Abstract: An establishing method of semantic distance map for a moving device, includes capturing an image; obtaining a single-point distance measurement result of the image; performing recognition for the image to obtain a recognition result of each obstacle in the image; and determining a semantic distance map corresponding to the image according to the image, the single-point distance measurement result and the recognition result of each obstacle of in the image; wherein each pixel of the semantic distance map includes an obstacle information, which includes a distance between the moving device and an obstacle, a type of the obstacle, and a recognition probability of the obstacle.

Abstract: A display device includes first and second display modules and first and second turning pieces that include a first coupling piece, a first turning piece, a second turning piece, and a third turning piece, a second coupling piece and a guiding device. When the first and second display modules are switched between folding and unfolding, the first turning piece pivots relative to the first coupling piece and the second turning piece, and the third turning piece pivots relative to the second coupling piece and the second turning piece. When the display module is switched from folded to unfolded, the other side of the first display module relative to the side is pulled, the side of the first display module is guided by one end of the guiding device and slides to the other end, the first and second display modules are symmetrically unfolded with the side edge as the center.

Abstract: An input/output port circuit includes an input/output pad, a transistor, and a conductive routing wire. The transistor has a first connection terminal and a second connection terminal. The first connection terminal of the transistor is electrically connected to the input/output pad through a conductive connection wire, and the second connection terminal is electrically connected to another transistor. The conductive routing wire is electrically connected to the first terminal of the transistor. The conductive routing wire is configured to provide a serial resistance, thereby forcing a surge current to flow toward the another transistor when the surge current is inputted in the input/output circuit through the input/output pad.

Abstract: Methods and kits for diagnosing or predicting the risk of developing psoriatic arthritis in a subject in need of such diagnosis or risk prediction are provided, comprising measuring the expression level of one or more miRNAs disclosed herein in the sample of the subject, and compared the expression level of at least one of the miRNAs in the test sample with that of the psoriatic arthritis-free sample. Also provided are methods of treating psoriatic arthritis by reducing the expression level of at least one of the miRNAs disclosed herein.

Abstract: Methods and kits for diagnosing or predicting the risk of developing psoriatic arthritis in a subject in need of such diagnosis or risk prediction are provided, comprising measuring the expression level of one or more miRNAs disclosed herein in the sample of the subject, and compared the expression level of at least one of the miRNAs in the test sample with that of the psoriatic arthritis-free sample. Also provided are methods of treating psoriatic arthritis by reducing the expression level of at least one of the miRNAs disclosed herein.

Abstract: Methods and kits for diagnosing or predicting the risk of developing psoriatic arthritis in a subject in need of such diagnosis or risk prediction are provided, comprising measuring the expression level of one or more miRNAs disclosed herein in the sample of the subject, and compared the expression level of at least one of the miRNAs in the test sample with that of the psoriatic arthritis-free sample. Also provided are methods of treating psoriatic arthritis by reducing the expression level of at least one of the miRNAs disclosed herein.

Abstract: A convolution neural network (CNN) model is trained and pruned at a pruning ratio. The model is then trained and pruned one or more times without constraining the model according to any previous pruning step. The pruning ratio may be increased at each iteration until a pruning target is reached. The model may then be trained again with pruned connections masked. The process of pruning, retraining, and adjusting the pruning ratio may also be repeated one or more times with a different pruning target.

Abstract: A system and method for efficiently determining trajectory and/or location of a device (or user thereof). In a non-limiting example, rotation matrix coefficients may be analyzed in conjunction with stepping information to determine device trajectory and/or location. The system and method may, for example, be implemented in a MEMS sensor system, for example comprising a MEMS gyroscope, MEMS accelerometer, MEMS compass and/or MEMS pressure sensor.

Abstract: An inertial measurement system is disclosed. The inertial measurement system has an accelerometer processing unit that generates a calibrated accelerometer data. The inertial measurement system further includes a magnetometer processing unit generates a calibrated magnetometer data, and a gyroscope processing unit generates a calibrated gyroscope data. Using the calibrated accelerometer data, the calibrated magnetometer data, and the calibrated gyroscope data, the inertial measurement system generates a heading angle error indicative of the accuracy of the heading angle error.

Abstract: Methods and kits for diagnosing or predicting the risk of developing psoriatic arthritis in a subject in need of such diagnosis or risk prediction are provided, comprising measuring the expression level of one or more miRNAs disclosed herein in the sample of the subject, and compared the expression level of at least one of the miRNAs in the test sample with that of the psoriatic arthritis-free sample. Also provided are methods of treating psoriatic arthritis by reducing the expression level of at least one of the miRNAs disclosed herein.

