300-390 Cybernetics Mohamed, Ahmed Mahmoud Facial expressions emotional recognition with NAO robot |
| description |
Human-robot interaction research is diverse and covers a wide range of topics. All aspects of human factors and robotics are within the purview of HRI research so far as they provide insight into how to improve our understanding in developing effective tools, protocols, and systems to enhance HRI. For example, a significant research effort is being devoted to designing human-robot interface that makes it easier for the people to interact with robots. HRI is an extremely active research field where new and important work is being published at a fast pace.
It is crucial for humanoid robots to understand the emotions of people for efficient human robot interaction. Initially, the robot detects human face by Viola- Jones technique. Later, facial distance measurements are accumulated by geometric based facial distance measurement method. Then facial action coding system is used to detect movements of measured facial points. Finally, measured facial movements are evaluated to get instant emotional properties of human face in this research; it has been specifically applied to NAO humanoid robot. |
| format |
Thesis |
| qualification_name |
Master of Philosophy (M.Phil.) |
| qualification_level |
Master's degree |
| author |
Mohamed, Ahmed Mahmoud |
| author_facet |
Mohamed, Ahmed Mahmoud |
| author_sort |
Mohamed, Ahmed Mahmoud |
| title |
Facial expressions emotional recognition with NAO robot |
| title_short |
Facial expressions emotional recognition with NAO robot |
| title_full |
Facial expressions emotional recognition with NAO robot |
| title_fullStr |
Facial expressions emotional recognition with NAO robot |
| title_full_unstemmed |
Facial expressions emotional recognition with NAO robot |
| title_sort |
facial expressions emotional recognition with nao robot |
| granting_institution |
Universiti Tun Hussein Onn Malaysia |
| granting_department |
Faculty of Electrical and Electronic Engineering |
| publishDate |
2018 |
| url |
http://eprints.uthm.edu.my/409/1/24p%20AHMED%20MAHMOUD%20MOHAMED.pdf http://eprints.uthm.edu.my/409/2/AHMED%20MAHMOUD%20MOHAMED%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/409/3/AHMED%20MAHMOUD%20MOHAMED%20WATERMARK.pdf |
| _version_ |
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