Abstract: Digital signal processing circuitry, in operation, determines, based on accelerometer data, a carry-position of a device. Double-tap detection parameters are set using the determined carry-position. Double-taps are detected using the set double-tap detection parameters. In response to detection of a double-tap, control signals, such as a flag or an interrupt signal, are generated and used to control operation of the device. For example, a device may enter a wake mode of operation in response to detection of a double-tap.

Abstract: A portable device includes one or more memories and travel mode control circuitry coupled to the one or more memories. The travel mode control circuitry, in operation, monitors motion data and detects a first travel state of the device based on the monitored motion data and an acceleration profile. When the first travel state of the device is detected, motion data and pressure data are monitored to detect a transition from the first travel state to a second travel state of the device. When the transition to the second travel state of the device is detected, one or more control signals are generated to cause the device to enter a first travel mode of operation.

Abstract: A portable device includes one or more memories and travel mode control circuitry coupled to the one or more memories. The travel mode control circuitry, in operation, monitors motion data and detects a first travel state of the device based on the monitored motion data and an acceleration profile. When the first travel state of the device is detected, motion data and pressure data are monitored to detect a transition from the first travel state to a second travel state of the device. When the transition to the second travel state of the device is detected, one or more control signals are generated to cause the device to enter a first travel mode of operation.

Abstract: A device including microelectromechanical systems (MEMS) sensors is used in dead reckoning in conditions where Global Positioning System (GPS) signals or Global Navigation Satellite System (GNSS) signals are lost. The device is capable of tracking the location of the device after the GPS/GNSS signals are lost by using MEMS sensors such as accelerometers and gyroscopes. By calculating a misalignment angle between a sensor frame of the device with either the movement direction of the vehicle or the walking direction of a pedestrian using the MEMS sensors, the device can accurately calculate the location of a user of the device even without the GPS/GNSS signals. Accordingly, a device capable of tracking the location of a pedestrian and a user riding in a vehicle without utilizing GPS/GNSS signals can be provided.

Abstract: A device including microelectromechanical systems (MEMS) sensors are used in dead reckoning in conditions where Global Positioning System (GPS) signals or Global Navigation Satellite System (GNSS) signals are lost. The device is capable of tracking the location of the device after the GPS/GNSS signals are lost by using MEMS sensors such as accelerometers and gyroscopes. By calculating a misalignment angle between a forward axis of a sensor frame of the device and a forward axis of a vehicle frame using the data received from the MEMS sensors, the device can accurately calculate the location of a user or the vehicle of the device even without the GPS/GNSS signals. Accordingly, a device capable of tracking the location of the user riding in the vehicle in GPS/GNSS signals absent environment can be provided.

Abstract: A system may include a motion sensor configured to generate a motion signal in response to a movement of an electronic device, and at least one feature detection circuit configured to determine at least one metric based on the motion signal. The system may further include a classifying circuit configured to determine whether the electronic device is in contact with a human body based on the at least one metric.

Abstract: A portable device includes one or more memories and travel mode control circuitry coupled to the one or more memories. The travel mode control circuitry, in operation, monitors motion data and temperature data to detect a first travel state of the device. When the first travel state of the device is detected, motion data and pressure data are monitored to detect a transition from the first travel state to a second travel state of the device. When the transition to the second travel state of the device is detected, one or more control signals are generated to cause the device to enter a first travel mode of operation.

Abstract: In general, the invention relates to an algorithm and process for automated and/or continuous calibration of magnetic sensor, for example such as a sensor installed in a mobile positioning system handset. According to certain aspects, the calibration process can use the normal motion of the handset such that all measurement data from the three orthogonal axes of sensor when exposed to Earth's magnetic field is collected. According to still further aspects, the process includes fitting measurement data to an ellipsoid that characterizes the actual magnetic field measurements from a magnetic sensor, so that anomalies such as hard iron effect, soft iron effect and scale factors can be extracted and/or corrected by comparison to a sphere represented by magnetic field data from a model at the sensor's location.

Abstract: Digital signal processing circuitry, in operation, determines, based on accelerometer data, a carry-position of a device. Double-tap detection parameters are set using the determined carry-position. Double-taps are detected using the set double-tap detection parameters. In response to detection of a double-tap, control signals, such as a flag or an interrupt signal, are generated and used to control operation of the device. For example, a device may enter a wake mode of operation in response to detection of a double-tap.

Abstract: A portable device includes one or more memories and travel mode control circuitry coupled to the one or more memories. The travel mode control circuitry, in operation, monitors motion data and temperature data to detect a first travel state of the device. When the first travel state of the device is detected, motion data and pressure data are monitored to detect a transition from the first travel state to a second travel state of the device. When the transition to the second travel state of the device is detected, one or more control signals are generated to cause the device to enter a first travel mode of operation.

