Abstract: System and method for determining a location of a tag are disclosed. The system comprises a mobile tag, sensors, and a controller. The mobile tag determines a first location within a structure that includes multiple second locations. The sensors are positioned at different locations of the structure and sense a structure condition. The controller determines possible paths of the mobile tag within the structure. Next, the controller generates a first set of weighted likelihoods of the mobile tag being located at each second location based on the possible paths and distances between the first location and the multiple second locations. The controller also generates a second set of weighted likelihoods of the mobile tag being located at each second location based on the structure condition. The controller then determines a location of the mobile tag within the structure based on the first and second sets of weighted likelihoods.

Abstract: Apparatuses, methods, and systems for estimating a location of a tag are disclosed. One method includes identifying a physical shape of a structure or characteristics of the structure, sensing a condition of the structure, generating a first set of weighted likelihoods based on the physical shape of the structure or characteristics of the structure, wherein the first set of weighted likelihoods includes a weighted likelihood of the tag being at each one of a plurality of grid points within the structure, generating a second set of weighted likelihoods based on the sensed condition of the structure, wherein the second set of weighted likelihoods includes a weighted likelihood of the tag being at each one of the plurality of grid points, generating a combined set of likelihoods based on the first set of weighted likelihoods and the second set of weighted likelihoods, and estimating a location of the tag based on the combined set of likelihoods.

Abstract: Apparatuses, methods, and systems for estimating a location of a tag are disclosed. One method includes sensing a first condition of a structure, sensing a second condition of the structure, generating a first set of weighted likelihoods based on the first sensed condition of the structure, wherein the first set of weighted likelihoods includes a weighted likelihood of the tag being at each one of a plurality of grid points within the structure, generating a second set of weighted likelihoods based on the second sensed condition of the structure, wherein the second set of weighted likelihoods includes a weighted likelihood of the tag being at each one of the plurality of grid points, generating a combined set of likelihoods based on the first set of weighted likelihoods and the second set of weighted likelihoods, and estimating a location of the tag based on the combined set of likelihoods.

Abstract: There is described a location determining system comprising multiple mobile devices and multiple sensors at a facility as well as a sensor hub communicating directly or indirectly with the sensors. The sensors receive from the mobile devices broadcast beacons and identify measured times associated with receipt of the broadcast beacons from the mobile devices. The sensor hub stores the locations of sensors receives the measured times from the sensors. The sensor hub also determines sensor time errors based on the measured times, the locations of the sensors, and a transmission velocity associated with the broadcast beacons. The location determining system determines locations of the mobile devices based at least in part on the sensor time errors.

Abstract: Various aspects of this disclosure comprise systems and methods for synchronizing sensor data acquisition and/or output. For example, various aspects of this disclosure provide for achieving a desired level of timing accuracy in a MEMS sensor system, even in an implementation in which timer drift is substantial.

Abstract: Systems and methods are disclosed for abstracting a source of sensor data by translating data sink processor communications from a hardware-independent format to a hardware-dependent format and by translating data source portion communications from a hardware-dependent format to a hardware-independent format.

Abstract: A sensor processing unit comprises a sensor processor. The sensor processor is configured to communicatively couple with a microphone. The sensor processor is configured to acquire, from the microphone, a sample captured by the microphone from an environment in which the microphone is disposed. The sensor processor is configured to perform music activity detection on the audio sample to detect for music within the audio sample. Responsive to detection of music within the audio sample, the sensor processor is configured to send a music detection signal to an external processor located external to the sensor processing unit, the music detection signal indicating that music has been detected in the environment.

Abstract: A method and system to a system to provide a sensor data to a host device is disclosed. The system includes a first clock generator that generates a first clock. The system also includes a second clock generator that generates a second clock. The sensor data is sampled based on the first clock. The sensor data is presented to the host device, based on the second clock.

Abstract: In a method of electronic image stabilization, a processor buffers image data into a memory buffer, the image data being obtained by the processor from an image sensor disposed in an electronic device. The processor obtains motion data from a motion sensor disposed in the electronic device, wherein the motion data corresponds with a time of capture of the image data. The processor analyzes the motion data to determine a stabilization correction to apply to the image data. The processor applies the determined stabilization correction to the image data to achieve stabilized image data. The determined stabilization correction is applied, and the stabilized image data is achieved, by the processor without requiring a transfer of the image data from the memory buffer to a graphics processing unit. The stabilized image data is output.

