Stroke identification method and system based on FMCW radar system

Abstract

The invention discloses a stroke identification method and system based on an FMCW radar system. The method comprises the following steps: obtaining intermediate frequency signal data of at least oneto-be-identified stroke contained in handwritten Chinese characters based on the FMCW radar system; preprocessing the intermediate frequency signal data of each to-be-identified stroke to obtain a feature map set of each to-be-identified stroke; obtaining a trained Chinese character basic stroke recognition model, wherein the Chinese character basic stroke recognition model is a convolutional neural network model taking a feature map set as an input parameter and taking a basic stroke category as an output parameter; and inputting the feature map set of each to-be-identified stroke into the Chinese character basic stroke identification model, and obtaining a basic stroke category which is output by the Chinese character basic stroke identification model and is matched with each to-be-identified stroke. According to the method, the data volume used for representing the gesture motion trend is reduced, the feature extraction efficiency is improved, and the basic stroke category can be accurately judged.

Description

technical field [0001] The invention belongs to the technical field of gesture recognition, and in particular relates to a stroke recognition method and system based on an FMCW radar system. Background technique [0002] At present, the commonly used human-computer interaction methods include keyboard, mouse, handwriting tablet, touch screen input, etc. These methods are all contact human-computer interaction methods. In many special application scenarios, touch interactive devices are limited by the environment, such as aseptic operation in the operating room and operation by visually impaired users. However, with the development of science and technology, many smart terminal devices and human-computer interaction devices have appeared on the market. Some smartphones have an accessibility mode and provide voice feedback so that users do not need to look at the screen when using the device, which can simplify the visual experience. Obstacle to user's operation, but there ma...

AI Technical Summary

Problems solved by technology

This method is still limited by external conditions (such as paper size, etc.); another approach is to directly write virtual text on the desktop or in the air with your fingers, and use a camera or motion sensor (such as Kinect, etc.) to collect the finger's movement trajectory in real time , and then recognize the trajectory as text. This method is difficult to separate characters and can only recognize the simplest text

[0004] Human-computer interaction devices based on radio frequency can only do simple gesture command operations. From the published literature, there is no related research on the use of millimeter-wave radar to complete the basic stroke recognition of handwritten Chinese characters.

Images