Abstract: Systems and devices are disclosed for calibration of gyroscope sensitivity. By comparing a reference orientation determined without gyroscope data to estimated orientations determined with gyroscope data, a calibrated sensitivity value may be derived using a known relationship between a reference orientation and estimated orientations difference and gyroscope sensitivity.

Abstract: Systems and methods are provided that provide a getter in a micromechanical system. In some embodiments, a microelectromechanical system (MEMS) is bonded to a substrate. The MEMS and the substrate have a first cavity and a second cavity therebetween. A first getter is provided on the substrate in the first cavity and integrated with an electrode. A second getter is provided in the first cavity over a passivation layer on the substrate. In some embodiments, the first cavity is a gyroscope cavity, and the second cavity is an accelerometer cavity.

Abstract: Emission of a scented substance, which is mixed with a tracer substance, is controlled based on an amount of the tracer substance sensed during the emission of the scented substance. The scented substance can be mixed with the tracer substance in a known defined ratio. When the mixture of the scented substance and tracer substance is being emitted by a device, a substance sensor component can sense the amount of the tracer substance being emitted. An emission management component can control the emission of the mixture of substances based on the amount of the tracer substance detected to facilitate controlling the amount of the scented substance being emitted. The emission management component also can control emission of the scented substance in a defined area based on the tracer substance and environmental conditions in the defined area. The tracer substance can be safe, colorless, and/or odorless with respect to people.

Abstract: An electronic device includes a plurality of CMOS control elements arranged in a two-dimensional array, where each CMOS control element of the plurality of CMOS control elements includes two semiconductor devices. The plurality of CMOS control elements include a first subset of CMOS control elements, each CMOS control element of the first subset of CMOS control elements including a semiconductor device of a first class and a semiconductor device of a second class, and a second subset of CMOS control elements, each CMOS control element of the second subset of CMOS control elements including a semiconductor device of the first class and a semiconductor device of a third class.

Abstract: In a method for determining force applied to an ultrasonic sensor, ultrasonic signals are emitted from an ultrasonic sensor. A plurality of reflected ultrasonic signals from a finger interacting with the ultrasonic sensor is captured. A first data based at least in part on a first reflected ultrasonic signal of the plurality of reflected ultrasonic signals is compared with a second data based at least in part on a second reflected ultrasonic signal of the plurality of reflected ultrasonic signals. A deformation of the finger during interaction with the ultrasonic sensor is determined based on differences between the first data based at least in part on the first reflected ultrasonic signal and the second data based at least in part on the second reflected ultrasonic signal. A force applied by the finger to the ultrasonic sensor is determined based at least in part on the deformation.

Abstract: The present disclosure relates to a method and apparatus for determining the misalignment between a device and a pedestrian, wherein the pedestrian can carry, hold, or use the device in different orientations in a constrained or unconstrained manner, and wherein the device comprises a sensor assembly. The sensors in the device may be for example, accelerometers, gyroscopes, magnetometers, barometer among others. The sensors have a corresponding frame for the sensors' axes. The misalignment between the device and the pedestrian means the misalignment between the frame of the sensor assembly in the device and the frame of the pedestrian. The present method and apparatus can work whether in the presence or in the absence of absolute navigational information updates (such as, for example, Global Navigation Satellite System (GNSS) or WiFi positioning).

Abstract: A sensor is disclosed. The sensor includes a substrate and a mechanical structure. The mechanical structure includes at least two proof masses including a first proof mass and a second proof mass. The mechanical structure also includes a flexible coupling between the at least two proof masses and the substrate. The at least two proof masses move in an anti-phase direction normal to the plane of the substrate in response to acceleration of the sensor normal to the plane and move in anti-phase in a direction parallel to the plane of the substrate in response to an acceleration of the sensor parallel to the plane. The at least two proof masses move in a direction parallel to the plane of the substrate in response to an acceleration of the sensor parallel to the plane.

Abstract: A hearable comprises at least one microphone coupled with a wearable structure and a sensor processing unit disposed within the wearable structure and coupled with the microphone. A portion of the wearable structure is configured to be disposed within a user's ear. The sensor processing unit acquires audio data from the at least one microphone and head motion data from at least one motion sensor of the sensor processing unit. The head motion data describes motions of the user's head and comprises cranium motion data and mandible motion data. The sensor processing unit separates the mandible motion data from the head motion data, synchronizes the mandible motion data and the audio data into a synchronized data stream; classifies an activity of the head during a portion of the synchronized data stream; and generates a health indicator for the user based on the activity and the synchronized data stream.

Abstract: A circuit comprising a microelectromechanical (MEMS) gyroscope and a gain circuit coupled with the MEMS gyroscope. The gain circuit is configured to receive a digitized drive signal based at least in part on a digitized drive voltage amplitude of the MEMS gyroscope. The gain circuit is also configured to determine a percentage change in quality factor of the MEMS gyroscope based at least in part on the digitized drive signal and a stored trim value of the MEMS gyroscope. The gain circuit is also configured to compensate for an effect of a change in the quality factor of the MEMS gyroscope based at least in part on the percentage change in quality factor.

