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Universiti Tun Hussein Onn Malaysia

Facial expressions emotional recognition with NAO robot

Abstract

dc:description.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.

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 × 1

Rights

Language dc:language
en

Chain of custody

source
Harvested from
Universiti Tun Hussein Onn Malaysia
Base URL
eprints.uthm.edu.my/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

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