Abstract: A measurement system includes a camera and a processor. The camera is configured to capture a measurement card image of a measurement card, and the measurement card image includes a number of feature pattern images. The processor is electrically connected to the camera and configured for analyzing the feature pattern images to obtain a feature point coordinate of a feature point of each feature pattern image, and inputting the feature point coordinates into a conversion matrix to obtain a tip coordinate of a tip of the measurement card.

Abstract: An image recognition method and an electronic apparatus configured for image recognition are provided. A training sample set is provided to train a recognition model including neural networks to recognize a classification label to which an image to be tested belongs through the trained recognition model. The training sample set includes image sets respectively belonging to users. During the training process, training images corresponding to classification labels are obtained from a first image set in the training sample set as reference images for training; a training image is obtained from a second image set different from the first image set as an input image for training; the reference images for training and the input image for training are obtained as inputs to the neural networks for training. The input to each neural network includes at least one of the reference images for training and the input image for training.

Abstract: A face depth image is normalized and color-transferred into a normalized face depth image. The face color image and the normalized face depth image are mixed into a face mixed image. A plurality of face mixed images of several different users are processed with face landmark alignment and mean, and then are synthesized with the face mixed image of another user into an imaginary face.

Abstract: The invention provides a gait evaluating system and a gait evaluating method. The gait evaluation system includes a gait evaluating device configured to: obtain, from a pressure detection device, a plurality of pressure values of a user walking on the pressure detection device; obtain a plurality of step feature values of the user based on the pressure values; obtain a plurality of walking limb feature values when the user walks on the pressure detection device based on a sensing data provided by a limb sensing device; and evaluate a gait of the user based on the step feature values and the walking limb feature values.

Abstract: A face depth image is normalized and color-transferred into a normalized face depth image. The face color image and the normalized face depth image are mixed into a face mixed image. A plurality of face mixed images of several different users are processed with face landmark alignment and mean, and then are synthesized with the face mixed image of another user into an imaginary face.