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Recognition of facial expressions using associative memory

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3 Author(s)
Iwano, Y. ; Sch. of Sci. & Eng., Waseda Univ., Tokyo, Japan ; Yoneyama, M. ; Shirai, K.

We extract the movements of 8×10 regions of the face by using optical flow and simplify the information by considering whether a particular region of the face moved or not. By applying this information in a Hopfield neural network based on a discrete model, we try to absorb the differences between individuals and the degree of feelings effectively. We carried out an experiment with 144 examples of image data. The results of before and after applying the data in the Hopfield neural network were 61.8% and 71.5% respectively

Published in:

Digital Signal Processing Workshop Proceedings, 1996., IEEE

Date of Conference:

1-4 Sep 1996