Abstract: The present invention relates generally to position determination, and more particularly to methods and apparatuses to determine the walking direction (heading of a user) using MEMS inertial sensors commonly found in mobile devices such as cellphones. According to some aspects, the invention includes a methodology to allow the walking angle to be determined dynamically. In embodiments, the methodology includes pattern matching accelerometer measurement data to a reference acceleration pattern.

Abstract: A method includes acquiring magnetic data from a magnetometer, processing the magnetic data to perform robust calibration, and generating optimum calibration parameters using a calibration status indicator. To that end, the method includes generating a calibration status indicator as a function of time elapsed since a last calibration and variation in total magnetic field in previously stored magnetic data, detecting anomalies, and extracting a sparse magnetic data set using comparison between the previously stored magnetic data and the magnetic data. Calibration parameters are generated for the magnetometer using a calibration method as a function of the magnetic data set. The calibration parameters are stored based on performing a validation and stability check on the calibration parameters, and weighted with the previously stored calibration parameters to produce weighted calibration parameters.

Abstract: A system may include a motion sensor configured to generate a motion signal in response to a movement of an electronic device, and at least one feature detection circuit configured to determine at least one metric based on the motion signal. The system may further include a classifying circuit configured to determine whether the electronic device is in contact with a human body based on the at least one metric.

Abstract: A method includes acquiring magnetic data from a magnetometer, processing the magnetic data to perform robust calibration, and generating optimum calibration parameters using a calibration status indicator. To that end, the method includes generating a calibration status indicator as a function of time elapsed since a last calibration and variation in total magnetic field in previously stored magnetic data, detecting anomalies, and extracting a sparse magnetic data set using comparison between the previously stored magnetic data and the magnetic data. Calibration parameters are generated for the magnetometer using a calibration method as a function of the magnetic data set. The calibration parameters are stored based on performing a validation and stability check on the calibration parameters, and weighted with the previously stored calibration parameters to produce weighted calibration parameters.

Abstract: A method and apparatus of detecting and using motion modes in a mobile device is described. Movement data is collected from an inertial motion unit (IMU) of the mobile device and compared to two or more sets of training data, each set of training data corresponding to a different motion mode. Then, a motion mode is determined to be the current mode of the mobile device on the results of the comparison. The motion mode is used by the mobile device in a variety of applications.

Abstract: In general, the invention relates to an algorithm and process for automated and/or continuous calibration of magnetic sensor, for example such as a sensor installed in a mobile positioning system handset. According to certain aspects, the calibration process can use the normal motion of the handset such that all measurement data from the three orthogonal axes of sensor when exposed to Earth's magnetic field is collected. According to still further aspects, the process includes fitting measurement data to an ellipsoid that characterizes the actual magnetic field measurements from a magnetic sensor, so that anomalies such as hard iron effect, soft iron effect and scale factors can be extracted and/or corrected by comparison to a sphere represented by magnetic field data from a model at the sensor's location.

Abstract: In general, the invention relates to an algorithm and process for automated and/or continuous calibration of magnetic sensor, for example such as a sensor installed in a mobile positioning system handset. According to certain aspects, the calibration process can use the normal motion of the handset such that all measurement data from the three orthogonal axes of sensor when exposed to Earth's magnetic field is collected. According to still further aspects, the process includes fitting measurement data to an ellipsoid that characterizes the actual magnetic field measurements from a magnetic sensor, so that anomalies such as hard iron effect, soft iron effect and scale factors can be extracted and/or corrected by comparison to a sphere represented by magnetic field data from a model at the sensor's location.

Abstract: The present invention relates generally to position determination, and more particularly to methods and apparatuses to determine the walking direction (heading of a user) using MEMS inertial sensors commonly found in mobile devices such as cellphones. According to some aspects, the invention includes a methodology to allow the walking angle to be determined dynamically. In embodiments, the methodology includes pattern matching accelerometer measurement data to a reference acceleration pattern.

Abstract: Methods and apparatuses for estimating a user's altitude with respect to the mean sea level are provided. According to some aspects, the present invention is able to estimate altitude in both open sky as well as in degraded GPS signal environments such as dense urban canyon environments where GPS performance is affected by fewer available satellites and/or multipath error. According to other aspects, the present invention uses data from a pressure sensor to estimate altitude, either with or without the use of GPS aiding data. According to further aspects, estimated altitude is integrated with other types of dead reckoning data to provide user context detection pertaining to changes of altitude.

Abstract: In general, the invention relates to an algorithm and process for automated and/or continuous calibration of magnetic sensor, for example such as a sensor installed in a mobile positioning system handset. According to certain aspects, the calibration process can use the normal motion of the handset such that all measurement data from the three orthogonal axes of sensor when exposed to Earth's magnetic field is collected. According to still further aspects, the process includes fitting measurement data to an ellipsoid that characterizes the actual magnetic field measurements from a magnetic sensor, so that anomalies such as hard iron effect, soft iron effect and scale factors can be extracted and/or corrected by comparison to a sphere represented by magnetic field data from a model at the sensor's location.