Shenzhen University

Maoning Guan

Kaishun Wu

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.

Human-computer interaction method and interaction system based on capacitive buttons

A smart device input method based on facial vibration includes: collecting a facial vibration signal generated when a user performs voice input; extracting a Mel-frequency cepstral coefficient from the facial vibration signal; and taking the Mel-frequency cepstral coefficient as an observation sequence to obtain text input corresponding to the facial vibration signal by using a trained hidden Markov model. The facial vibration signal is collected by a vibration sensor arranged on glasses. The vibration signal is processed by: amplifying the collected facial vibration signal; transmitting the amplified facial vibration signal to the smart device via a wireless module; and intercepting a section from the received facial vibration signal as an effective portion and extracting the Mel-frequency cepstral coefficient from the effective portion by the smart device.

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Shenzhen, China

Maoning Guan