Please use this identifier to cite or link to this item:
Title: FPGA implementation of emotion recognition
Authors: Chin, Wei Jie
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2015
Abstract: Many children with autism are faced with the difficulty in understanding how people feel. This impairs communication between them and others resulting in drawback from communication. Therefore, a portable device that can detect facial emotion was suggested to help the autistic children. This project aims to create an emotion detector using FPGA. The emotion detector will display the emotion of the person based on the image given. Sobel filter and skin detection were used to crop the image of the mouth before calculating the angle to determine the emotion. The 2 most important factors that are needed for the angle calculation are the edges of the mouth and the middle top of the mouth. Although the program is only able to detect happy and sad emotions, up to 85% of precision was achieved for the mouth detection by the program.
Schools: School of Computer Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Implementing Emotion Recognition on FPGA.pdf
  Restricted Access
1.33 MBAdobe PDFView/Open

Page view(s)

Updated on Sep 30, 2023

Download(s) 50

Updated on Sep 30, 2023

Google ScholarTM


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