Abstract: Provided are a display method and apparatus, a smart wearable device, and a computer-readable storage medium, the display method being used on the smart wearable device, and the smart wearable device including at least two screen display regions and at least two corresponding audio collection units; when a user is wearing the smart wearable device, the screen display regions are not simultaneously in the same plane. The display method includes according to voice signals collected by all of the audio collection units, determining an audio collection unit nearest a sound source; turning on a screen display region corresponding to the audio collection unit nearest the sound source to display current content.

Abstract: A portable device for measuring an electrocardiogram (ECG) of a user. The portable device includes a first ECG sensor that is configured to touch a body of the user, and a processor. The processor is configured to receive a first ECG measurement at a first location on the body of the user, where the first ECG sensor is placed at the first location of the body; identify a first region of the heart of the user based on the first location; direct the user to move the portable device to a second location on the body of the user; receive a second ECG measurement at the second location on the body; and identify a second region of the heart of the user based on the second location.

Abstract: A display method and apparatus, a wearable device, and a computer-readable storage medium. The method is applied to the wearable device. The wearable device comprises an inertial sensor and at least two screen display areas; when a user wears the wearable device, the screen display areas are not located on the same plane at the same time. The method comprises: obtaining a target action of a user by means of measurement data collected by the inertial sensor; determining the screen display area corresponding to a sight range of the user according to the target action of the user; and lighting the screen display area to display the current content.

Abstract: A display method and apparatus, a wearable device, and a computer-readable storage medium are provided. The method is applied to the wearable device. The wearable device comprises at least two touchable screen display areas. The method comprises: displaying current content on a lightened screen display area; and adjusting the current content displayed on the lightened screen display area according to a touch event on another non-lightened screen display area. The reading and interaction processes of users do not conflict with each other.

Abstract: Measuring, using a wearable device, a blood pressure of a user includes extracting, using sensor data of the wearable device, features related to a pulse wave; determining a pulse transit time (PTT); scaling at least one of the features using the PTT to obtain a scaled feature; using the scaled feature as an input to a machine-learning (ML) model; and obtaining, using an output of the ML model, the blood pressure of the user.

Abstract: A method includes obtaining a baseline blood pressure at an initial time window; estimating a plurality of intermediate blood pressure change estimates, the intermediate blood pressure change estimates correspond to respective time windows that are subsequent to the initial time window; estimating a final blood pressure change estimate between the initial and final time windows; and obtaining the blood pressure by adding the baseline blood pressure to the final blood pressure change estimate. Estimating the final blood pressure includes estimating a first blood pressure change between the initial time window and the final time window; estimating a plurality of second blood pressure changes, each second blood pressure change is between a respective time window of the respective time windows and the final time window; and estimating the final blood pressure change estimate as a combination of the first blood pressure change and the plurality of second blood pressure changes.

Abstract: The present disclosure provides a noise detection method and a noise detection apparatus. The method includes: segmenting a collected photoplethysmography signal into a plurality of sub-signal segments; extracting a characteristic of each sub-signal segment; for each sub-signal segment, determining a self-similarity of the sub-signal segment in the photoplethysmography signal based on the characteristic of the sub-signal segment; and determining that the sub-signal segment is noise when the self-similarity is lower than a threshold.

Abstract: The present disclosure provides a wearable device, a signal processing method and a signal processing apparatus, the signal processing method is applied to the wearable device, the wearable device is provided with a biosensor and a motion detector group, and the signal processing method includes the following steps. The human physiological signal collected by the biosensor is acquired, the human physiological signal is divided into multiple signal frames, each of the multiple signal frames corresponds to the time range; for each signal frame, it is determined whether the user wearing the wearable device is in the body motion state according to the body motion signal collected by the motion detector group within the time range corresponding to the signal frame, and when the user wearing the wearable device is not in the body motion state, the signal frame is stored into the preset buffer.

Abstract: Physiological signals produced at a wearable device are compressed and mapped to detect a health condition of a user of the wearable device. Physiological signal data indicating a physical quality of the user of the wearable device is produced based on noisy data recorded using sensors of the wearable device. The physiological signal data is compressed at the wearable device using a dictionary defined at a server device. The server device receives and decompresses the compressed physiological signal data to produce denoised physiological signal data indicating the physical quality of the user of the wearable device. A change in a physiological state of the user of the wearable device is determined using the denoised physiological signal data and historical physiological data of the user of the wearable device. The health condition is detected based on the change in the physiological state of the user of the wearable device.

Abstract: A wearable device includes a processor and a lower module. The lower module includes a pressure sensor for detecting a mechanical movement of a skin that covers an artery. The mechanical movement of the skin is due to blood flow through the artery. The processor is configured to receive skin movement information from the movement sensor; calculate a pulse front velocity (PFV), which is a velocity of a blood wave as the blood wave passes under the pressure sensor; estimate a pulse wave velocity (PWV) using the PFV; and estimate the blood pressure using the PWV.

