A gesture recognition apparatus includes a sensor unit configured to be worn by a user on a user's body part. The sensor unit includes one or more sensors, a processor unit, the processor unit and the sensor unit are arranged in communication with each other, the processor unit receiving acoustic data from the one or more sensors, wherein the acoustic data corresponds to a gesture performed by a user, and the processor unit is configured to process the acoustic data received from the one or more sensors to determine a gesture performed by the user.

A gesture recognition apparatus includes a sensor unit configured to be worn by a user on a user's body part. The sensor unit includes one or more sensors, a processor unit, the processor unit and the sensor unit are arranged in communication with each other, the processor unit receiving acoustic data from the one or more sensors, wherein the acoustic data corresponds to a gesture performed by a user, and the processor unit is configured to process the acoustic data received from the one or more sensors to determine a gesture performed by the user.

Some preferred embodiments include a microphone system for receiving sound waves, the microphone including a back plate, a radiation plate, first and second electrodes, first and second insulator layers, a power source and a microphone controller. The radiation plate is clamped to the back plate so that there is a hermetically sealed circular gap between the radiation plate and the back plate. The first electrode is fixedly attached to a side of the back plate proximate to the gap. The second electrode is fixedly attached to a side of the radiation plate. The insulator layers are attached to the back plate and/or the radiation plate, on respective gap sides thereof, so that the insulator layers are between the electrodes. The microphone controller is configured to use the power source to drive the microphone at a selected operating point comprising normalized static mechanical force, bias voltage, and relative bias voltage level. A radius and height of the gap, and a thickness of the radiation plate, are determined using the selected operating point so that a sensitivity of the microphone at the selected operating point is an optimum sensitivity for the selected operating point.

A vibration sensor having a moveable mass adapted to move in response to vibrations or accelerations. The sensor includes a damping arrangement that includes a damping fluid or gel. The moveable mass is arranged to interact directly or indirectly with the damping fluid or gel in order to reduce a mechanical resonance peak of the vibration sensor. The damping fluid or gel has a viscosity between 1000 cP and 100000 Cp and damping properties that are substantially stable over time.

Provided is an energy harvesting system, including: a first electrode; a second electrode; a non-metalized mono-charged electret diaphragm disposed between the first and second electrodes; a base; a spring extending between the base and the electret diaphragm; and a rod in communication with the electret diaphragm and for manipulating a position of the electret diaphragm relative to the first and second electrodes.

The present disclosure provides a semiconductor device including a fixed electrode, a movable electrode and an elastic support. The movable electrode faces the fixed electrode and is movable relative to the fixed electrode. The elastic support supports the movable electrode to be movable in an elastic direction of the elastic support. Either one of the fixed electrode or the movable electrode is an electret electrode.

The present disclosure provides a semiconductor device including a fixed electrode, a movable electrode and an elastic support. The movable electrode faces the fixed electrode and is movable relative to the fixed electrode. The elastic support supports the movable electrode to be movable in an elastic direction of the elastic support. Either one of the fixed electrode or the movable electrode is an electret electrode.

Systems, apparatuses, and methods for manufacturing a microelectromechanical system (MEMS) device. The MEMS device includes a substrate, a cap, a microelectromechanical component, and a tag. The cap is coupled to the substrate such that the substrate and the cap cooperatively define an interior cavity. One of the substrate or the cap defines a port. The microelectromechanical component is disposed within the interior cavity. The tag is coupled to the substrate and an exterior surface of the cap to secure the cap to the substrate.

A MEMS sound transducer includes a backplate and a membrane held by an edge fixing such that the membrane is deflectable along a deflection direction toward the backplate. The MEMS sound transducer further includes an elevation element arranged between the membrane and the backplate and having a first height along the deflection direction. The MEMS sound transducer also includes a supporting structure and a spacer element arranged between the membrane and the supporting structure and having a second height along the deflection direction, the second height being greater than the first height. The supporting structure is the backplate or is a supporting element arranged opposite the backplate, such that the membrane is arranged between the backplate and the supporting element.

A system for monitoring dietary activity of a user includes a wearable device having at least one audio input unit configured to record an audio sample corresponding to audio from a user's neck. The system further includes a processor configured to execute programmed instructions stored in a memory to obtain an audio sample from the audio input unit of a wearable device, determine segmental feature values of a set of selected features from the audio sample by extracting short-term features in the set of selected features from the audio sample and determining the segmental feature values of the set of selected features from the extracted short-term features. The processor is further configured to, using a classifier, classify a dietary activity based on the determined segmental feature values of the audio sample and generate an output corresponding to the classified dietary activity.