Static face detection and emotion recognition with FPGA support

Abstract: Throughout history, spoken language and face-to-face communication have been the primary mechanics of interaction between two or more people. While processing speech, it is often advantageous to determine the emotion of the speaker in order to better understand the context of the meaning. This paper looks at our current effort at creating a static based emotion detection system, using previously used techniques along with a custom FPGA neural network to speed up recognition rates.