Please use this identifier to cite or link to this item:
Title: Facial Expression Emotion Detection for Real-time Embedded Systems
Authors: Meng, H
Swash, M
Pleva, M
Juhár, J
Keywords: FPGA;facial expression analysis;artificial intelligence;real-time implementation
Issue Date: 2017
Citation: Technologies, 2018, 6 (1), pp. 17 - 17
Abstract: Recently, real-time facial expression recognition has attracted more and more research. In this study, an automatic facial expression real-time system was built and tested. Firstly, the system and model were designed and tested on a MATLAB environment followed by a MATLAB Simulink environment that is capable of recognizing continuous facial expressions in real-time with a rate of 1 frame per second and that is implemented on a desktop PC. They have been evaluated in a public dataset, and the experimental results were promising. The dataset and labels used in this study were made from videos, which were recorded twice from five participants while watching a video. Secondly, in order to implement in real-time at a faster frame rate, the facial expression recognition system was built on the field-programmable gate array (FPGA). The camera sensor used in this work was a Digilent VmodCAM — stereo camera module. The model was built on the AtlysTM Spartan-6 FPGA development board. It can continuously perform emotional state recognition in real-time at a frame rate of 30. A graphical user interface was designed to display the participant’s video in real-time and two-dimensional predict labels of the emotion at the same time.
Appears in Collections:Dept of Clinical Sciences Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf1.72 MBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.