Hand gesture recognition method based on distance-speed features

Abstract

The invention provides a hand gesture recognition method based on distance-speed features. The method comprises the steps of 1, adopting a frequency-modulated continuous-wave radar as a gesture sensor, intercepting and arranging received beat signals to obtain a radar echo signal two-dimensional matrix; 2, subjecting the radar echo matrix obtained in the step 1 to two-dimensional FFT respectively along a fast time a dimension and a slow time dimension; 3, based on an R-D graphic sequence, training a convolutional neural network; 4, inputting the real-time R-D sequence into a convolutional neural network model and conducting the recognition test, wherein the test accuracy of the final convolutional neural network is larger than 98%; 5, realizing the operation of a computer terminal and the control of a material object. According to the technical scheme of the invention, the hand gesture recognition is enabled even in the absence of light and without the wearing of a sensor, so that the interaction between the computer terminal and the material object is realized. The real-time detection is additionally conducted, so that the uncertain location problem of data interception is ingeniously solved. The real-time gesture recognition and control is realized. Therefore, the method has better practical value.

Description

technical field [0001] The invention provides a gesture recognition method based on distance-velocity features, which is a gesture recognition method based on radar signal processing-convolutional neural network, and belongs to the field of radar technology and the field of human-computer interaction technology. Background technique [0002] Automatic recognition of gestures is a prerequisite for machines to understand human gesture language. Gesture recognition refers to the use of certain sensors to collect gesture information, and then to recognize gestures through mathematical algorithms, with the ultimate goal of device manipulation and human-computer interaction. With the development of computer technology, gesture recognition will become another human-computer interaction method after traditional input tools such as mouse and keyboard. The current gesture recognition methods include wearing sensor devices, optical image recognition, etc., but the former needs to wear...

AI Technical Summary

Problems solved by technology

The current gesture recognition methods include wearing sensor devices, optical image recognition, etc., but the former needs to wear the device all the time during use, which is not only very inconvenie

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