Abstract: A device is provided for adjusting brightness of a plurality of images each including a plurality of pixels. The device may include a memory configured to store instructions. The device may also include a processor configured to execute the instructions to determine overall luminance values of the images. The processor may also be configured to determine, from the images, a reference image and a reference overall luminance value based on the overall luminance values. The processor may further be configured to determine adjustment factors for the images based on the reference overall luminance value of the reference image, determine weighting factors for the pixels in an image to be adjusted, and adjust luminance values of the pixels in the image to be adjusted based on an adjustment factor for the image and the weighting factors for the pixels.

Abstract: A method includes: receiving sensor data representing a subject within a field of vision associated with respective ones of a plurality of modular cameras associated with a composite camera and one or more geo-spatial characteristics associated with respective ones of the plurality of modular cameras; determining an arrangement of the composite camera based on the sensor data; generating digital content for respective ones of the plurality of modular cameras based on the sensor data; and generating combined digital content that represents a subject within a field of vision associated with the composite camera based on the digital content and the arrangement of the composite camera, wherein the field of vision associated with the composite camera includes at least some of fields of vision associated with the plurality of modular cameras.

Abstract: The present application provides a method and apparatus for detecting an ECG signal and an electronic device. According to an example of the method, an ECG signal with a set time length is segmented to obtain a first set number of single heartbeats; feature data corresponding to each of the first set number of single heartbeats is determined to obtain a first set number of feature data; and a pathological category of the ECG signal with the set time length is determined based on the ECG signal with the set time length and the first set number of feature data.

Abstract: A camera calibration method includes: based on external parameters of the first camera, determining a first mapping point set on a reference mapping plane for a first feature point set on an original image captured by the first camera; based on M predetermined adjustment modes, adjusting external parameter values of the second camera to obtain M intermediate extremal parameter values; based on each adjustment mode and its corresponding external parameter values, determining a second mapping point set on the reference mapping plane for a second feature point set that matches with the first feature point set and is on an original image captured by the second camera; computing a distance corresponding to the adjustment mode between the second mapping point set and the first mapping point set; and adjusting the external parameter values of the second camera based on the distance and a step length corresponding to each adjustment mode.

Abstract: A method includes obtaining a to-be-processed current point in a target area in a current frame, obtaining a first-type smoothing weight of a first-type neighborhood point in an Nth frame before the current frame with respect to the current point, where the first-type neighborhood point is an Xth circle point that encircles a point corresponding to a location of the current point and that is in the Nth frame before the current frame, obtaining a second-type smoothing weight of a second-type neighborhood point in an Mth frame after the current frame with respect to the current point, where the second-type neighborhood point is a Yth circle point that encircles the point corresponding to the location of the current point and that is in the Mth frame after the current frame, and performing smoothing calculation on the current point according to the first-type smoothing weight and the second-type smoothing weight.

Abstract: Obtaining a first set including key point descriptors in a first image that is of a to-be-shot scene and that is formed by using a first camera in a dual camera system, and a second set including key point descriptors in a second image that is of the to-be-shot scene and that is formed by using a second; pairing a key point in the first set and a key point in the second set that match each other to form a key point pair; selecting the key point pair that meets a predetermined condition; generating an image alignment vector field according to the selected key point pair; and estimating an occlusion area according to the depth information of the first image and the second image, and eliminating an alignment vector of the occlusion area in the image alignment vector field, to form a corrected image alignment vector field.

Abstract: A system used for generating a transformed representation of a quantity of video data structured as a plurality of frames including arrays of rows and columns of pixels having pixel properties. The system may generate first representations of the video data based on a plurality of the rows; generate second representations of the video data based on a plurality of the columns; generate frame representations corresponding to the frames and based on the first and second representations; and combine the frame representations to form the transformed representation of the video data. The system may also generate frame representations respectively corresponding to the frames; combine the frame representations to form a transformed representation of the video data; analyze the transformed representation; and identify frames of interest based on the analysis.

Abstract: The present disclosure relates to methods and apparatus for globally adjusting luminance and/or chrominance consistency among multiple images. The methods may include sorting a plurality of images in an order, such that: adjacent images at least partially overlap with each other; and the first image and the last image at least partially overlap with each other. The methods may also include determining mean pixel values for overlapping region of the images. The methods may also include determining consistency factors for the images. The methods may also include generating modified mean pixel values by multiplying the mean pixel values by the respective consistency factors. The methods may also include adjusting the consistency factors to reduce differences of the modified mean pixel values in the overlapping regions. The methods may further include adjusting pixel values of the images based on the respective consistency factors.

Abstract: A shooting method and a mobile device are used to resolve a technical problem in shooting new visual media such as a Living Image by operating a shooting button, so as to simplify a shooting operation of the new visual media, such as the Living Image, that is different from a picture and a video. In some feasible implementation manners of the present invention, the method includes: starting video shooting on a shooting screen when a long press event of a shooting button is received; and when the long press event ends, if a long press period of the shooting button does not exceed a first set threshold, completing mixed visual media shooting, where the mixed visual media includes one video clip and at least one static picture.

Abstract: A method, apparatus and computer program product for an improved facial recognition system are provided. Some embodiments may utilize a weighted block division of an image and capture a property measurement for pixels residing within a block. The measurements may be converted to vectors, compressed, and compared against compressed vectors of enrolled images to identify a characteristic or an image of a matching subject. Training processes may be utilized in order to optimize block divisions and weights.