HIGHLIGHTS
- who: . and colleagues from the Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea have published the research: A Resource Efficient Integer-Arithmetic-Only FPGA-based CNN Accelerator for Real-Time Facial Emotion Recognition, in the Journal: (JOURNAL)
- what: In the study of facial emotion recognition, the CNN-based method showed higher performance than the conventional method, but many convolution layers were used when constructing the network. The authors propose an FPGA-based CNN accelerator for real-time facial emotion recognition. In this paper, a new training dataset is presented that was created . . .
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