Human body movement identification method based on Kinect

Abstract

The invention provides a human body movement identification method based on a Kinect. The human body movement identification method includes the steps of obtaining spatial position information of a skeleton articulation point of a target human body through the Kinect, and then identifying a movement type of the target human body by judging whether the spatial position information meets a preset judging standard of various human body movements or not. By means of the human body movement identification method, the advantages of the Kinect are effectively used, the spatial position information of the skeleton articulation point of the human body can be obtained in real time, other sensing devices are not required to be used in an assisting mode, picture processing is not carried out, the systematic complexity is reduced, the human movement identification speed and accuracy is improved, and the man-machine interaction effect is improved.

Description

technical field [0001] The invention relates to the technical field of computer virtual reality, in particular to a Kinect-based human action recognition method. [0002] Background technique [0003] With the development of computer technology, in some virtual reality fields, such as digital entertainment, it is usually necessary for the computer to transmit stimulation signals to the human senses on the one hand, and to receive the operator's response, such as changes in body posture, on the other hand, and then Stimulation signals are adjusted according to these changes in the position and state of the human body itself. Therefore, it is necessary to accurately recognize human actions. [0004] At present, some methods of using motion recognition and control are based on traditional two-dimensional images. This type of method not only involves general image processing, but also may involve image understanding and description, which is relatively complicated. Moreover, ...

AI Technical Summary

Problems solved by technology

[0004] At present, some methods of using motion recognition and control are based on traditional two-dimensional images. This type of method not only involves general image processing, but also may involve image understanding and description, which is relatively complicated.

Moreover, this type of method is sensitive to the surrounding lighting environment, and poor lighting conditions may affect the accuracy of recognition; clothing, accessories and other occluders worn by the human body will reduce some local features of human movements, which will affect the recognition of movements, and even Unrecognizable, although it can be compensated by artificial intelligence, it is more complicated and has an impact on real-time performance; in terms of interactive applications, this type of method only uses two-dimensional image information, and cannot robustly deal with the interaction of human body parts in the depth direction action

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