AFCMAC: An Auto-Adaptive Fuzzy CCMAC for oculomotor system

This paper presents an Auto-Adaptive Fuzzy CMAC (AFCMAC) for horizontal voluntary eye movements while reading. Dynamic Fuzzy Logic is used to speed up the auto-adaptive learning ability and to increase the robust capability of the traditional CMAC. We have evaluated the AFCMAC by testing it on the eye movements - measure by the Chronos Vision Eye-Tracking device - of 5 dyslexic and 5 non-dyslexic children, in a seated position with the head-fixed while reading a French text in near viewing distance. We have used the parameter of standard deviation of binocular fixation disparity. The evaluation results have shown a satisfying performance of the AFCMAC to learn dynamically these different vergence adjustments during binocular fixation word after word in both groups of children.