A method for distinguishing between involuntary and voluntary blinks based on graphene sensor

In this study, we develop a judging method and device to distinguish between involuntary and voluntary blinks. This method mainly uses graphene sensor, which is attached to the orbicularis oculi muscle, to collect electrical signals of graphene resistance changes, and attains the detection range of the temporal features and peak features of different types of blinks to build a database. On this basis, the temporal, and peak features of the electrical signal of obtained single blink are extracted to complete the recognition of one single blink. The introduced solution allows for stable, reliable, and accurate blink recognition, excluding the influence of the environment.