The invention discloses an anti-
environmental noise tooth gesture interaction action irrelevant identity
authentication method, and belongs to the field of
Internet of Things and pervasive computing. An extraauricular
microphone and an intraauricular
microphone of the smart earphone sense an
environmental noise signal and an
audio signal in an
ear canal, respectively. The related
occlusion effect enables audio signals acquired in the ear to have
frequency selection and individual difference characteristics. When the user executes the tooth gesture interaction action, the corresponding in-ear
bone conduction audio signal has individual difference after being modulated by the face conduction path, and is not easily influenced by the interaction action. According to the method, the
environmental noise interference is effectively eliminated by constructing the personalized mapping relation of the audio signals inside and outside the ear, and the confrontation
learning network is utilized to extract conduction path tissue related biological characteristics from the captured tooth gesture in-ear
bone conduction audio signals, so that the tooth gesture interaction action irrelevant identity
authentication resisting the environmental
noise interference is realized. The method has the advantages of fast
authentication, effective resistance to environmental
noise and robustness to inconsistent interaction actions of tooth gestures.