Please use this identifier to cite or link to this item:
Title: Identifying different facial expressions from Kinect
Authors: Zhang, Liquan
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2015
Abstract: This project aims to differentiate human emotions by analyzing their facial expressions. In this project, subjects will be invited to take part in an experiment where their facial expressions will be captured while watching various types of movies. These movies aim to evoke different responses from the participants. Their facial expressions will be recorded by Kinect camera. Next, features will be extracted from the recorded videos and classified via machine learning algorithms. After learning the classifier, the author will identify different types of videos by distinguishing the facial expressions in them.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
Main article1.55 MBAdobe PDFView/Open

Page view(s) 50

checked on Oct 26, 2020

Download(s) 50

checked on Oct 26, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.