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Motion recognition method and device based on human body posture

An action recognition and human posture technology, applied in the field of human-computer interaction, can solve the problem of low recognition accuracy, and achieve the effects of improving recognition accuracy, solving low recognition accuracy and reducing complexity.

Inactive Publication Date: 2019-01-01
HUAZHONG NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the object of the present invention is to provide an action recognition method and device based on human body gestures, which can perform real-time identification of human body actions, have higher accuracy for action recognition, and reduce the complexity of the algorithm Make it easier to use and solve the technical problem of low recognition accuracy in the existing technology

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  • Motion recognition method and device based on human body posture
  • Motion recognition method and device based on human body posture
  • Motion recognition method and device based on human body posture

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Embodiment 1

[0061] This embodiment provides an action recognition method based on human posture, please refer to figure 1 , The method includes:

[0062] First, perform step S1: Obtain the bone data of the human body through the bone tracking technology of the depth sensor. The bone data includes the three-dimensional coordinates of the joint points of the human body, and the three-dimensional coordinates are converted to the world coordinate system where the human body is located.

[0063] Specifically, the depth sensor may be an existing sensor, such as Microsoft's Kinect sensor, Apple's PrimeSense sensor, etc. The number of human joint points obtained corresponds to the technology of the depth sensor. In this embodiment, KinectV2 can be used, which is a human-computer interaction device developed by Microsoft. Skeleton tracking technology is the core technology of KinectV2. It can accurately calibrate the 25 key nodes of the human body, and can determine the position of these 25 points. For...

Embodiment 2

[0133] This embodiment provides an action recognition device based on human posture, please refer to Figure 4 , The device includes:

[0134] The bone data acquisition module 401 is used to acquire human bone data through the bone tracking technology of the depth sensor. The bone data includes the three-dimensional coordinates of the joint points of the human body, and converts the three-dimensional coordinates to the world coordinate system where the human body is located;

[0135] The bone data filtering module 402 is used to filter the bone data by using an improved limiting filter algorithm to obtain filtered bone data. The improved limiting filter algorithm specifically includes: firstly determining whether the degree of jitter of the bone data exceeds a threshold value. If the jitter level of the bone data this time does not exceed the threshold, the bone data in the filter buffer will be used to update the bone data. Otherwise, continue to determine whether the jitter level ...

Embodiment 3

[0162] Based on the same inventive concept, this application also provides a computer-readable storage medium 500, please refer to Figure 5 , A computer program 511 is stored thereon, and the method in the first embodiment is realized when the program is executed.

[0163] Since the computer-readable storage medium introduced in the third embodiment of the present invention is the computer-readable storage medium used for implementing the human body gesture-based action recognition method in the first embodiment of the present invention, it is based on the method introduced in the first embodiment of the present invention Those skilled in the art can understand the specific structure and deformation of the computer-readable storage medium, so it will not be repeated here. All computer-readable storage media used in the method of the first embodiment of the present invention belong to the scope of the present invention.

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Abstract

The invention provides a motion recognition method and a device based on human body posture, the methods include: the skeletal data are obtained by the improved clipping filtering algorithm, Angle features are obtained by improved angle calculation method, and the angle features of the classified classes are trained based on logical regression, and the trained classifier is obtained, and then therecognition result of static posture of human body is obtained through the classifier, and finally the human body motion is recognized by reverse order method according to the recognition result of static posture. The invention realizes the technical effects of improving the identification speed and the identification accuracy.

Description

Technical field [0001] The present invention relates to the technical field of human-computer interaction, in particular to an action recognition method and device based on human posture. Background technique [0002] With the development of the times, people call for a more natural way of human-computer interaction, and introduce human-to-human interaction into human-computer interaction, which is called "natural" interaction. This includes a series of technologies that recognize the human body, arms, and gestures. Among these natural interaction methods, there are actions, gestures, and voice. Action is an important difference between people and other objects. People express certain information and emotions through gestures. For example, in sports games, referees use various gestures to convey information. Therefore, it is very necessary to find a good method to recognize human posture. [0003] Traditional human motion recognition technology often uses media such as ordinary...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F3/01
CPCG06F3/011G06F18/214G06F18/24
Inventor 陈加张玉麒宁国勤左明章
Owner HUAZHONG NORMAL UNIV
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