Abstract: A system and method for efficiently determining trajectory and/or location of a device (or user thereof). In a non-limiting example, rotation matrix coefficients may be analyzed in conjunction with stepping information to determine device trajectory and/or location. The system and method may, for example, be implemented in a MEMS sensor system, for example comprising a MEMS gyroscope, MEMS accelerometer, MEMS compass and/or MEMS pressure sensor.

Abstract: An inertial measurement system is disclosed. The inertial measurement system has an accelerometer processing unit that generates a calibrated accelerometer data. The inertial measurement system further includes a magnetometer processing unit generates a calibrated magnetometer data, and a gyroscope processing unit generates a calibrated gyroscope data. Using the calibrated accelerometer data, the calibrated magnetometer data, and the calibrated gyroscope data, the inertial measurement system generates a heading angle error indicative of the accuracy of the heading angle error.

Abstract: A convolution neural network (CNN) model is trained and pruned at a pruning ratio. The model is then trained and pruned one or more times without constraining the model according to any previous pruning step. The pruning ratio may be increased at each iteration until a pruning target is reached. The model may then be trained again with pruned connections masked. The process of pruning, retraining, and adjusting the pruning ratio may also be repeated one or more times with a different pruning target.

Abstract: An inertial measurement system is disclosed. The inertial measurement system has an accelerometer processing unit that generates a calibrated accelerometer data. The inertial measurement system further includes a magnetometer processing unit generates a calibrated magnetometer data, and a gyroscope processing unit generates a calibrated gyroscope data. Using the calibrated accelerometer data, the calibrated magnetometer data, and the calibrated gyroscope data, the inertial measurement system generates a heading angle error indicative of the accuracy of the heading angle error.

Abstract: Systems and methods are disclosed for detecting when a magnetic anomaly may impact the quality of data being output by a magnetometer. A plurality of detection algorithms may be performed in parallel on the sensor data. Further, indication of a anomaly from one or a combination of the detection algorithms may cause the magnetometer data to have a reduced contribution in any sensor fusion operation or may be omitted from a sensor fusion operation as desired.

Abstract: A system and method for reliably counting user steps. Various aspects may, for example, comprise processing a plurality of frequency bands of at least one sensor signal to accurately count user steps. A plurality of filtered sensor signals may be formed by filtering a sensor signal with a plurality of band-pass filters from which a dominant filtered sensor signal may be selected. The selected dominant filtered sensor signal may then be used to count user steps. Further, a frequency band of a sensor signal may be selected such that if it is determined the user is not engaged in a non-stepping activity, user steps may be counted using the content of the signal in the selected frequency band. Still further, user steps may be counted using an identified dominant harmonic.

Abstract: Systems, methods, and apparatus for performing deduced reckoning navigation without a constraint relationship between orientation of a sensor platform and a direction of travel of an object are described herein. A sensor fusion component can be configured to receive data from sensors of a sensor platform coupled to a pedestrian; and generate world coordinate information based on the data. Further, a gait recognition component can be configured to record one or more walking patterns of the pedestrian in a training database; and determine whether the world coordinate information is associated with a walking pattern of the one or more walking patterns. Furthermore, a position estimation component can be configured to estimate a position of the pedestrian based on the world coordinate information if the world coordinate information is associated with the walking pattern, regardless of an orientation of the sensor platform with respect to the position of the pedestrian.

Abstract: Described herein is an intelligent remote controlling device (e.g. a mobile phone). The device can include a six-axis motion sensor to accurately track three dimensional hand motions. For example, the sensors can include a three-axis accelerometer and a three-axis gyroscope. The remote control device can also include a processing unit integrated with the motion sensors in a single module. The processing unit can convert data regarding the hand motion to data regarding a cursor motion for a cursor that will be displayed on a screen of an electronic device. The processing unit can be integrated with the motion sensors in a single module (e.g. an integrated circuit chip (IC)). The processing unit can include at least two modes of functionality corresponding to different types of hand motion: a one to one mode where the cursor directly tracks the hand motion and a non-linear mode that filters data from the motion sensors to eliminate hand jitter.

Abstract: A method, system and computer readable medium for calibrating an accelerometer in a portable device is disclosed. The method, system and computer readable medium comprises receiving data from the accelerometer, and providing accelerometer samples from the data based upon one or more selection rules that adaptively selects data that satisfy certain criteria. The method system and computer readable medium also includes fitting the accelerometer samples to a mathematical mode. The method system and computer readable medium further includes providing a bias of the accelerometer based upon a center of the mathematical model.

Abstract: Systems and methods are disclosed for storing a plurality of images with a portable device. Inertial sensor data from a sensor assembly associated with the portable device may be obtained as each image is captured, allowing determination of a motion of the portable device for each image. Each captured image and the corresponding determined motion of the portable device are stored.