A monophthong recognition method based on facial surface EMG signals by optimizing muscle mixing

摘要

The present invention relates to a method for recognizing a short vowel sound on the basis of a facial muscle surface EMG signal using a classifier based on a surface EMG signal of a facial muscle and using only an EMG signal without utterance to (a) Generating classifiers based on facial muscles and features of each vowel using training data of a plurality of facial muscle surface EMG signals; (b) selecting features to be used for each facial muscle of each vowel; (c) selecting a classifier combination to recognize a corresponding vowel among classifier combinations of facial muscles that recognize each vowel; And (d) recognizing the corresponding vowel with a predetermined classifier combination.According to the above-described method, since the vowel is recognized only by the electromyogram of the facial muscle without vocalization, it is not exposed to undesired voice noise, so that it is possible to correctly recognize the voice even in a place with a lot of noises such as an outdoor place or a car. Speech recognition can be done even if there is damage.;