Patent ID: 11803249

Abstract:
The present application discloses a human-computer interaction method and an interaction system based on capacitive buttons. The method comprises the following steps: acquiring a capacitive charging signal generated by a user finger-touching a capacitive button; processing the capacitive charging signal to extract Mel-frequency cepstrum coefficient characteristics; and inputting the Mel-frequency cepstrum coefficient characteristics into a trained hidden Markov model, identifying a finger type of the user touching the capacitive button, and further implementing human-computer interaction according to an identification result. The present application utilizes the capacitive charging signals generated by touching the capacitive buttons with different fingers to perform button interaction, thus solving the problem of difficult interaction of capacitive buttons, and the present application trains a hidden Markov chain model by taking the Mel-frequency cepstrum coefficient of the capacitive charging signals as the characteristic, thereby improving the identification accuracy.