Abstract: In a method for generating an estimated fingerprint image, a ridge/valley pattern of a fingerprint of a finger is received. A sensor image including a partial fingerprint of the finger is received. Ridge/valley characteristics of the fingerprint are extracted from the sensor image including the partial fingerprint. An estimated fingerprint image is generated based at least on the ridge/valley pattern of the fingerprint and the ridge/valley characteristics of the fingerprint.

Abstract: A method and system to determine orientation of a device is disclosed. The device includes a plurality of sensors. A first signal indicative of an orientation of the device is generated using at least a first subset of sensors, with at least one sensor. A second signal indicative of the orientation of the device is generated using at least a second subset of sensors, with at least one sensor. The first signal and the second signal is compared to determine if indicated orientation is acceptable. If the orientation is not acceptable, one or more sensors are calibrated.

Abstract: A gyroscope includes four drive masses and four sense masses. Each drive mass is adjacent to two other drive masses and opposite the fourth drive mass, and each sense mass is adjacent to two other sense masses and opposite the fourth sense mass. Each drive mass may oscillate in a manner that is perpendicular to its adjacent drive mass and parallel and anti-phase to its opposite mass. The sense motion of the each sense mass may be coupled in a manner that prevents motion due to linear acceleration or angular acceleration.

Abstract: Integrated microelectromechanical systems (MEMS) acoustic sensor devices are disclosed. Integrated MEMS acoustic sensor devices can comprise a MEMS acoustic sensor element and a pressure sensor within the back cavity associated with the MEMS acoustic sensor element. Integrated MEMS acoustic sensor devices can comprise a port adapted to receive acoustic waves or pressure. Methods of fabrication are also disclosed.

Abstract: A microelectromechanical (MEMS) sensor comprises MEMS components located within a MEMS layer and located relative to one or more electrodes. A plurality of proof masses are located within the MEMS layer and are not electrically coupled to each other within the MEMS layer. Both the first proof mass and the second proof mass move relative to at least a common electrode of the one or more electrodes, such that the relative position of each of the proof masses relative to the electrode may be sensed. A sensed parameter may be determined based on the sensed relative positions.

Abstract: An integrated package of at least one environmental sensor and at least one MEMS acoustic sensor is disclosed. The package contains a shared port that exposes both sensors to the environment, wherein the environmental sensor measures characteristics of the environment and the acoustic sensor measures sound waves. The port exposes the environmental sensor to an air flow and the acoustic sensor to sound waves. An example of the acoustic sensor is a microphone and an example of the environmental sensor is a humidity sensor.

Abstract: Microelectromechanical systems (MEMS) sensors and related bias voltage techniques are described. Exemplary MEMS sensors, such as exemplary MEMS acoustic sensors or microphones described herein can employ one or more bias voltage generators and single-ended or differential amplifier arrangements. Various embodiments are described that can effectively increase the bias voltage available to the sensor element without resorting to high breakdown voltage semiconductor processes. In addition, control of the one or more bias voltage generators in various operating modes is described, based on consideration of a number of factors.

Abstract: A system and method for providing wireless positioning and an accuracy measure thereof, using a probabilistic approach alone or in combination with other models, is provided, for wireless-network-enabled areas. Further means of ranking “base-stations” in a wireless network area according to position discrimination significance and using this ranking to provide an accuracy measure of positioning is provided. Further means of determining the locations of “base-stations” of a wireless network in unknown area without the need for any absolute reference based positioning system is provided.

Abstract: The technique and the system may be used for indoor positioning, where signals of navigation satellites are not available. In accordance with the technique patterns identifying location of the mobile terminal in a specific position may be detected, on the basis of data acquired from at least one inertial and non-inertial sensors in the process of movement of at least one mobile terminal; the path of movement of the above mobile terminal may be detected and saved in the local coordinate system associated with the above position, as well as data acquired from non-inertial sensors; statistically averaged parameters of conversion of local coordinate system of the mobile terminal may be generated in the positions detected in the process of terminal movement; at least one map of distribution of output values of non-inertial sensors may be prepared on the basis of data acquired at the previous step; the position of the above mobile terminal may be detected on the basis of data acquired at the previous step.

Abstract: A method and apparatus for fast magnetometer calibration with little space coverage is described herein. The present method and apparatus is capable of performing both 2-dimensional (2D) and 3-dimensional (3D) calibration for a magnetometer (magnetic sensor) and calculating calibration parameters. The present method and apparatus does not need the user to be involved in the calibration process and there are no required specific movements that the user should perform. The present method and apparatus performs magnetometer calibration in 2D or 3D depending on the natural device movements whatever the application that the magnetometer is used in.

Abstract: In a method for correcting a fingerprint image, it is determined whether an object is interacting with the fingerprint sensor. Provided an object is not interacting with the fingerprint sensor, it is determined whether to capture a darkfield candidate image at the fingerprint sensor, wherein the darkfield candidate image is an image absent an object interacting with the fingerprint sensor. Responsive to making a determination to capture the darkfield candidate image, the darkfield candidate image is captured at the fingerprint sensor. Provided an object is interacting with the fingerprint sensor, it is determined whether to model a darkfield candidate image at the fingerprint sensor. Responsive to making a determination to model the darkfield candidate image, the darkfield candidate image is modeled at the fingerprint sensor. A darkfield estimate is updated with the darkfield candidate image. A fingerprint image is captured at the fingerprint sensor.