Voice command recognition and natural language recognition are carried out using an accelerometer that senses signals from the vibrations of one or more bones of a user and receives no audio input. Since word recognition is made possible using solely the signal from the accelerometer from a person's bone conduction as they speak, an acoustic microphone is not needed and thus not used to collect data for word recognition. According to one embodiment, a housing contains an accelerometer and a processor, both within the same housing. The accelerometer is preferably a MEMS accelerometer which is capable of sensing the vibrations that are present in the bone of a user as the user is speaking words. A machine learning algorithm is applied to the collected data to correctly recognize words spoken by a person with significant difficulties in creating audible language.

The present application discloses a Method for converting vibration to voice frequency wirelessly and a method thereof. By sensing a first vibration variation data and a voice frequency variation data of a vocal vibration part in a first sensing period, a voice frequency reference data is obtained from the voice frequency variation data and the first vibration result. A second vibration result is obtained at a second sensing period for converting to a voice frequency output signal, and the voice frequency output signal is used to output as a voice signal corresponding to the voice frequency various result. Thus, the present application provides a voice signal close to a human voice.

The present application discloses a Method for converting vibration to voice frequency wirelessly and a method thereof. By sensing a first vibration variation data and a voice frequency variation data of a vocal vibration part in a first sensing period, a voice frequency reference data is obtained from the voice frequency variation data and the first vibration result. A second vibration result is obtained at a second sensing period for converting to a voice frequency output signal, and the voice frequency output signal is used to output as a voice signal corresponding to the voice frequency various result. Thus, the present application provides a voice signal close to a human voice.

A breathing sound measurement device includes a measurement section configured to be brought into contact with a skin of a front neck of a subject and measure breathing sound of the subject and a wearing section configured to have a first end connected to the measurement section and have elasticity to extend in a circular arc shape along an outer circumference of the subject's neck. The wearing section has a second end provided with a pressing portion configured to be pressed against a skin of a rear neck opposite a right front neck with respect to a midpoint between right and left halves of the subject's neck.

An interactive system can utilize microtechnology (e.g., a micro-electromechanical system (MEMS)), such as miniaturized microphone (e.g., a bone-conducting microphone), audio output device, microprocessor, and signal conversion and propagation means to create a personal area network (PAN) for a user. The system can include a voice input device (e.g., worn on one or more teeth of the user) that outputs a near-field magnetic induction (NFMI) signal based on a whisper input by the user. The NFMI signal is either detected by the user's mobile device, or converted into a wireless signal (e.g., a Bluetooth RF signal) detectable by the user's mobile device, for receiving voice commands (e.g., to provide personal assistant services) via a designated application running on the mobile device.

An interactive system can utilize microtechnology (e.g., a micro-electromechanical system (MEMS)), such as miniaturized microphone (e.g., a bone-conducting microphone), audio output device, microprocessor, and signal conversion and propagation means to create a personal area network (PAN) for a user. The system can include a voice input device (e.g., worn on one or more teeth of the user) that outputs a near-field magnetic induction (NFMI) signal based on a whisper input by the user. The NFMI signal is either detected by the user's mobile device, or converted into a wireless signal (e.g., a Bluetooth RF signal) detectable by the user's mobile device, for receiving voice commands (e.g., to provide personal assistant services) via a designated application running on the mobile device.

A mouth piece to transmit sound through vibration may include a front portion and a rear portion, which are connected through a connecting unit with each other to form a U-shaped apparatus. In one embodiment, the mouth piece can be disposed traversing the lower lip. More specifically, the front portion is disposed in front of the lower lip and the rear portion is disposed between the lower lip and the gum behind the lower lip, while the connecting unit is located between the upper lip and lower lip. The mouth piece may further include an extending piece extending from the rear portion into the mouth for the upper tooth and lower tooth to bite on.

A mouth piece to transmit sound through vibration may include a front portion and a rear portion, which are connected through a connecting unit with each other to form a U-shaped apparatus. In one embodiment, the mouth piece can be disposed traversing the lower lip. More specifically, the front portion is disposed in front of the lower lip and the rear portion is disposed between the lower lip and the gum behind the lower lip, while the connecting unit is located between the upper lip and lower lip. The mouth piece may further include an extending piece extending from the rear portion into the mouth for the upper tooth and lower tooth to bite on.

A bone conduction microphone includes a housing having an opening, a microphone pad, an element support member, a piezoelectric element, and a drive plate. The microphone pad is formed in a bottomed tubular shape having a bottom portion disposed outward and a tubular portion with an outer circumference fixed to an inner circumference of the opening. The element support member has an outer circumference fixed to an inner circumference of the tubular portion, and a support portion projecting toward the bottom portion. The piezoelectric element is in a plate shape with a peripheral edge of one surface fixed to the support portion and picks up vibration. The drive plate has a diaphragm part fixed to an inward surface of the bottom portion, and the diaphragm part is provided at a center with a protrusion fixed to an element central portion on another surface of the piezoelectric element.

The present application discloses a Method for converting vibration to voice frequency wirelessly and a method thereof. By sensing a first vibration variation data and a voice frequency variation data of a vocal vibration part in a first sensing period, a voice frequency reference data is obtained from the voice frequency variation data and the first vibration result. A second vibration result is obtained at a second sensing period for converting to a voice frequency output signal, and the voice frequency output signal is used to output as a voice signal corresponding to the voice frequency various result. Thus, the present application provides a voice signal close to a human voice.