Body action identification method and system based on depth image induction

Abstract

The invention relates to a body action identification method and a body action identification system based on depth image induction. The body action identification method comprises the following steps: acquiring the depth image information of a user and an environment where the user stands; extracting the body outline of the user from the background of the depth image information; respectively changing the size of each part in the skeletal framework of the human body to be adapted to the body outline of the user, and acquiring the adapted body skeletal framework of the user; tracking and extracting the data which present the movement of the body of the user in a manner adapted to the body skeletal framework; and identifying the body action of the user according to the data which present the movement of the body of the user. According to the invention, the body action of the user is further identified and tracked by establishing the skeletal system of the user, so that the problem existing in the current action induction identification solution is better solved, the body action identification efficiency is improved, and the user experience of human-computer interaction is improved.

Description

technical field [0001] The present invention relates to human-computer interaction technology, in particular, the present invention relates to a body movement recognition method and system based on depth image sensing. Background technique [0002] Because traditional human-computer interaction devices such as mice and keyboards have certain limitations in the naturalness and friendliness of user experience, human-computer interaction technology has become a very popular research field in recent years, and more and more technologies such as touch Various new human-computer interaction methods such as remote control, voice control, gesture control, and motion sensing. In particular, the motion-sensing human-computer interaction method represented by Nintendo's Wii and Sony's MOVE uses various sensor devices to complete the recognition process of body movements in real time, more specifically, upper limb movements, and transform them into game consoles, etc. The command that ...

AI Technical Summary

Problems solved by technology

From the perspective of the body movement recognition process, traditional movement recognition requires multiple complex steps and processes such as movement modeling, movement segmentation, and movement analysis. Especially for dynamic body movements, different users will perform body movements There are speed differences, trajectory differences, etc., which cause the motion modeling trajectory to cause nonlinear fluctuations on the time axis, and the elimination of such nonlinear fluctuations is very difficult and complicated, so the traditional recognition rate and recognition of body movements based on two-dimensional images Generally not efficient enough

[0006] On the other hand, real user body movements are all made in a 3D environment, and the result based on 2D image processing is to map the user's 3D movements into 2D movements for processing, and it is difficult to obtain real 3D movement information , which to a large extent limits the richness of body movements that can be recognized, and limits the wide application of gesture recognition devices.

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