Abstract: A sensor may be automatically calibrated during manufacture by providing a sensor processing unit having an integrated sensor, performing a check to determine if the integrated sensor has been previously calibrated upon a reset. When it has been determined the integrated sensor has not been previously calibrated, an automated calibration pattern may be imparted to the sensor so that a calibration parameter is determined.

Abstract: A sensor may be automatically calibrated during manufacture by providing a sensor processing unit having an integrated sensor, performing a check to determine if the integrated sensor has been previously calibrated upon a reset. When it has been determined the integrated sensor has not been previously calibrated, an automated calibration pattern may be imparted to the sensor so that a calibration parameter is determined.

Abstract: A network system receives a transport request from a user device for a route from a first location to a destination, the route including at least a first leg to an intermediate location using a first type of transportation and a second leg from the intermediate location to the destination using a second type of transportation. The network system receives transit data associated with the first type of transportation, and determines, based on a location of the user device and the transit data, that a user of the user device is following the route. The network system schedules, at a time determined based on the location of the user device, a provider to transport the user along the second leg of the route.

Abstract: Systems and methods are provided for receiving a unique identifier for a local transmitter and a signal strength for the local transmitter, determining a position and channel parameters of the local transmitter based on the unique identifier for the local transmitter, converting the signal strength for the local transmitter into a distance measurement using the channel parameters, the distance measurement indicating a distance of a computing device to the position of the local transmitter, and calculating a location of the computing device using the distance measurement and position of the local transmitter.

Abstract: In a method of motion sensor calibration, a motion with which to calibrate a motion sensor is determined. The motion sensor is controlled by a sensor processor and the motion sensor is comprised within a user interface that is coupled with a gaming engine. The sensor processor and the gaming engine coordinate regarding the motion. The sensor processor monitors the motion sensor for evidence of the motion made as a user input via the user interface in response to game content implemented by the gaming engine, based on the coordination, to incite the motion. The sensor processor calibrates the motion sensor with the motion.

Abstract: 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.

Abstract: A system and method for efficiently determining trajectory and/or location of a device (or user thereof). In a non-limiting example, rotation matrix coefficients may be analyzed in conjunction with stepping information to determine device trajectory and/or location. The system and method may, for example, be implemented in a MEMS sensor system, for example comprising a MEMS gyroscope, MEMS accelerometer, MEMS compass and/or MEMS pressure sensor.

Abstract: A system and method for efficiently determining trajectory and/or location of a device (or user thereof). In a non-limiting example, rotation matrix coefficients may be analyzed in conjunction with stepping information to determine device trajectory and/or location. The system and method may, for example, be implemented in a MEMS sensor system, for example comprising a MEMS gyroscope, MEMS accelerometer, MEMS compass and/or MEMS pressure sensor.

Abstract: A sensor may be automatically calibrated during manufacture by providing a sensor processing unit having an integrated sensor, performing a check to determine if the integrated sensor has been previously calibrated upon a reset. When it has been determined the integrated sensor has not been previously calibrated, an automated calibration pattern may be imparted to the sensor so that a calibration parameter is determined.

Abstract: A system and method for efficiently determining trajectory and/or location of a device (or user thereof). In a non-limiting example, rotation matrix coefficients may be analyzed in conjunction with stepping information to determine device trajectory and/or location. The system and method may, for example, be implemented in a MEMS sensor system, for example comprising a MEMS gyroscope, MEMS accelerometer, MEMS compass and/or MEMS pressure sensor.

Abstract: In a method of motion sensor calibration, a motion with which to calibrate a motion sensor is determined. The motion sensor is controlled by a sensor processor and the motion sensor is comprised within a user interface that is coupled with a gaming engine. The sensor processor and the gaming engine coordinate regarding the motion. The sensor processor monitors the motion sensor for evidence of the motion made as a user input via the user interface in response to game content implemented by the gaming engine, based on the coordination, to incite the motion. The sensor processor calibrates the motion sensor with the motion.

Abstract: A system and method for reliably counting user steps. Various aspects may, for example, comprise processing a plurality of frequency bands of at least one sensor signal to accurately count user steps. A plurality of filtered sensor signals may be formed by filtering a sensor signal with a plurality of band-pass filters from which a dominant filtered sensor signal may be selected. The selected dominant filtered sensor signal may then be used to count user steps. Further, a frequency band of a sensor signal may be selected such that if it is determined the user is not engaged in a non-stepping activity, user steps may be counted using the content of the signal in the selected frequency band. Still further, user steps may be counted using an identified dominant harmonic.

Abstract: Systems and devices are disclosed for communicating between a portable device and a first base station. A wireless communications link may be established between the portable device and the first base station. Sensor data indicative of motion of the portable device relative to the first base station may be obtained, such that communication parameters may be adjusted based at least in part on the motion sensor data.

Abstract: 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.

Abstract: A method of calibrating analog transceiver delay includes generating a signal in a portion of a first device to arrive at a first known time at analog transmit circuitry of the first device, transmitting the signal from the analog transmit circuitry of the first device, receiving the transmitted signal, and deriving transceiver delay from the received signal. The transmitting may be performed via a closed loop to analog receiver circuitry of the first device, detecting the signal at a second known time at an output of the analog receiver circuitry of the first device. The transmitting also may be performed wirelessly to receiver circuitry of a second device placed at a predetermined distance from the first device, detecting the received signal at a second known time at the receiver circuitry of the second device. Transceiver delay can be determined from transit time and apportioned between transmit delay and receive delay.

Abstract: Systems and devices are disclosed for providing sensor data First and second sensors integrated with a portable device may have multiple axes of measurement By combining data from the first sensor and the second sensor, a synthetic signal may be generated for a first axis of the first sensor.

Abstract: Systems and methods are disclosed for calibrating a pressure sensor associated with a mobile device. The reference pressure information may be obtained from an associated device and then be used to calibrate the pressure sensor.

Abstract: Systems and devices are disclosed for providing sensor data First and second sensors integrated with a portable device may have multiple axes of measurement By combining data from the first sensor and the second sensor, a synthetic signal may be generated for a first axis of the first sensor.

Abstract: A system and method for classifying a position of a device may include processing one or more respective signal characteristics of one or more signals indicative of device orientation to determine a position of a device relative to a user. In a non-limiting example, various aspects of this disclosure include analyzing, over time, one or more characteristics of a first signal indicative of the alignment of a first device axis with a reference direction and one or more characteristics of a second signal indicative of the alignment of a second device axis with the known direction, and determining the position of the device based at least in part on such analysis. One or more analyzed signals may, for example, correspond to and/or be derived from MEMS sensor signals.