Human computer interaction- applying fuzzy C-means, recurrent neural network and wavelet transforms for voluntary eye blink detection

Eye blink Classification & latency computation is one of the interesting areas of the man-Machine interaction. However, overlapped eye blinks, whilst doing fast blinking, increase complexity of the system. In this paper, we developed a Neuro-Fuzzy system using Shift-Invariant Wavelet transforms to overcome this problem. It has been shown that our suggested procedure has high-resolution and is able to classify eye blinks and compute their latencies.