Disclosed is an electronic device including a display, a touch recognition sensor that recognizes a touch input on the display; a fingerprint recognition sensor that recognizes a fingerprint input on the display, and a processor coupled to the display, the touch recognition sensor, and the fingerprint recognition sensor, wherein the processor is configured to activate the touch recognition sensor, display at least one user interface that receives the fingerprint input on a fingerprint recognition area of the display, activate at least a portion of the fingerprint recognition sensor, and selectively deactivate a portion of the touch recognition sensor corresponding to the activated portion of the fingerprint recognition sensor.

The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.

A method of generating one or more new digital images using an original digitally-acquired image including a selected image feature includes identifying within a digital image acquisition device one or more groups of pixels that correspond to the selected image feature based on information from one or more preview images. A portion of the original image is selected that includes the one or more groups of pixels. The technique includes automatically generating values of pixels of one or more new images based on the selected portion in a manner which includes the selected image feature within the one or more new images.

A device and a method are provided. The device includes a communication module, a memory, and a processor. The processor is configured to acquire position information of a vehicle via the communication module, determine whether high definition (HD) map information corresponding to the position information is acquired, display three-dimensional (3D) navigation information in augmented reality by using the HD map information when the HD map information is acquired, and display two-dimensional (2D) navigation information in augmented reality when the HD map information is not acquired. The 3D navigation information is information in which virtual 3D graphic information for driving guidance is spatially matched to and displayed on an actual object in the real world by using the HD map information, and the 2D navigation information is information in which virtual 2D graphic information for driving guidance is planarly matched to and displayed on an actual object in the real world.

A method, a device, and a system for processing information of a vehicle are disclosed. In the embodiments, information about a connected vehicle is acquired, and a display image of a virtual vehicle is generated; driving information of the connected vehicle is acquired; whether the vehicle is currently in a driving state is determined according to the driving information; and when the connected vehicle is in the driving state, an orientation of a head of the virtual vehicle is adjusted to keep consistency with an orientation of a head of the connected vehicle; and when the connected vehicle is in a non-driving state, an orientation of a head of the virtual vehicle is adjusted towards a location of the connected vehicle. The present disclosure can feed back a vehicle condition in real time, dynamically and truly, and position a vehicle more accurately.

Systems, methods, and devices for determining a temporal duration of a rest period using motion data are described herein. In one exemplary embodiment, one or more data filters are applied to received motion data to generate one or more data sets of the motion data. The motion data represents an amount of activity experienced by an individual over the course of a period of time, such as one day. An iterative process is performed to identify a starting point and an ending point of a rest period using the generated data set(s). After the starting and ending points are identified, a temporal difference between the starting and ending points is calculated, and a total temporal duration of the rest period is determined.

Provided is an information processing apparatus, including a position estimating unit configured to estimate a position of a second imaging apparatus on the basis of a first captured image captured by a first imaging apparatus whose position is specified and a second captured image captured at a time corresponding to the first captured image by the second imaging apparatus serving as a position estimation target.

According to a first aspect of the present disclosure, a fingerprint sensing system is provided, comprising: a sensing unit configured to measure a physical property of a sensing cell and to produce a voltage in dependence on said physical property; and an analog-to-digital converter configured to convert said voltage into a digital signal, wherein said analog-to-digital converter implements a non-linear conversion function. According to a second aspect of the present disclosure, a corresponding fingerprint sensing method is conceived. According to a third aspect of the present disclosure, a corresponding computer program product is provided.

Disclosed is a system and method for a capacitive sensing device. The method includes transmitting a stimulation signal to a driving channel of the capacitive sensing device. The stimulation signal includes a plurality of sub-stimulation signals. Each of the sub-stimulation signals is characterized by an amplitude and a frequency. The frequencies of the sub-stimulation signals are orthogonal. The method further includes receiving a charge signal from a sensing channel of the capacitive sensing device. The charge signal is generated from the stimulation signal through a capacitance between the driving channel and the sensing channel. The method further includes detecting, from the charge signal, a plurality of sub-charge signal amplitudes at the frequencies of the sub-stimulation signals, and reporting a value about the capacitance from the sub-charge signal amplitudes. The method benefits the capacitive sensing device for increased noise immunity, reduced dynamic range, and reduced power consumption.

A demarcation line recognition apparatus (10) is applied to a vehicle in which an imaging apparatus (21) that captures an image of an area ahead of the vehicle is mounted. The demarcation line recognition apparatus (10) includes: a demarcation line recognizing unit (11) that recognizes a traveling demarcation line that demarcates a traveling lane of the vehicle based on an image acquired by the imaging apparatus (21); and a demarcation line estimating unit (12) that estimates a shape of the traveling demarcation line in a range that cannot be recognized by the demarcation line recognizing unit (11), based on the traveling demarcation line recognized by the demarcation line recognizing unit (11). The demarcation line recognition apparatus (10) determines a reliability level of the traveling demarcation line recognized by the demarcation line recognizing unit (11) and invalidates the estimation of the shape of the traveling demarcation line by the demarcation line estimating unit (12) based on the determination result.