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Facial Expression Recognition System on SoC FPGA

Vinh P.T. Ho Chi Minh City University of Technology, VNU-HCM, Faculty of Electrical and Electronics Engineering, Ho Chi Minh city, Viet Nam|
Quang Vinh T. |

Proceedings - 2019 International Symposium on Electrical and Electronics Engineering, ISEE 2019 Số , năm 2019 (Tập , trang 43-46)

DOI: 10.1109/ISEE2.2019.8921140

Tài liệu thuộc danh mục: Scopus

Conference Paper

English

Từ khóa: Convolution; Face recognition; Field programmable gate arrays (FPGA); Multilayer neural networks; Programmable logic controllers; Basic emotions; Convolutional neural network; Emotions recognition; Facial expression recognition; FPGA devices; Hardware system; Operating frequency; Processing engine; System-on-chip
Tóm tắt tiếng anh
In this paper, we present a facial expression recognition (FER) system implemented on a SoC FPGA device. Our system can operate independently and automatically classify 7 different types of basic emotions. We designed a processing engine on FPGA that is able to calculate convolutional layers of convolutional neural networks and designed a CNN optimal with a designed hardware for the task of emotions recognition and achieving 66% of accuracy in FER2013 dataset. The whole hardware system is designed on SoC FPGA which can process up to 15 image frames per second at an operating frequency of 130 MHz. � 2019 IEEE.

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