Detection of Winking by a Neural Network
Naoyuki Kanou, Michio Inoue, Yasuhiro Kobayashi, Takashi Kawakami, Kimiaki Inoue · IEEJ Transactions on Electronics Information and Systems · 1995
We have developed several Communication Aids (CAs) for serious patients (e. q., Spinal Cord Injured Patients, Amyotrophic Lateral Sclerosis etc.) who lose their ability of communication. The input sensor of the CA is very important to use it smoothly. Most patients have used sensors of put-on-type. But it is difficult to put such sensors on their relevant muscle exactly.In this paper, we apply the winking to an input signal of the CA. The winking, whitch is detected on a TV camera, is recognized by training a neural network (NN) with three layers. To implove their ability of pattern generalization, we set the initial weights of the NN refering to its input images.