Apple Inc.

Adam S Howell

Hung A Pham

Alexander Singh Alvarado

Xiaoyuan Tu

Karthik Jayaraman Raghuram

Gunes Dervisoglu

Ronald Keryuan Huang

Anil K Kandangath

Xing Tan

Vinay R Majjigi

Rami Y Hindiyeh

Umamahesh Srinivas

Adeeti V Ullal

James P Ochs

Craig H Mermel

Sunny K Chow

Robert William Mayor

Daniel Ulbricht

Isaac Thomas Miller

Bharath Narasimha Rao

Ben-Heng Juang

Oleg Naroditsky

Patrick James Coleman

Edith Merle Arnold

Jonathan M Beard

Hengliang Zhang

Sean P Cier

Hue Duc Tran

Christian Lipski

Margaret H Tam

Hyojoon Bae

Saurabh Godha

Robin T Guers

Akifumi Kobashi

Oliver Ruepp

Halil Ibrahim Basturk

Tang Yew Tan

Erik L Wang

Tyler S Bushnell

Brad W Simeral

Blake R Marshall

Santhana Krishnan Balaji

Taylor Harrison Gilbert

Qigen Ji

Kenneth Waters

Mrinal Agarwal

Daniel M Trietsch

Christopher D Guichet

Jaime G Chavez Ruiz Garza

Robert Ubo Liu

Christopher E Balcells

Chen Zheng

Alexander Joshua Wiens

Lukas Polok

Alexander L Jackson

Ramon Villar Ramirez

Ozhan Turgut

Mehrad Tavakoli

Theodore Lao

Performing a combination localization technique includes determining a target localization parameter, selecting a combination localization technique in accordance with the target localization parameter, including a first localization technique associated with a first power error time profile, and a second localization technique associated with a second power error time profile. A device location is determined using the first localization technique for a first time period in accordance with the first power error time profile, and an updated device location is determined using the second localization technique in response to a triggering condition. A further updated device location is determined using the first localization technique following the first time period based on the updated device location. At least one of a combined energy value and a combined maximum error rate for the combination localization technique satisfies the target localization parameter.

Dynamic and intermittent localization

A modular electronic device system that can include a computing device in electronic communication with an input device. Various types of sensor contained in either or both of the computing device and input device are used to determine orientation and hinge angle between the computing device and input device. Input settings can be changed according to the data from the various sensors. The input device can also include an elongated tail that is configured to attach to the computing device. The elongated tail can allow multiple physical configurations for ease of use.

Keyboard accessory for electronic device

The present disclosure relates to methods and systems of determining swimming metrics of a user during a swimming session. The method can include receiving, by a processor circuit of a user device, motion information from one or more motion sensors of the user device; determining, by the processor circuit using the motion information, a first set of rotational data of the user device, wherein the first set of rotational data is expressed in a first frame of reference; converting, by the processor circuit, the first set of rotational data into a second set of rotational data, wherein the second set of rotational data is expressed in a second frame of reference; determining, by the processor circuit, one or more swimming metrics of the user; and outputting the one or more swimming metrics.

Systems and methods for determining swimming metrics

Embodiments are disclosed for head tracking state detection based on correlated motion of a source device and a headset communicatively coupled to the source device. In an embodiment, a method comprises: obtaining, using one or more processors of a source device, source device motion data from a source device and headset motion data from a headset; determining, using the one or more processors, correlation measures using the source device motion data and the headset motion data; updating, using the one or more processors, a motion tracking state based on the determined correlation measures; and initiating head pose tracking in accordance with the updated motion tracking state.

Head tracking correlated motion detection for spatial audio applications

Embodiments are disclosed for head dimension estimation for spatial audio applications. In an embodiment, a method comprises: obtaining, using one or more processors of an audio headset worn on a user's head, acceleration samples and rotation rate samples over a specified time window while the user rotates their head, the acceleration samples and rotation rate samples measured using motion sensors in the headset; determining a function that relates the acceleration samples to the rotation rate samples; comparing the function to a plurality of reference functions, where each reference function corresponds to a different head dimension in a nominal range of head dimensions; and estimating a dimension of the user's head based on the comparing.

