Abstract: An electronic apparatus, a control circuit, and a transmission control method includes a control circuit and at least two communication circuits, where the control circuit is configured to obtain first service data, and selectively distribute the first service data to at least one of the communication circuits, and any one of the communication circuits can support one wireless communication protocol.

Abstract: The present application relates to a binder compound of formula (I), a method for preparing the same, and an electrode sheet comprising the same. In formula (I), R1, R2, and R3 each independently represents an unsubstituted or substituted linear or branched alkyl with 1-6 carbon atoms, or an unsubstituted or substituted aryl with 6-20 carbon atoms; R4 represents —COOM; R5 represents a bridging oxo or bridging imino; each M independently represents one of Li, Na, K, Rb, and Cs; Z represents a linear or branched alkylene with 1-6 carbon atoms; m is an integer selected from 7,600 to 47,000; n is an integer selected from 1,520 to 94,000; and m/n=0.1-10.

Abstract: A method for reducing mineral oil content in edible vegetable oil includes the following steps carrying out the molecular distillation on the edible vegetable oil having mineral oil exceedance; mixing water, the vegetable oil and an emulsifier with stirring to form an unstable emulsion; standing the emulsion for 1 to 5 hours for layer separation to form oil phase and emulsified phase, or oil phase, emulsified phase and water phase, and then separating different phases; freezing the oil phase after stirring, and then treating the oil phase with high-voltage pulsed electric field followed by ultrafiltration to obtain a vegetable oil I; subjecting the emulsion phase to low-temperature plasma treatment and then to high-voltage pulsed electric field treatment to break emulsion, drawing the upper oil phase for ultrafiltration followed by molecular distillation to obtain a vegetable oil II.

Abstract: A route planning method includes obtaining exercise capability information of a wearer and one or more candidate routes, where the candidate routes include attribute features that comprise historical exercise capability information, where the historical exercise capability information is information calculated according to a first preset rule and based on obtained exercise capability information of a plurality of users having exercised along the candidate routes; determining a target route based on the attribute features of the candidate routes and the exercise capability information of the wearer; and outputting the target route information.

Abstract: A route planning method includes obtaining exercise capability information of a wearer and one or more candidate routes, where the candidate routes include attribute features that comprise historical exercise capability information, where the historical exercise capability information is information calculated according to a first preset rule and based on obtained exercise capability information of a plurality of users having exercised along the candidate routes; determining a target route based on the attribute features of the candidate routes and the exercise capability information of the wearer; and outputting the target route information.

Abstract: The present invention provides a method and electronic device for palm center positioning, wherein the method for palm center positioning includes the following steps: firstly, acquires an image including a palm and an arm; then acquiring a connection area of the palm and the arm in the image based on skin color feature in the image; subsequently acquiring an exterior contour of the connection area, and clearly defining boundary of the connection area to eliminate errors; and finally acquiring palm center position information according to a maximum value of the shortest distance from each pixel point in the connection area within the exterior contour to the exterior contour. This disclosure is characterized by simple steps and high positioning accuracy.

Abstract: The present disclosure relates to the technical field of gesture recognition, and a method and apparatus for distinguishing between fingers and a wrist are disclosed. In some embodiments of the present disclosure, the following steps are included: acquiring a hand image, where the hand image includes fingers, a wrist, and an arm; calculating a dividing line that passes through a palm center location of the hand image and is perpendicular to a main axis of the hand image; acquiring respective relationships, between an area and a circumference, of two image areas formed by dividing the hand image by using the dividing line; and determining the image areas in which the fingers and the wrist are respectively located, according to the relationships between the area and the circumference.

Abstract: Disclosure is a hand recognizing method including: acquiring a binary image into which an image is segmented based upon the skin color of a human body; extracting a connectivity domain in the binary image as a connectivity domain to be recognized; calculating a feature vector of a corresponding sample of the connectivity domain to be recognized; calculating the distances between the feature vector of the connectivity domain to be recognized, and feature vectors of hand sample connectivity domain, and the distances between the feature vector of the connectivity domain to be recognized, and feature vectors of non-hand sample connectivity domains; obtaining K samples with the shortest distances, determining whether the number of hand samples among the K samples is more than the number of non-hand samples, and if so, then determining that the connectivity domain to be recognized is a hand feature, wherein K represents a positive odd number.

Abstract: The present disclosure discloses a method and a device for skin color detection. The method includes: reading an RGB image, and converting the RGB image from an RGB color space to an r-g color space, and obtaining an image to be detected; traversing and reading each pixel in the image to be detected, and calculating a first probability density of the pixel under a skin Gaussian mixture model and a second probability density of the pixel under a non-skin Gaussian mixture model according to a pre-established Gaussian mixture model; calculating the posteriori probability of the pixel belonging to a skin region according to the first probability density and the second probability density of the pixel; and attributing the pixel to the skin region when determining that the posteriori probability is greater than a preset posteriori probability threshold. Effective skin color detection under a case of a few samples is implemented.