Abstract: An interactive exercise apparatus for guiding a user to perform an exercise includes a display device and a detecting device. The display device is configured to display video imagery which shows an instructor image and at least one motion check image. The motion check image corresponds to a predetermined one of a plurality of body parts of the user, which has a motion guide track and a motion achievement evaluation. The detecting device is configured to detect displacement of the body parts. The motion guide track is displayed on a predetermined position of the video imagery with a predetermined track pattern, corresponding to a movement path of the predetermined body part when the user follows movements demonstrated by the instructor image to perform the exercise. The motion achievement evaluation indicates a matching degree determined according to the displacement of the predetermined body part detected by the detecting device.

Abstract: In some embodiments, the present disclosure relates to an integrated chip that includes a first interconnect dielectric layer arranged over a substrate. An interconnect wire extends through the first interconnect dielectric layer, and a barrier structure is arranged directly over the interconnect wire. The integrated chip further includes an etch stop layer arranged over the barrier structure and surrounds outer sidewalls of the barrier structure. A second interconnect dielectric layer is arranged over the etch stop layer, and an interconnect via extends through the second interconnect dielectric layer, the etch stop layer, and the barrier structure to contact the interconnect wire.

Abstract: A method for adjusting point cloud density, an electronic device, and a storage medium are provided. In the method an initial point cloud map and a distance determination threshold of a robot are obtained. A plurality of target regions in the initial point cloud map are determined, and an environmental complexity value of each target region is calculated. The initial point cloud map is divided into submaps, and a point cloud density coefficient of each submap is determined. The initial point cloud map is adjusted according to the point cloud density coefficient and the target point cloud map is obtained. By utilizing such method, adjustment efficiency and an accuracy of point cloud density can be improved.

Abstract: A method for manufacturing a semiconductor device includes forming a first dielectric layer over a semiconductor fin. The method includes forming a second dielectric layer over the first dielectric layer. The method includes exposing a portion of the first dielectric layer. The method includes oxidizing a surface of the second dielectric layer while limiting oxidation on the exposed portion of the first dielectric layer.

Abstract: A method is provided, including following operations: activating a first word line to couple a first bit line with a second bit line to form a first conductive loop through a first transistor having a first terminal coupled to the first bit line and a second transistor having a first terminal coupled to the second bit line, wherein second terminals of the first and second transistors are coupled together; activating a second word line to couple a third bit line with a fourth bit line to form a second conductive loop, wherein the first and second word lines are disposed below the first to fourth bit lines; and identifying that the first conductive loop, the second conductive loop, or the combinations thereof is short-circuited or open-circuited.

Abstract: A memory device is provided, including a memory array, a driver circuit, and recover circuit. The memory array includes multiple memory cells. Each memory cell is coupled to a control line, a data line, and a source line and, during a normal operation, is configured to receive first and second voltage signals. The driver circuit is configured to output at least one of the first voltage signal or the second voltage signal to the memory cells. The recover circuit is configured to output, during a recover operation, a third voltage signal, through the driver circuit to at least one of the memory cells. The third voltage signal is configured to have a first voltage level that is higher than a highest level of the first voltage signal or the second voltage signal, or lower than a lowest level of the first voltage signal or the second voltage signal.

Abstract: The present disclosure provides a time delay integration (TDI) sensor using a rolling shutter. The TDI sensor includes multiple pixel columns. Each pixel column includes multiple pixels arranged in an along-track direction, wherein two adjacent pixels or two adjacent pixel groups in every pixel column have a separation space therebetween. The separation space is equal to a pixel height multiplied by a time ratio of a line time difference of the rolling shutter and a frame period, or equal to a summation of at least one pixel height and a multiplication of the pixel height by the time ratio of the line time difference and the frame period. The TDI sensor further records defect pixels of a pixel array such that in integrating pixel data to integrators, the pixel data associated with the defect pixels is not integrated into corresponding integrators.

Abstract: A mobile device includes a housing, a first radiation element, a second radiation element, a third radiation element, a first switch element, and a second switch element. The first radiation element has a first feeding point. The second radiation element has a second feeding point. The first radiation element, the second radiation element, and the third radiation element are distributed over the housing. The first switch element is closed or open, so as to selectively couple the first radiation element to the third radiation element. The second switch element is closed or open, so as to selectively couple the second radiation element to the third radiation element. An antenna structure is formed by the first radiation element, the second radiation element, and the third radiation element.

Abstract: An electronic device includes a host, a display, a sliding plate, and a keyboard. The host has an operating surface. The display is pivoted to the host. The sliding plate is slidably disposed in the host, where the display is mechanically coupled to the sliding plate, and the sliding plate includes a plat portion and a recess portion that are arranged side by side. The keyboard is integrated to the host. The keyboard includes a key structure, where the key structure includes a key cap and a reciprocating element, and the key cap is exposed from the operating surface of the host. The reciprocating element is disposed between the key cap and the sliding plate and has a first end connected to the key cap and a second end contacting the sliding plate. The second end is located on a sliding path of the plat portion and the recess portion.

Abstract: A memory device is provided, including a first word line driver configured to activate a first word line. The first word line driver includes a first transistor configured to operate in response to a first control signal having a first voltage level to transmit a first word line voltage to a first word line and a second transistor coupled between the first word line and a supply voltage terminal and configured to be turned off in response to a second control signal having a second voltage level different from the first voltage level.

Abstract: The present application relates to image processing and provides a method for training an image depth recognition model, a method for recognizing image depth, and an electronic device. The method obtains static objects, dynamic objects, a dynamic position by performing an instance segmentation on the first image and the second image. A target dynamic object and a feature dynamic object are selected from the dynamic objects and the dynamic objects. A target image and a target projection image are generated according to the target dynamic object and the feature dynamic object. A depth recognition model is trained based on the target image, and the target projection image. The to-be-recognized image is recognized by the depth recognition model.

