Qualcomm Incorporated

Snaptrack Incorporated

Trimble Navigation Limited

Omnitracs, LLC

Norman F. Krasner

Leonid Sheynblat

Mark Leo Moeglein

Wyatt Thomas Riley

Norman Franklin Krasner

Douglas Neal Rowitch

Arnold Jason Gum

Thomas George Wolf

Russel A Martin

Douglas Wayne Hoffman

Peter S Gaal

Christopher Patrick

Cormac S Conroy

Zoltan F Biacs

Harold L Longaker

Kenneth Robert Baker

James Douglass DeLoach, Jr

Newfel Harrat

Babak Forutanpour

Charles Edward Wheatley

Ardalan Heshmati

Roger Brockenbrough

Michael James Wengler

Kyoung Cheol Oh

Daniel James Willis

Alexander Hodisan

James D Deloach

Liang Zhao

Saumitra Mohan Das

Vinay Sridhara

Seyfullah Halit Oguz

Bala Ramasamy

Wesley James Holland

Cristina A Seibert

Michael Kohlmann

Rashmi Kulkarni

Justin Phelps Black

Samuel Jacob Horodezky

David L Bednar

Ziad Asghar

Paul A Conflitti

Thomas Keith Wrappe

John T Larkin

Deepak R Chandra

Ricky W Yuen

Jun Wang

Paul E Bender

Ramin Rezaiifar

Charles E Wheatley, Iii

Lionel Jacques Garin

Roberto Padovani

Gregory Gordon Rose

Chong U Lee

Parvathanathan Subrahmanya

Jonathan Kies

Radu Pitigoi-Aron

Raymond T Hsu

Alejandro Raul Holcman

Jack K Wolf

Peter V Loomis

Marc Anthony Ische

Carlos Manuel Puig

Eugene Dantsker

Rajeev Durai Rajan

Muhammed Ibrahim Sezan

Sanjeev Khushu

Samir Khalil Khazaka

Randall Coleman Gellens

Daniel Holman Agre

Anup Savla

Stephen S Carter

Baruch Eruchimovitch

Bruce Everett Wilson

Rudolph M Kalafus

Ashish Nagesh Desai

Arik Mimran

Donald John Jones

Ricky Wai Kit Yuen

Srinivas Patwari

Jadine Naomi Yee

Aiman Abdel-Malek

Scott Alan Leazenby

Abhishek Adappa

Parag Agahse

George O Hockley, Jr

Nancy Nelson

James Douglass DeLoach Jr

K Tysen Mueller

Norman F Krasner

Asha Gowri Karvaje

Chenna Bayapureddy

Elio J Oliva

Xiaoxia Dong

Zhijia Sun

Sabrina Chung Man Wong

Xin Chen

Russel Allyn Martin

Methods, systems, computer-readable media, and apparatuses for obtaining at least one bodily function measurement are presented. A mobile device includes an outer body sized to be portable for user, a processor contained within the outer body, and a plurality of sensors physically coupled to the outer body. The sensors are configured to obtain a first measurement indicative of blood volume and a second measurement indicative of heart electrical activity in response to a user action. A blood pressure measurement is determined based on the first measurement and the second measurement. The sensors also include electrodes where a portion of a user's body positioned between the electrodes completes a circuit and a measurement to provide at least one measure of impedance associated with the user's body. A hydration level measurement is determined based on the measure of impedance.

System and method for obtaining bodily function measurements using a mobile device

Systems, methods, and non-transitory media are provided for a vehicle and mobile device interface for vehicle occupant assistance. An example method can include determining, based on one or more images of an interior portion of a vehicle, a pose of a mobile device relative to a coordinate system of the vehicle; determine a state of an occupant of the vehicle; and send, to the vehicle, data indicating the state of the occupant and the pose of the mobile device relative to the coordinate system of the vehicle.

Vehicle and mobile device interface for vehicle occupant assistance

Systems, methods, and non-transitory media are provided for presenting information associated with at least one input option. An example method can include receiving data identifying one or more input options associated with a first device in a scene; determining, including using at least one memory, information relevant to at least one of the scene, the first device, and a user associated with a second device; and based on the one or more input options and the information, output user guidance data corresponding to an input option for which relevant context information has been determined.

