Abstract: In some implementations, a mobile device may perform a plurality of signal strength measurements of a radio frequency (RF) signal transmitted by a satellite, wherein performing the plurality of signal strength measurements occurs over a period of time during which the mobile device is subject to a movement. The mobile device may determine, for each signal strength measurement of the plurality of signal strength measurements, a respective orientation of the mobile device corresponding to when the respective signal strength measurement was performed. The mobile device may determine a target orientation for the satellite-based communications based at least in part on a value of a particular signal strength measurement of the plurality of signal strength measurements and the respective orientation of the mobile device corresponding to the particular signal strength measurement. The mobile device may provide guidance for rotating the mobile device to the target orientation.

Abstract: In some implementations, a mobile device may determine a set of target orientations of the mobile device in which an antenna lobe of the mobile device is pointed toward the satellite, the set of target orientations based on: an orientation of the antenna lobe relative to the mobile device, and a location of the satellite relative to the mobile device. The mobile device may determine a current orientation of the mobile device. The mobile device may provide, at a user interface (UI) of the mobile device, guidance for rotating the mobile device from the current orientation to an orientation within the set of target orientations.

Abstract: Systems and techniques are described herein. For example, a process can include obtaining first sensor measurement data associated with a and second sensor measurement from one or more sensors. In some cases, the first measurement data can be associated with a first time and the second sensor measurement data can be associated with a second time occurring after the first time. In some aspects, the process includes determining that the first sensor measurement data and the second sensor measurement data satisfy at least one batching condition. In some examples, the process includes, based on determining that the first sensor measurement data and the second sensor measurement data satisfy the at least one batching condition, generating a sensor measurement data batch including the first sensor measurement data, the second sensor measurement data, and at least one target sensor measurement data. Ins examples the process includes outputting the sensor measurement data batch.

Abstract: Systems and techniques are described herein. For example, a process can include obtaining first sensor measurement data associated with a and second sensor measurement from one or more sensors. In some cases, the first measurement data can be associated with a first time and the second sensor measurement data can be associated with a second time occurring after the first time. In some aspects, the process includes determining that the first sensor measurement data and the second sensor measurement data satisfy at least one batching condition. In some examples, the process includes, based on determining that the first sensor measurement data and the second sensor measurement data satisfy the at least one batching condition, generating a sensor measurement data batch including the first sensor measurement data, the second sensor measurement data, and at least one target sensor measurement data. Ins examples the process includes outputting the sensor measurement data batch.

Abstract: In some implementations, a user equipment (UE) may determine an angular motion using at least one gyroscope. The UE may adjust at least one measurement from at least one sensor that is associated with the UE and used to measure relative position, based at least in part on the angular motion. Additionally, in some implementations, the UE may determine at least one distance between the at least one sensor and an estimated grip associated with the UE, and determine at least one translation associated with the at least one sensor based at least in part on the angular motion and the at least one distance. Accordingly, the UE may adjust the at least one measurement by offsetting the at least one measurement based at least in part on the at least one translation.

Abstract: Techniques described herein can address these and other issues by synchronizing the positioning of an adjustable lens in a camera assembly with the capture of an image frame by the image sensor and optimizing the position of the adjustable lens to reduce the amount of blur caused by translation of the camera assembly along a direction along the optical axis over the course of a frame. More specifically, techniques provide for moving the lens to a plurality of optimized positions, relative to the image sensor, over the course of a frame, to reduce motion blur in an image due to translation of the camera assembly in a direction of along the optical axis during the frame. Some embodiments may provide for “tight” synchronization in cases where the plurality of optimized positions are based on a time-dependent function that takes into account when each row of the image sensor is being exposed over the course of the frame.

Abstract: An optical image stabilization (OIS) of a camera system includes a controller, a lens and an image stabilizing arrangement (ISA), including one or both of an actuator and an image sensor. The controller is receives measured camera motion information from at least one motion sensor. Prior to acquisition of a succession of image frames, the controller determines a first desired start position, for the camera lens and/or the image sensor and, during acquisition of each respective image frame in the succession of image frames, causes the ISA to shift the camera lens and/or the image sensor so as to compensate for the measured camera motion. During a time interval that falls at least partially between a first and a second successive frame, the controller causes the ISA to relocate the camera lens and/or image sensor to a second desired start position for the second successive frame.