Abstract: An image depth recognition method held in a storage medium and running in a disclosed electronic device acquires images to be recognized and two original images. An original image is recognized through a depth recognition network to obtain an initial depth image, and a pose absolute value matrix is generated based on the two processed original images and a pose network, the pose network and the initial depth image generating an initial projection image. The processed two original images are recognized according to the pose absolute value matrix and the preset threshold matrix and adjusted based on errors between the initial depth image, the target image, and the target projection image. The depth recognition network obtains a depth recognition model, and the depth information of the image can be recognized. The method can improve the accuracy of the depth recognition of the image.

Abstract: A method for managing driving applied in an electronic device which assesses distances to objects in a path of autonomous driving obtains RGB images of a scene in front of a vehicle, processes the RGB images based on a trained depth estimation model, and obtain depth images corresponding to the RGB images. The depth images are converted to 3D point cloud maps, 3D regions of interest from the 3D point cloud maps are determined according to a size of the vehicle, and the 3D regions of interest are converted into 2D regions of interest according to internal parameters of a camera. The 2D regions of interest are analyzed for obstacles. Driving continues when the 2D regions of interest have no obstacles, the vehicle is controlled to issue an alarm when obstacles are discovered.

Abstract: An assistance method of safe driving applied in a vehicle-mounted electronic device obtains RGB images of scene in front of a vehicle, processes the RGB images by a trained depth estimation model, obtains depth images and converts the depth images into three-dimensional (3D) point cloud maps, determines 3D regions of interest therein, and obtains position and size information of objects in the 3D regions of interest. When the position information satisfies a first preset condition and/or the size information satisfies a second preset condition, the presence of obstacles in the 3D regions of interest is determined and controls the vehicle to issue an alarm. When the position information does not satisfy the first preset condition and/or the size information does not satisfy the second preset condition, the 3D regions of interest are determined as obstacle-free, and permitting the vehicle to continue driving.

Abstract: A method for assisting safer riving applied in a vehicle-mounted electronic device obtains RGB images of a scene in front of a vehicle when engine is running, processes the RGB images by a trained depth estimation model, obtains depth images and converts the depth images to three-dimensional (3D) point cloud maps. A curvature of the driving path of the vehicle is calculated, and 3D regions of interest of the vehicle are extracted from the 3D point cloud maps according to a size of the vehicle and the curvature or deviation from straight ahead. The 3D regions of interest are analyzed for presence of obstacles. When no obstacles are present, the vehicle is controlled to continue driving, when presence of at least one obstacle is determined, an alarm is issued.

Abstract: A device includes a substrate, a first sense amplifier disposed on the substrate, a first word line driver disposed on the substrate and situated adjacent the first sense amplifier in the x-direction, and a first memory array disposed above the first sense amplifier and above the first word line driver in the z-direction. A plurality of first conductive segments extend alternately in the x-direction and the y-direction, and are disposed between the first memory array and the first sense amplifier and configured to electrically connect the first sense amplifier to a first bit line of the first memory array. A plurality of second conductive segments extend alternately in the x-direction and the y-direction, and are disposed between the first memory array and the first word line driver and configured to electrically connect the first word line driver to a first word line of the first memory array.

Abstract: A single layer process is utilized to reduce swing effect interference and reflection during imaging of a photoresist. An anti-reflective additive is added to a photoresist, wherein the anti-reflective additive has a dye portion and a reactive portion. Upon dispensing the reactive portion will react with underlying structures to form an anti-reflective coating between the underlying structure and a remainder of the photoresist. During imaging, the anti-reflective coating will either absorb the energy, preventing it from being reflected, or else modify the optical path of reflection, thereby helping to reduce interference caused by the reflected energy.

Abstract: A method for obtaining depth images for improved driving safety applied in an electronic device processes first and immediately-following second images which have been captured and processes each to obtain two sets of predicted depth maps. The electronic device determines a transformation matrix of a camera between first and second images and converts the first predicted depth maps into first point cloud maps, and second predicted depth maps into second point cloud maps. The first point cloud maps are converted into third point cloud maps, and the second point cloud maps into fourth point cloud maps. First and fourth point cloud maps are matched and first and second error values are calculated, thereby obtaining a target deep learning network model. Images to be detected are input into the target deep learning network model and depth images are obtained.

Abstract: A method for identifying road vehicles or other objects which are in motion against those which are not moving applied in an in-vehicle device of an assisted vehicle which is being driven shoots a first image of a target vehicle and a second later image of the target vehicle, determines a first mask area of the target vehicle from the first image, and determines a second mask of the target vehicle from the second image based on an instance segmentation algorithm. An Intersection over Union (IoU) is calculated between the first mask area and the second mask area and a determination made as to whether a dynamic class object mask area of the target vehicle according to the IoU should be generated. A dynamic class object mask area of the target vehicle is generated when the target vehicle is found to be a moving vehicle.

Abstract: The present disclosure pertains to an apparatus and methods of an imaging device for obtaining images from the walls of luminal organs or a surgical cavity. The device is capable of passage through luminal organs or introduction into surgical cavities, and obtains images by rapidly scanning a focused light beam on the tissue to be imaged and receiving light from the tissue. The device comprises at least one mechanism for projecting a 2-dimensional (2-D) optical pattern, such as a 2-D scanner (508) or a 2-D optical array forming a closed loop scan pattern (506). The device comprises at least one other beam scanning mechanism, such as a rotary or angular scanner (510) such that cycloid scan pattern is formed on the surface to be scanned, and also has embodiments of focusing optics at different regimes of numerical aperture. The disclosure also describes methods for accurate image reconstruction with embodiments of hardware control and post-acquisition processing.