期刊
TECHNOLOGIES
卷 6, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/technologies6010017
关键词
FPGA; facial expression analysis; artificial intelligence; real-time implementation
资金
- Brunei Research Initiative & Enterprise Fund
- Slovak Research and Development Agency [APVV-15-0731]
- NVIDIA Corporation
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 Atlys (TM) 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.
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