Abstract: Techniques described herein can address these and other issues by synchronizing the positioning of an adjustable lens in a camera assembly with the capture of an image frame by the image sensor and optimizing the position of the adjustable lens to reduce the amount of blur caused by translation of the camera assembly along a direction along the optical axis over the course of a frame. More specifically, techniques provide for moving the lens to a plurality of optimized positions, relative to the image sensor, over the course of a frame, to reduce motion blur in an image due to translation of the camera assembly in a direction of along the optical axis during the frame. Some embodiments may provide for “tight” synchronization in cases where the plurality of optimized positions are based on a time-dependent function that takes into account when each row of the image sensor is being exposed over the course of the frame.

Abstract: An optical image stabilization (OIS) of a camera system includes a controller, a lens and an image stabilizing arrangement (ISA), including one or both of an actuator mechanically coupled with the lens. The controller is configured to: (1) receive measured accelerometer data relating to camera orientation with respect to a gravitational field and causes the actuator to locate the lens at a gravity-adjusted neutral position; and/or (2) synchronously relocate, during a time interval that falls at least partially between a first successive frame and a second successive frame, one or both of the camera lens and an image sensor by controlling a slew motion of the camera lens or image sensor, monitor and controls one or more of exposure time, effective readout time, lens relocation time and frame period, and rebalance the auto exposure algorithm such that the exposure time is less than a critical value.

Abstract: Techniques described herein can address these and other issues by synchronizing the positioning of an adjustable lens in a camera assembly with the capture of an image frame by the image sensor and optimizing the position of the adjustable lens to reduce the amount of blur caused by translation of the camera assembly along a direction along the optical axis over the course of a frame. More specifically, techniques provide for moving the lens to a plurality of optimized positions, relative to the image sensor, over the course of a frame, to reduce motion blur in an image due to translation of the camera assembly in a direction of along the optical axis during the frame. Some embodiments may provide for “tight” synchronization in cases where the plurality of optimized positions are based on a time-dependent function that takes into account when each row of the image sensor is being exposed over the course of the frame.

Abstract: An optical image stabilization (OIS) of a camera system includes a controller, a lens and an image stabilizing arrangement (ISA), including one or both of an actuator mechanically coupled with the lens. The controller is configured to: (1) receive measured accelerometer data relating to camera orientation with respect to a gravitational field and causes the actuator to locate the lens at a gravity-adjusted neutral position; and/or (2) synchronously relocate, during a time interval that falls at least partially between a first successive frame and a second successive frame, one or both of the camera lens and an image sensor by controlling a slew motion of the camera lens or image sensor, monitor and controls one or more of exposure time, effective readout time, lens relocation time and frame period, and rebalance the auto exposure algorithm such that the exposure time is less than a critical value.

Abstract: An optical image stabilization (OIS) of a camera system includes a controller, a lens and an image stabilizing arrangement (ISA), including one or both of an actuator and an image sensor. The controller is receives measured camera motion information from at least one motion sensor. Prior to acquisition of a succession of image frames, the controller determines a first desired start position, for the camera lens and/or the image sensor and, during acquisition of each respective image frame in the succession of image frames, causes the ISA to shift the camera lens and/or the image sensor so as to compensate for the measured camera motion. During a time interval that falls at least partially between a first and a second successive frame, the controller causes the ISA to relocate the camera lens and/or image sensor to a second desired start position for the second successive frame.

Abstract: The positioning of an adjustable lens in a camera assembly is synchronized with the capture of an image frame by the image sensor and the position of the adjustable lens is optimized to reduce the amount of blur caused by rotation of the camera assembly over the course of a frame. More specifically, techniques provide for moving the lens to a plurality of optimized positions, relative to the image sensor, over the course of a frame, to reduce motion blur in an image due to pitch, yaw, and/or roll motion of the camera assembly during the frame. Some embodiments may provide for “tight” synchronization in cases where the plurality of optimized positions are based on a time-dependent function that takes into account the rows of the image sensor being exposed over the course of the frame.

