Facial expressions emotional recognition with NAO robot

Mohamed, Ahmed Mahmoud (2018) Facial expressions emotional recognition with NAO robot. Masters thesis, Universiti Tun Hussein Onn Malaysia.

[img]
Preview
Text
24p AHMED MAHMOUD MOHAMED.pdf

Download (1MB) | Preview
[img] Text (Copyright Declaration)
AHMED MAHMOUD MOHAMED COPYRIGHT DECLARATION.pdf
Restricted to Repository staff only

Download (356kB) | Request a copy
[img] Text (Full Text)
AHMED MAHMOUD MOHAMED WATERMARK.pdf
Restricted to Registered users only

Download (13MB) | Request a copy

Abstract

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.

Item Type: Thesis (Masters)
Subjects: Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering
Depositing User: Miss Afiqah Faiqah Mohd Hafiz
Date Deposited: 25 Jul 2021 02:39
Last Modified: 25 Jul 2021 02:39
URI: http://eprints.uthm.edu.my/id/eprint/409

Actions (login required)

View Item View Item