Head dimension estimation for spatial audio applications

Systems, methods, devices and computer-readable storage mediums are disclosed for correcting a compass view using map data. In an implementation, a method comprises: receiving, by one or more sensors of a mobile device, sensor data; determining, by a processor of the mobile device, compass offset data for a compass view based on the sensor data and map data; determining, by the processor, a corrected compass view based on the compass offset data; and presenting, by the processor, the corrected compass view.

Correcting compass view using map data

Location mapping and navigation user interfaces may be generated and presented via mobile computing devices. A mobile device may detect its location and orientation using internal systems, and may capture image data using a device camera. The mobile device also may retrieve map information from a map server corresponding to the current location of the device. Using the image data captured at the device, the current location data, and the corresponding local map information, the mobile device may determine or update a current orientation reading for the device. Location errors and updated location data also may be determined for the device, and a map user interface may be generated and displayed on the mobile device using the updated device orientation and/or location data.

Mobile device navigation system

In an embodiment, a method comprises: estimating a first gravity direction in a source device reference frame for a source device; estimating a second gravity direction in a headset reference frame for a headset; estimating a rotation transform from the headset frame into a face reference frame using the first and second estimated gravity directions, a rotation transform from a camera reference frame to the source device reference frame, and a rotation transform from the face reference frame to the camera reference frame; estimating a relative position and attitude using source device motion data, headset motion data and the rotation transform from the headset frame to the face reference frame; using the relative position and attitude to estimate a head pose; and using the estimated head pose to render spatial audio for playback on the headset.

Head to headset rotation transform estimation for head pose tracking in spatial audio applications

Ear buds may have optical proximity sensors and accelerometers. Control circuitry may analyze output from the optical proximity sensors and the accelerometers to identify a current operational state for the ear buds. The control circuitry may also analyze the accelerometer output to identify tap input such as double taps made by a user on ear bud housings. Samples in the accelerometer output may be analyzed to determine whether the samples associated with a tap have been clipped. If the samples have been clipped, a curve may be fit to the samples. Optical sensor data may be analyzed in conjunction with potential tap input data from the accelerometer. If the optical sensor data is ordered, a tap input may be confirmed. If the optical sensor data is disordered, the control circuitry can conclude that accelerometer data corresponds to false tap input associated with unintentional contact with the housing.

Wireless ear buds

A method for calibrating a magnetometer of an electronic device can include detecting a change in a magnetism of the electronic device, collecting a first magnetic field data from the magnetometer at sampling frequency of at least 1 hertz, generating an elliptical calibration model based at least partially on the collected first magnetic field data, collecting a second magnetic field data from the magnetometer, and fitting the collected second magnetic field data to a sphere using the elliptical calibration model.

In-field soft magnetic distortion hardware compensation

Systems and methods of analyzing a user's motion during a swimming session are described. One or more motions sensors can collect motion data of the user. A processor circuit can make motion analysis based on the motion data. The processor circuit can determine if the user's arm swing is a genuine swim stroke. The processor circuit can also determine whether the user is swimming or turning. The processor circuit can also classify the user's swim stroke style. The processor circuit can also determine the user's swim stroke phase. The processor circuit can also determine the user's stroke orbit consistency.

Systems and methods of swimming analysis

The present disclosure relates to a system and method of detecting activity by a wheelchair user. In one aspect, a method comprises collecting motion data of a user device located on an appendage of the user; detecting, by a processor circuit, that one or more activities by the wheelchair user occurred based on the motion data; calculating, by a processor circuit, an energy expenditure by the user based the one or more activities by the wheelchair user occurred; and outputting, by a processor circuit, the energy expenditure estimation.

Detecting activity by a wheelchair user

A system and method for improving the accuracy of a user device when generating map/navigation information for display to a user, comprising: obtaining compass heading from a magnetometer of the user device located within a vehicle; adjusting the compass heading based on a mount angle of the user device within the vehicle; obtaining location data from a location sensor of the user device; determining if a course of the vehicle can be reliably determined from the location data; if the course of the vehicle cannot be reliably determined from the location data, determining the orientation of the vehicle using the compass heading but not the course; if the course of the vehicle can be reliably determined from the location data, calculating a course of the vehicle based on the location data and determining the orientation of the vehicle using the course; generating, by a processor, first map/navigation information using the orientation of the vehicle; and displaying, by a processor, the first map/navigation information to the user.

Determining vehicle orientation for enhanced navigation experience

Growing community of inventors

Oakland, CA, United States of America

Adam S Howell