Universiti Tun Hussein Onn Malaysia
Facial expressions emotional recognition with NAO robot
Abstract
dc:description.abstractHuman-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.
Degree
thesis:*- Name dc:type.qualificationname
- mphil
- Level dc:type.qualificationlevel
- masters
- Grantor dc:publisher.institution
- Universiti Tun Hussein Onn Malaysia
- Year dc:date.issued
- 2018
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Mohamed, Ahmed Mahmoud
Subjects
dc:subject × 1Rights
- Language dc:language
- en