Blackberry Corporation

Nathan Daniel Pozniak Buchanan

Robert George Oliver

Adam Louis Parco

Nazih Almalki

Christopher James Grant

Tennessee Carmel-Veilleux

Methods and devices for determining a timestamp that represents a time a sensor sample was generated are described. In one aspect, a method includes: obtaining a sampling rate estimate for the sensor; determining an expected sample time based on the sampling rate estimate; detecting a sensor sample and assigning a reporting time to the detected sensor sample, the reporting time representing the time when the sensor sample was detected; and determining the timestamp for the sensor sample based on the expected sample time and the reporting time.

Time stamping a sensor sample

A mobile device comprising a pressure sensor for collecting pressure data, a position-determining subsystem for generating location data including altitude data, and a processor operatively coupled to a memory to generate an atmospheric model based on the pressure data and the location data. In one implementation, the processor is configured to determine an Above Mean Sea Level (AMSL) altitude using a position-determining subsystem, determine a pressure altitude using the pressure sensor, calculate a difference between the pressure altitude and the AMSL altitude, and calculate a temperature at sea level based on the AMSL altitude and pressure altitude. In one implementation, the processor performs a linear regression on an equation AMSL altitude=offset+ScaleFactor*PressureAltitude to solve for the offset and the ScaleFactor, and then estimates the temperature at sea level as 1-ScaleFactor=(T&#x2212;15)/3. The model may be used to estimate ambient air temperature or weather conditions.

Generating an atmospheric model using one or more pressure-sensing mobile devices

Methods and devices for determining a noise variance of an axis of a gyroscope are described. In one aspect, the method includes: representing a plurality of gyroscope readings for the axis in a histogram, the histogram including a plurality of bins associated with respective ranges; determining a bias for the axis of the gyroscope by identifying a concentration of the gyroscope readings within the histogram; and determining a noise variance for the axis of the gyroscope based on the histogram and based on the identified concentration of gyroscope readings.

Method and devices for determining noise variance for gyroscope

Described are methods and systems for controlling sensor use on an electronic device, the electronic device having a first sensor defining at least one first sensor axis, the method comprising: detecting a first sensor reading; determining an orientation of the electronic device; and, disabling the detection of the first sensor reading in respect an identified first sensor axis when the first sensor reading in respect of the identified first sensor axis is substantially not expected to change for at least a predetermined amount of time.

Controlling sensor use on an electronic device

In one aspect, the present disclosure provides a processor-implemented method of determining a bias for an axis of a gyroscope. The method includes: obtaining a temperature reading; maintaining a plurality of bias estimators for the axis, each bias estimator associated with a temperature and configured to estimate a bias at the associated temperature, the plurality of bias estimators including a number of short term bias estimators for estimating biases for recently obtained temperatures and a number of long term bias estimators for estimating biases for temperatures obtained over a comparatively longer period of time; and determining a bias for the axis of the gyroscope based on the temperature reading and one or more of the bias estimators.

Method and devices for temperature-based determination of gyroscope bias

Disclosed are methods and systems for stabilizing orientation values of an electronic device, the orientation values representing an orientation of the electronic device, the method comprising: obtaining first sensor readings from a first sensor; obtaining second sensor readings from a second sensor; evaluating the first sensor readings and the second sensor readings to determine whether the electronic device is stationary; locking the orientation values when the electronic device is stationary; collecting at least one of further first sensor readings and further second sensor readings while the orientation values are locked; determining whether the orientation of the electronic device is changing by more than a threshold amount based on one or more of the further first sensor readings and the further second sensor readings; and unlocking the orientation values for updating based on the further sensor readings when the orientation of the electronic device is changing by more than the threshold amount.

Stabilizing orientation values of an electronic device

Methods and electronic devices for determining orientation are described. In one aspect, a processor-implemented method of determining a corrected orientation of a gyroscope on an electronic device includes: generating a gyroscope reading using the gyroscope; determining, by the processor, a first orientation estimate based on the gyroscope reading and a past corrected orientation; determining, by the processor, whether the gyroscope was saturated when the gyroscope reading was generated; adjusting, by the processor, a saturation correction learning rate for the gyroscope based on the result of the determination of whether the gyroscope was saturated; and calculating, by the processor, the corrected orientation based on the first orientation estimate, a second orientation estimate and the saturation correction learning rate.

Methods and devices for determining orientation

A method and system are provided for determining a magnetic field using a mobile device. The method includes determining location information of the mobile device, obtaining magnetic field data based on the location information, determining orientation information of the mobile device and applying the orientation information to the magnetic field data to compute a magnetic field corresponding to the orientation of the mobile device.

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Waterloo, Canada

Nathan Daniel Pozniak Buchanan