An Automatic Eye Wink Interpretation System for the Disable
This paper proposes an automatic eye wink interpretation system for the severely handicapped people. First, we apply the support vector machine (SVM) and template matching algorithm to detect the eyes and then track the eye winks. Then, we convert the sequence of eye winks into code (binary digit) sequence. Finally, we use the dynamic programming to translate the eye wink sequence to a certain command for human-machine interface. In the experiments, our system demonstrates very good performance and high accuracy.