User interactions with remote devices

The subject matter disclosed herein relates to the control and utilization of multiple sensors within a device. For an example, motion of a device may be detected in response to receipt of a signal from a first sensor disposed in the device, and a power state of a second sensor also disposed in the device may be changed in response to detected motion.

Multi-sensor data collection and/or processing

Systems, methods, and non-transitory media are provided for a vehicle and mobile device interface for vehicle occupant assistance. An example method can include determining, based on one or more images of an interior portion of a vehicle, a position of a mobile device relative to a coordinate system of the vehicle; receiving, from the vehicle, data associated with one or more sensors of the vehicle; and displaying, using a display device of the mobile device, virtual content based on the data associated with the one or more sensors and the position of the mobile device relative to the coordinate system of the vehicle.

Methods and apparatuses for position determination and other operations. In one embodiment of the present invention, a mobile station uses wireless signals from a plurality of wireless networks (e.g., with different air interfaces and/or operated by different service providers) for position determination (e.g., for data communication, for obtaining time and/or frequency information, for range measurement, for sector or altitude estimation). In one embodiment of the present invention, mobile stations are used to harvest statistical data about wireless access points (e.g., the locations of mobile stations that have received signals from the wireless access points, such as from cellular base stations, wireless local area network access points, repeaters for positioning signals, or other wireless communication transmitters) and to derive location information (e.g., position and coverage area of the wireless access points) for the wireless networks from the collected statistical data.

Method and apparatus for wireless network hybrid positioning

A mobile wireless device locating method at a mobile wireless device includes: determining, based at least in part on measurements of first signals, first location information for the mobile wireless device; sending a request for transceiver information based on the first location information; receiving the transceiver information at the mobile wireless device, the transceiver information including transceiver identifiers and corresponding locations; measuring second signals from at least some of the transceivers included in the transceiver information, at least one of the second signals being from an uncooperative terrestrial base station capable of bi-directional communications and configured to prevent data and/or voice communications with the mobile wireless device; and determining second location information for the mobile wireless device using information obtained from measuring the second signals.

Local area network assisted positioning

A method for assisting in locating a position of a mobile wireless device includes: obtaining location information of an approximate location of the mobile wireless device; generating an almanac of base stations based at least in part on proximity of locations of the base stations to the approximate location of the mobile wireless device, the almanac of base stations comprising at least one cooperative terrestrial base station that can communicate with the mobile wireless device in at least one mode and at least one uncooperative terrestrial base station capable of bi-directional communications and configured to prevent data and voice communications with the mobile wireless device, the at least one uncooperative terrestrial base station being configured to acknowledge a message received from the mobile wireless device; and providing the almanac of base stations to the mobile wireless device.

Methods, systems, computer-readable media, and apparatuses for systems and methods for in-ear control of remote devices are presented. One disclosed method includes receiving, by a microphone of an in-ear device, audio signals from an audio source, the in-ear device inserted into a wearer's ear; determining a command based on the audio signals using a speech recognition technique; performing a voice recognition technique to determine an identity of the audio source; authenticating the command based on the identity of the audio source; and transmitting a signal to a remote electronic device, the signal configured to cause the remote electronic device to execute the command.

Systems and methods for in-ear control of remote devices

A method and system for assisting mobile stations to locate a satellite use an efficient messaging format. A server computes a correction between coarse orbit data of a satellite and precise orbit data of the satellite. A coordinate system is chosen such that variation of the correction is substantially smooth over time. The server further approximates the correction with mathematical functions to reduce the number of bits necessary for transmission to a mobile station. The mobile station, upon receiving the coefficients, evaluates the mathematical functions using the coefficients and a time of applicability (e.g., the current time), converts the evaluated result to a standard coordinate system, and applies the conversion result to the coarse orbit data to obtain the precise orbit data.

Method and apparatus for position determination with extended SPS orbit information

Disclosed is a method and apparatus for power-efficiently processing sensor data. In one embodiment, the operations implemented include: configuring a sensor fusion engine and a peripheral controller with a general purpose processor; placing the general purpose processor into a low-power sleep mode; reading data from a sensor and storing the data into a companion memory with the peripheral controller; processing the data in the companion memory with the sensor fusion engine; and awaking the general purpose processor from the low-power sleep mode.

Algorithm engine for ultra low-power processing of sensor data

Growing community of inventors

Hillsborough, CA, United States of America

Leonid Sheynblat