Abstract: A voice reception device includes a casing and at least two voice reception units. The casing includes a peripheral side wall, a bottom wall, a containing space formed in an inside of the peripheral side wall and the bottom wall, and a first opening end located at an end of the containing space. The voice reception units are disposed in the containing space. Each of the voice reception units includes a main body, a diaphragm, and a voice guiding channel. The main body has a chamber, and an end of the chamber has a second opening end. The diaphragm is connected to the second opening end of the main body. The voice guiding channel includes an importing end acoustically connected to the chamber and an exporting end opposite to the importing end and acoustically connected to a microphone.

Abstract: A voice reception device includes a casing and at least two voice reception units. The casing includes a peripheral side wall, a bottom wall, a containing space formed in an inside of the peripheral side wall and the bottom wall, and a first opening end located at an end of the containing space. The voice reception units are disposed in the containing space. Each of the voice reception units includes a main body, a diaphragm, and a voice guiding channel. The main body has a chamber, and an end of the chamber has a second opening end. The diaphragm is connected to the second opening end of the main body. The voice guiding channel includes an importing end acoustically connected to the chamber and an exporting end opposite to the importing end and acoustically connected to a microphone.

Abstract: A body mass index interval estimation device including an inertial sensor and an arithmetic circuit is provided. The inertial sensor is suitable for being worn on a body part to detect and obtain first gait information of a user in a traveling state. The first gait information includes first three-axis acceleration information and first three-axis angular velocity information. The arithmetic circuit causes processed first gait information after a pre-processing to pass an identification model to generate first body mass index interval information. The identification model is created by performing a training on a sample database. The sample database includes a plurality of second gait information and a plurality of label information corresponding thereto in a one-to-one manner. Each second gait information further includes second three-axis acceleration information and second three-axis angular velocity information.