Qualcomm Incorporated

Proxim Corporation

Widefi, Inc.

Carlos Manuel Puig

James Arthur Proctor, Jr

Kenneth Marvin Gainey

Victor Kulik

Disha Ahuja

Lawrence W LaMont, Jr

James C Otto

Shankar Sadasivam

Ashish Nagesh Desai

Ramin Samadani

Wyatt Thomas Riley

Russel A Martin

Joseph Czompo

Ross L Lintelman

Stephen William Edge

Leonid Sheynblat

Lionel Jacques Garin

Edward Harrison Teague

Kirk Allan Burroughs

Andreas Klaus Wachter

Szepo Robert Hung

Radu Pitigoi-Aron

Ruben Manuel Velarde

Gitty N Nasserbakht

Jin Won Lee

Vitor R Carvalho

Rashmi Kulkarni

Justin Phelps Black

Subramaniam Venkatraman

Bruce Everett Wilson

Bhuwan Dhingra

Juan Grau

Tony Kirke

Siddika Parlak Polatkan

Qing Xu

Russel Allyn Martin

Vitor Carvalho

James Proctor

Lawrence Lamont

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.

Smartphone motion classifier

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.

Device driven inertial interference compensation

Methods, systems, computer-readable media, and apparatuses for estimating a user's heart rate using a PG signal are presented. In some implementations, the heart rate is estimated by computing a frequency-domain PG, identifying one or more features in the frequency-domain PG, selecting qualified features from the one or more features, and constructing one or more traces. In some implementations, an accelerometer signal can be used for motion cancellation to eliminate traces that are motion artifacts.

Estimating heart rate by tracking optical signal frequency components

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.

Sensor activated power reduction in voice activated mobile platform

Aspects of the disclosure relate to computing technologies. In particular, aspects of the disclosure relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for improving orientation data. In some embodiments, a magnetic vector filter receives magnetometer data from a magnetometer and gyroscope data from a gyroscope and determines the magnetic vector using the magnetometer data and the gyroscope data in the magnetic vector filter. In other embodiments, a gravity vector filter receives accelerometer data and gyroscope data and determines the gravity vector using the accelerometer data and the gyroscope data in the gravity vector filter.

System and method for improving orientation data

System and methods are disclosed to use information available on the state of mobile devices in a heuristics-based approach to improve motion state detection. In one or more embodiments, information on the WiFi connectivity of mobile devices may be used to improve the detection of the in-transit state. The WiFi connectivity information may be used with sensor signal such as accelerometer signals in a motion classifier to reduce the false positives of the in-transit state. In one or more embodiments, information that a mobile device is connected to a WiFi access point (AP) may be used as heuristics to reduce the probability of falsely classifying the mobile device in the in-transit state when mobile device is actually in the hand of a relatively stationary user. Information on the battery charging state or the wireless connectivity of the mobile devices may also be used to improve the detection of in-transit state.

In-transit detection using low complexity algorithm fusion and phone state heuristics

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.

Robust heart rate estimation

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.

Access network node based barometric reference pressure network

Aspects of the disclosure relate to computing technologies. In particular, aspects of the disclosure relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for scheduling an execution of a task, such as a non-real time, non-latency sensitive background task on a computing device. In one implementation, the technique includes detecting a first state of a device, wherein the first state of the device is associated with a first power level and a first task, wherein the first power level is at least partially based on power consumption of a first task, determining that the first power level associated with the first state is above a threshold, and in response to determining that the first power level associated with the first state is above the threshold, and scheduling an execution of a second task on the device, wherein the second task is associated with automatically collecting of calibration data using at least one sensor.

Sensor auto-calibration

Aspects of the disclosure relate to computing technologies. In particular, aspects of the disclosure relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for improving calibration data by increasing the diversity of orientations used for generating the calibration data. In one embodiment, the computing device receives a plurality of calibration measurements associated with one or more sensors of a device, determines a degree to which the plurality of calibration measurements were captured at different orientations of the device, and determines, based on the degree, whether to update one or more calibration parameters.

Aspects of the disclosure relate to computing technologies. In particular, aspects of the disclosure relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media to improve the calibration data by taking into account the effects of change in temperature on motion sensors. For instance, different levels of error may be associated with a motion sensor at different temperature levels. In one implementation, the sensor measurement data associated with the various orientations at a temperature is used in determining the calibration data for that temperature.

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.

System and methods of reducing energy consumption by synchronizing sensors

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.

Inertial sensor aided instant autofocus

A repeater is configured to selectively generate and transmit control message packets between wireless stations on both a transmit side and a receive side of the repeater. The repeater manages and manipulates an end to end protocol of the control message packets in a manner that does not change media access control (MAC) addresses of the end to end protocol so as to achieve a network objective, such as preventing other transmitters from transmitting while the repeater repeats a signal from its receive side to its transmit side. The control message management is applicable to analog signal repeaters as well as digital repeaters, such as symbol to symbol or packet to packet repeaters, in which physical layer control message management is performed.

Growing community of inventors

Santa Clara, CA, United States of America

Carlos Manuel Puig