Abstract: Step detection accuracy in mobile devices is increased by determining whether swinging is taking place. According to the invention, swinging can be detected using threshold detection, Eigen analysis, hybrid frequency analysis, and/or gyroscope-based analysis, for example. The determination that swinging is (or may be) occurring can impact how the mobile device reports detected steps for step detection. A count of missteps and/or a level of certainty, based on swing detection, can be provided with a step count.

Abstract: Disclosed are systems, devices, and methods for compensating for roll blur in an optical image stabilization (OIS) module. An OIS controller receives a selection for one or more areas of interest (AOI), each AOI associated with an image optimization point (IOP), and each IOP is associated with an X position (Xpos) and a Y position (Ypos). The OIS controller receives gyroscope data comprising X axis rotation data (Xgyro), Y axis rotation data (Ygyro) and Z axis rotation data (Zgyro). The OIS controller generates adjusted X axis rotation data (Xgyro_adj) and Y axis rotation data (Ygyro_adj), wherein Xgyro_adj and Ygyro_adj based on the Z axis rotation data and the one or more IOPs and adjusts lens shift gain on the basis of Xgyro_adj and Ygyro_adj and adjusts lens movement based at least in part on the lens shift gain.

Abstract: This disclosure provides devices, computer programs and methods for determining a motion direction. In one aspect, a mobile device includes one or more sensors configured to measure acceleration data in each of one or more directions. The mobile device also includes one or more processors and a memory storing instructions that, when executed by the one or more processors, implement a motion direction estimation module. The motion direction estimation module is configured to identify a use case for the mobile device based at least in part on the acceleration data. The motion direction estimation module also is configured to select a set of one or more parameters based on the identified use case. The motion direction estimation module is further configured to calculate an estimated motion direction of the mobile device based on the acceleration data and the respective set of parameters corresponding to the identified use case.

Abstract: 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 one embodiment, techniques are described for filtering data associated with a sensor coupled to a computing device, by receiving a signal from the sensor, detecting a change in a variability of a first signal parameter from a plurality of signal parameters from the signal, and adjusting, based at least in part on the detected change in the variability of the first signal parameter, at least one filter parameter of a filter used to filter a second signal parameter from the signal.

Abstract: This disclosure provides devices, computer programs and methods for determining a motion direction. In one aspect, a mobile device includes sensors for measuring acceleration data. The mobile device also includes a processor and a memory that implement a motion direction estimation module configured to determine a primary axis of motion. The motion direction estimation module also determines a motion direction along the primary axis. The determination includes fitting the acceleration data, or data derived therefrom, to a bimodal distribution. A first peak of the bimodal distribution corresponds to a first motion direction along the primary axis, and a second peak corresponds to a second motion direction opposite the first. The motion direction estimation module is configured to estimate the motion direction based on the bimodal distribution. In some implementations, the motion direction estimation module selects the motion direction corresponding to the higher of the peaks as the estimated motion direction.

Abstract: Embodiments of the present invention are directed toward providing refocusable image. Refocusable images are images that, after being captured, can be refocused, or adjusted to have a different focal length. The embodiments described herein can utilize a mobile user device, such as a smartphone, without the need for specialized hardware. A camera of the mobile device can be configured to take a series of images in succession over a short period of time in which the focal length of the camera is varied so that each image has a different focal length. An image stack is created by aligning the images, and images are processed to determine which image has the highest contrast (i.e., is in focus) for each region of the image stack. Embodiments can further include displaying a first image of the series of images.

Abstract: A mobile station improves its position estimate using dead reckoning and wireless signal distance estimates. The mobile station calculates a first round trip time (RTT) based distance at a first mobile station position between the first mobile station position and an access point. The mobile station moves to a second position and calculates a dead reckoning transition distance between the first mobile station position and the second mobile station position. The mobile station calculates a wireless signal transition distance between the first mobile station position and the second mobile station position based on a second RTT-based distance calculated between the access point and the second mobile station position. The mobile station computes an uncertainty associated with the first RTT-based distance and/or the second RTT-based distance using the dead reckoning transition distance and the wireless signal transition distance.