Abstract: In a method of inferring ambient atmospheric temperature, an acoustic signal is emitted from a speaker. A first sample of the acoustic signal is captured with a first microphone spaced a first distance from the speaker. A second sample of the acoustic signal is captured with a second microphone spaced a second distance from the speaker. The second distance is greater than the first distance, and a difference between the first distance and the second distance is a known third distance. A time delay in the acoustic signal is determined between the first sample and the second sample. An ambient temperature of the atmosphere through which the acoustic signal traveled is inferred based on a relationship between the time delay and temperature for the acoustic signal over the third distance.

Abstract: Apparatuses, methods, and systems for estimating a location of a tag are disclosed. One method includes identifying a physical shape of a structure or characteristics of the structure, sensing a condition of the structure, generating a first set of weighted likelihoods based on the physical shape of the structure or characteristics of the structure, wherein the first set of weighted likelihoods includes a weighted likelihood of the tag being at each one of a plurality of grid points within the structure, generating a second set of weighted likelihoods based on the sensed condition of the structure, wherein the second set of weighted likelihoods includes a weighted likelihood of the tag being at each one of the plurality of grid points, generating a combined set of likelihoods based on the first set of weighted likelihoods and the second set of weighted likelihoods, and estimating a location of the tag based on the combined set of likelihoods.

Abstract: A system and method for reliably detecting when a device has been dropped. In a non-limiting example, a drop detection system may be operable to perform one or more of: fall detection, end-of-fall detection, and/or detection of no motion after the fall. The drop detection system may, for example, analyze information from one or more MEMS sensors on-board the device to detect when the device has been dropped.

Abstract: A method and system to a system to determine orientation of a device is disclosed. At least one sensor is provided. A quaternion is generated based on a signal generated by the sensor. The quaternion is indicative of the orientation of the device with reference to a stationary frame. Elements of the quaternion are compared to at least one predefined threshold value. A second signal is generated if the comparison is within the predefined threshold value.

Abstract: Various aspects of this disclosure comprise systems and methods for synchronizing sensor data acquisition and/or output. For example, various aspects of this disclosure provide for achieving a desired level of timing accuracy in a MEMS sensor system, even in an implementation in which timer drift is substantial.

Abstract: Systems and methods are disclosed for abstracting a source of sensor data by translating data sink processor communications from a hardware-independent format to a hardware-dependent format and by translating data source portion communications from a hardware-dependent format to a hardware-independent format.

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: In a method of electronic image stabilization, a processor buffers image data into a memory buffer, the image data being obtained by the processor from an image sensor disposed in an electronic device. The processor obtains motion data from a motion sensor disposed in the electronic device, wherein the motion data corresponds with a time of capture of the image data. The processor analyzes the motion data to determine a stabilization correction to apply to the image data. The processor applies the determined stabilization correction to the image data to achieve stabilized image data. The determined stabilization correction is applied, and the stabilized image data is achieved, by the processor without requiring a transfer of the image data from the memory buffer to a graphics processing unit. The stabilized image data is output.

Abstract: In a method of sensor output configuration, sensor output specifications for a plurality of sensor clients of a sensor are acquired. A first sensor output specification for a first of the sensor clients defines a first value for a sensor parameter. A second sensor output specification for a second of the sensor clients defines a second value for the sensor parameter. The first value and the second value are different. A sensor processing unit, which includes the sensor, is configured based on the sensor output specifications to: simultaneously provide an output of the sensor to the sensor clients according to the first value while a first operational condition is met; and simultaneously provide the output of the sensor to the sensor clients according to the second value while a second operational condition is met, wherein the first operational condition and the second operational condition are different.

Abstract: In a method of inferring ambient atmospheric temperature, an acoustic signal is emitted from a speaker. A first sample of the acoustic signal is captured with a first microphone spaced a first distance from the speaker. A second sample of the acoustic signal is captured with a second microphone spaced a second distance from the speaker. The second distance is greater than the first distance, and a difference between the first distance and the second distance is a known third distance. A time delay in the acoustic signal is determined between the first sample and the second sample. An ambient temperature of the atmosphere through which the acoustic signal traveled is inferred based on a relationship between the time delay and temperature for the acoustic signal over the third distance.

Abstract: System and method for determining a location of a tag are disclosed. The system comprises a mobile tag, sensors, and a controller. The mobile tag determines a first location within a structure that includes multiple second locations. The sensors are positioned at different locations of the structure and sense a structure condition. The controller determines possible paths of the mobile tag within the structure. Next, the controller generates a first set of weighted likelihoods of the mobile tag being located at each second location based on the possible paths and distances between the first location and the multiple second locations. The controller also generates a second set of weighted likelihoods of the mobile tag being located at each second location based on the structure condition. The controller then determines a location of the mobile tag within the structure based on the first and second sets of weighted likelihoods.