6 results about "Stroke Type" patented technology

The application discloses a method and a terminal for automatically generating handwriting Chinese character animation, obtains a target Chinese character for which handwriting Chinese character animation is to be generated, analyzes each stroke of the target Chinese character and corresponding stroke type and center point data of the stroke; determines corresponding vertex data according to the stroke type of the stroke; calculates connection data required for drawing the stroke according to the center point data and the vertex data corresponding to the stroke; generates handwriting stroke animation of the corresponding stroke according to the connection data, integrates handwriting stroke animation corresponding to each stroke according to the stroke order of the target Chinese character, and obtains handwriting Chinese character animation of the target Chinese character. The application can automatically generate handwriting Chinese character animation according to the requirements of a user, simulate a real writing process during generation, improve the interactive experience of the user, and save manpower and resources.

The utility model provides a stroke type weight sensor, which comprises a shell used for being connected with a fixed platform and an inhaul cable used for being connected with a movable platform moving relative to the fixed platform, and further comprises an induction column used for inducting the stroke of a sliding block, and the induction column is vertically and fixedly arranged in an induction cavity reserved in the shell. The sliding sleeve is assembled on the induction column in a sliding manner; the sliding sleeve is linearly restrained outside the induction column and can linearly move in the induction cavity along the straight line of the induction column; wherein the induction column is a columnar induction capacitor, the fixed end of the inhaul cable is fixed to the fixed platform, the movable end of the inhaul cable penetrates out of the shell, the gravity direction of the sliding sleeve coincides with the extending path of the inhaul cable, and when the inhaul cable is pulled, the sliding sleeve synchronously moves on the induction column. All parts in the device act cooperatively, so that the stability and accuracy of the detection process are ensured, the interference of the external environment can be effectively resisted, and the service life of equipment is remarkably prolonged.

The invention provides an online handwriting stroke order feature construction method and system and a handwriting identification method, and the method comprises the steps: analyzing handwriting collection data (x, y, p, t, s), and segmenting the handwriting into a plurality of strokes by using a point with a speed v close to 0 as a segmentation point; constructing a stroke order feature S including a stroke order feature, a stroke angle feature, a stroke type feature, a stroke length feature, a stroke position feature and a stroke conversion feature; and processing the stroke order feature S through frequency mapping transformation, extracting a high-frequency spectrum component in the stroke order feature S by using a high-frequency oscillation primary function in the frequency mapping transformation, and converting the stroke order feature S into a representation form suitable for a deep learning model. The method not only can reflect the sequence of strokes, but also can reflect the space structure difference caused by the sequence of strokes, remarkably improves the problem that a deep learning model is insensitive to different stroke orders, and improves the performance and generalization ability of the model.

1. The name of the design product: rotary electric claw (translational large stroke type). 2. The use of the design product: for grabbing or rotating the grabbed material. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to a travel calibration method and device of target equipment, a travel setting method and device, the target equipment and electronic equipment, and relates to the technical field of smart home. The method comprises the steps of determining a current travel type of target equipment under the condition that the target equipment has a travel error; the target equipment comprises at least one controlled part, and the controlled part moves in the total travel range; according to a stroke calibration strategy corresponding to the stroke type, each controlled part is controlled to move towards a corresponding first preset direction, and according to the position of each controlled part in the moving process and stroke setting information of each controlled part, the calibrated stroke of each controlled part is determined. By adopting the method, the travel calibration process can be improved and simplified.

The invention relates to the technical field of intelligent medical assistance, in particular to a method, device and equipment for assisting stroke assessment and a medium, and the method comprises the steps: receiving a brain image, clinical vital sign data, pre-hospital first-aid records and historical health data; the method comprises the following steps of: extracting deep semantic features of a brain image by adopting a convolutional neural network and a Swinin-Transform hybrid encoder; a gradient boosting tree feature encoder is adopted to extract nonlinear correlation features among the clinical vital sign data, the pre-hospital emergency records and the historical health data; based on the deep semantic features and the nonlinear correlation features, adopting residual connection and a multi-head attention mechanism to obtain complementary fusion features; determining the stroke type based on the fusion features; and when ischemic stroke is determined, the volume of a core infarction region is measured and calculated, so that the assessment time of the emergency stroke is shortened.