Abstract: Disclosed is an apparatus and method for classifying a motion state of a mobile device comprising: determining a first motion state associated with a highest probability value and with a first confidence level greater than a first threshold; entering the first motion state; while the first motion state is active, determining a second motion state associated with a highest probability value and with a second confidence level greater than the first threshold, the second motion state being different from the first motion state; determining whether the second motion state is to be entered; and in response to determining that the second motion state is to be entered, entering the second motion state.

Abstract: Techniques for compensating for inertial and/or magnetic interference in a mobile device are provided. The mobile device can include a vibration motor to vibrate the device, a processor, and can include an inertial sensor and/or a magnetometer. The processor can be configured to actuate the vibration motor to induce vibration of the mobile device, to measure motion of the mobile device with the inertial sensor of the device to produce sensor output data and/or to measure a magnetic field generated by the vibration motor to produce magnetometer output data, and to compensate for the vibration of the inertial sensor induced by the vibration motor to produce compensated sensor output data and/or to compensate for a magnetic field generated by the vibration motor when the vibration motor is actuated to produce compensated magnetometer output data.

Abstract: Techniques for compensating for inertial and/or magnetic interference in a mobile device are provided. The mobile device can include a vibration motor to vibrate the device, a processor, and can include an inertial sensor and/or a magnetometer. The processor can be configured to actuate the vibration motor to induce vibration of the mobile device, to measure motion of the mobile device with the inertial sensor of the device to produce sensor output data and/or to measure a magnetic field generated by the vibration motor to produce magnetometer output data, and to compensate for the vibration of the inertial sensor induced by the vibration motor to produce compensated sensor output data and/or to compensate for a magnetic field generated by the vibration motor when the vibration motor is actuated to produce compensated magnetometer output data.

Abstract: Techniques for compensating for inertial and/or magnetic interference in a mobile device are provided. The mobile device can include a vibration motor to vibrate the device, a processor, and can include an inertial sensor and/or a magnetometer. The processor can be configured to actuate the vibration motor to induce vibration of the mobile device, to measure motion of the mobile device with the inertial sensor of the device to produce sensor output data and/or to measure a magnetic field generated by the vibration motor to produce magnetometer output data, and to compensate for the vibration of the inertial sensor induced by the vibration motor to produce compensated sensor output data and/or to compensate for a magnetic field generated by the vibration motor when the vibration motor is actuated to produce compensated magnetometer output data.

Abstract: A method of controlling power consumption of a voice activation system in a mobile platform includes monitoring one or more sensors of the mobile platform. Next, it is determined whether a microphone of the mobile platform is concealed or obstructed in response to the monitoring of the one or more sensors. If so, the mobile platform transitions one or more components of the voice activation system from a normal power consumption power state to a low power consumption state.

Abstract: Disclosed embodiments pertain to the measurement of heart rate in the presence of motion and noise. Spectral peaks in measurements by an optical sensor are compared with spectral peaks obtained from a motion sensor signal measurements, to obtain a fundamental frequency in the optical sensor signal, where the fundamental frequency is associated with a user's heart rate. A first heart rate may be estimated based on the fundamental frequency. A variety of quality metrics may be determined for the first heart rate estimate. A second estimated heart rate may be determined based by processing a frequency domain representation of the optical sensor signal based on a frequency domain representation of the motion sensor signal. One or more of the previously determined quality metrics may be dynamically adjusted based on a comparison of first and second estimated heart rates.

Abstract: Systems, apparatus and methods for populating and using a pressure database to determine an altitude of a unit with an unknown altitude are presented. A pressure from one or more barometric pressure sensors linked to respective base stations are interpolated to determine a reference pressure (e.g., at sea level) at arbitrary coordinates (x,y) having pressure reading. For example, a mobile station at the arbitrary coordinates (x,y) records a pressure at the mobile station. A difference between this pressure at the mobile station and the interpolated reference pressure is determined, which may directly be interpreted as a defined altitude of the mobile station.

Abstract: Disclosed embodiments pertain to the measurement of heart rate in the presence of motion and noise. Spectral peaks in measurements by an optical sensor are compared with spectral peaks obtained from a motion sensor signal measurements, to obtain a fundamental frequency in the optical sensor signal, where the fundamental frequency is associated with a user's heart rate. A first heart rate may be estimated based on the fundamental frequency. A variety of quality metrics may be determined for the first heart rate estimate. A second estimated heart rate may be determined based by processing a frequency domain representation of the optical sensor signal based on a frequency domain representation of the motion sensor signal. One or more of the previously determined quality metrics may be dynamically adjusted based on a comparison of first and second estimated heart rates.

