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http://bura.brunel.ac.uk/handle/2438/15727
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. |
URI: | http://bura.brunel.ac.uk/handle/2438/15727 |
DOI: | http://dx.doi.org/10.3390/technologies6010017 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Fulltext.pdf | 1.72 MB | Adobe PDF | View/Open |
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