Invensense, Inc.

Enlighted, Inc.

Building Robotics, Inc.

Sirf Technology, Inc.

Csr Technology Holdings Inc.

Sirf Technology Holdings, Inc.

Invensease, Inc.

Qualcomm Technologies International, Ltd.

William Kerry Keal

James Robert Lim

Andy Milota

Erik E Anderson

Shang-Hung Lin

Makarand Phatak

Gary R Lennen

Tanuj Mohan

Sinan Karahan

Ge Gao

Mars (Kuang-Li) Lee

Carlo Murgia

Jun Gao

David Sachs

Gaile Gordon

Yuan Zheng

Eitan Medina

Thomas Patrick Murphy

Ajay Kumar Dhanapalan

Sangnam Choi

Taro Kimura

Michael Henderson Perrott

Mangesh M Chansarkar

James M Brown

Amaresh Virupanagouda Malipatil

Sriraman Dakshinamurthy

Keith J Brodie

Karthik Katingari

Paul Eric Beckmann

Hemabh Shekhar

Rosa M Y Chow

Joe Youssef

Anjia Gu

Keith Brodie

Timothy Lynn Kelliher

James B Lim

Paul Eric Beckman

Mubbasher Mukhtar

Dhru Srivastava

Mars Lee

Mangesh Chasarkar

There is described a building automation system comprising a mobile tag, sensor devices, and a sensor hub. The mobile tag transmits a broadcast beacon based on RF technology. The sensor devices are co-located with light fixtures and include antennas for receiving a broadcast beacon. The sensor devices generate signals associated with the broadcast beacon received by the antennas. The sensor hub receives the signals from each sensor device and determines a location of the mobile tag based on the signals.

Light fixture of building automation system

There is described a system for translating clock domain for non-synchronized sensors comprising a first sensor, a second sensor, and an upstream device. The first and second sensors receive a beacon from a tag. Each sensor transmits a report including a beacon receive time in a sensor clock domain. The upstream device receives the reports and translates beacon receive times from the sensor clock domain to an aggregator clock domain. The translation is based, at least in part, on beacon reception data of the sensors, report transmission data of the sensors, and report reception data of the upstream device. The upstream device determines a location of the tag based on a delta of the beacon receive times in the aggregator clock domain.

Clock domain translation for non-synchronized sensors

There is described a system, method, and medium for managing a group of radio frequency (RF) sensors. The system comprising a first sensor, a second sensor and an upstream device. A sensor management system comprises a first sensor, a second sensor, and an upstream device. The first sensor is positioned at a first location and transmits a wireless signal. The second sensor is positioned at a second location and detects the wireless signal. The first and second locations of the first and second sensors correspond to an expected wireless signal of the first sensor. The upstream device performs an action in response to determining that a difference between the detected wireless signal and the expected wireless signal exceeds a predetermined threshold.

System and method for managing sensors

A building management system and method for sensor time correction is described. The system comprises multiple sensors and an energy manager communicating with the sensors. The sensors, distributed within a particular area, provide multiple time measurements in response to detecting an object traversing among the sensors in which the time measurements are associated with unsynchronized time. The energy manager identifies a predicted time for traversing among the sensors based on one or more distances between pairs of sensors and an average velocity of the object to traverse among the sensors. The energy manager determines a sensor time error for each sensor by cross-correlating the time measurements with the predicted time.

Building management system for sensor time correction

There is described an upstream device for translating clock domain for non-synchronized sensors comprising a communication component, a memory component, and a processor. The communication component detects a report received from a sensor that includes a beacon receive time in a sensor clock domain and a current report transmit time in the sensor clock domain. The memory component provides a previous report receive time in the aggregator clock domain and a previous report transmit time in the sensor clock domain. The processor identifies a current report receive time in an aggregator clock domain based on the report detected by the communication component. The processor also determines a beacon receive time in the aggregator clock domain based, at least in part, on the beacon receive time in the sensor clock domain, the current report transmit time, the current report receive time, the previous report receive time, the previous report transmit time.

A method includes generating motion data by receiving a gyroscope data from a gyroscope sensor, performing integration using the gyroscope data and generating an integrated gyroscope data using a first processor. The method further includes receiving a data from one or more sensors, other than the gyroscope sensor, and performing sensor fusion using the integrated gyroscope data and the data to generate motion data using a second processor.

Method to reduce data rates and power consumption using device based attitude generation

There is described a motion detection system of a building automation system comprising a motion sensing component and a processor. The motion sensing component is configured to generate a raw signal. The processor is configured to establish first-order difference signals based on the raw signal. The processor is also configured to identify in-band energy in a motion portion of a sensor frequency range based on the first-order difference signals and identify total energy in the sensor frequency range based on the first-order difference signals. In addition, the processor is configured to determine a ratio of the in-band energy and the total energy and generate a motion status update in response to determining that the ratio meets or exceeds a predetermined ratio threshold.

Motion detection system and method of a building automation system

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.

System and method for mems sensor system synchronization

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.

Method and device for electronic image stabilization of a captured image

A device may include a sensor, a sampling unit, and an interpolator. The sensor may be configured to sense motion and output a sensed signal. The sampling unit may be configured to sample the sensed signal with a sensor clocking signal to generate a plurality of sampled values. The interpolator may be coupled to the sampling unit and may be configured to receive the plurality of sampled values, the sensor clocking signal, and a reference clocking signal external to the device. The interpolator may be configured to interpolate the plurality of sampled values based on the reference clocking signal and further based on the sensor clocking signal to generate a plurality of output values.

Data correction for a sensor

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.

Systems and methods for interfacing a sensor and a processor

A pressure sensor of a mobile device may be corrected by receiving reference pressure information from an associated device. The correction using differential pressure measurements may be influenced by one or more determined condition characteristics.

Systems and methods differential pressure sensing

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.

Mobile tag sensing and location determination

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.

Mobile tag sensing and location estimation

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.

Growing community of inventors

Santa Clara, CA, United States of America

William Kerry Keal