Abstract: Aspects of the invention are related to a method for synchronizing a first sensor clock of a first sensor. The exemplary method comprises: correcting the first sensor clock for a first time, transferring data from the first sensor, and correcting the first sensor clock for a second time, wherein a time interval between two corrections of the first sensor clock is selected such that the first sensor clock is sufficiently aligned with a processor clock of a processor over the time interval.

Abstract: A method of controlling power consumption of a voice activation system in a mobile platform includes monitoring one or more sensors of the mobile platform. Next, it is determined whether a microphone of the mobile platform is concealed or obstructed in response to the monitoring of the one or more sensors. If so, the mobile platform transitions one or more components of the voice activation system from a normal power consumption power state to a low power consumption state.

Abstract: Disclosed is an apparatus and method for classifying a motion state of a mobile device comprising: determining a first motion state associated with a highest probability value and with a first confidence level greater than a first threshold; entering the first motion state; while the first motion state is active, determining a second motion state associated with a highest probability value and with a second confidence level greater than the first threshold, the second motion state being different from the first motion state; determining whether the second motion state is to be entered; and in response to determining that the second motion state is to be entered, entering the second motion state.

Abstract: A method of determining, at a server, an altitude of a mobile device, includes: receiving, at the server from the mobile device, a present barometric pressure at the mobile device; and determining, at the server, an altitude of the mobile device based on the present barometric pressure and a present reference barometric pressure at a known altitude.

Abstract: A method of providing pressure information from a mobile device includes: measuring a barometric pressure at the mobile device; determining a present barometric pressure based on the measured barometric pressure; and sending, from the mobile device toward a server, the present barometric pressure. The server may determine an altitude for the mobile device based on the present barometric pressure and a known reference pressure for a known altitude. The method may further include providing pressure statistics and/or calibration points by the mobile device to the server where the calibration points include pressure measurements for known or determinable locations. The calibration points may enable the server to determine a calibration value to enable an adjustment or correction to the measured barometric pressure.

Abstract: Aspects of the invention are related to a method for synchronizing a first sensor clock of a first sensor. The exemplary method comprises: correcting the first sensor clock for a first time, transferring data from the first sensor, and correcting the first sensor clock for a second time, wherein a time interval between two corrections of the first sensor clock is selected such that the first sensor clock is sufficiently aligned with a processor clock of a processor over the time interval.

Abstract: The disclosure is directed to creating an inertial sensor aided depth map of a scene. An embodiment of the disclosure captures at least a first image and a second image during movement of a device caused by a user while framing or recording the scene, compensates for rotation between the first image and the second image, calculates an amount of translation of the device between the first image and the second image, calculates a pixel shift of a plurality of key points of the first image and the second image, and estimates a depth to one or more of the plurality of key points of the first image and the second image.

Abstract: Systems, apparatus and methods for populating and using a pressure database to determine an altitude of a unit with an unknown altitude are presented. A pressure from one or more barometric pressure sensors linked to respective base stations are interpolated to determine a reference pressure (e.g., at sea level) at arbitrary coordinates (x,y) having pressure reading. For example, a mobile station at the arbitrary coordinates (x,y) records a pressure at the mobile station. A difference between this pressure at the mobile station and the interpolated reference pressure is determined, which may directly be interpreted as a defined altitude of the mobile station.

Abstract: Techniques for compensating for inertial and/or magnetic interference in a mobile device are provided. The mobile device can include a vibration motor to vibrate the device, a processor, and can include an inertial sensor and/or a magnetometer. The processor can be configured to actuate the vibration motor to induce vibration of the mobile device, to measure motion of the mobile device with the inertial sensor of the device to produce sensor output data and/or to measure a magnetic field generated by the vibration motor to produce magnetometer output data, and to compensate for the vibration of the inertial sensor induced by the vibration motor to produce compensated sensor output data and/or to compensate for a magnetic field generated by the vibration motor when the vibration motor is actuated to produce compensated magnetometer output data.

Abstract: The disclosure is directed to creating an inertial sensor aided depth map of a scene. An embodiment of the disclosure captures at least a first image and a second image during movement of a device caused by a user while framing or recording the scene, compensates for rotation between the first image and the second image, calculates an amount of translation of the device between the first image and the second image, calculates a pixel shift of a plurality of key points of the first image and the second image, and estimates a depth to one or more of the plurality of key points of the first image and the second image.