Human motion posture recognition and evaluation method and system

Abstract

The invention discloses a human motion posture recognition and evaluation method, and the method comprises the following steps: S01, collecting a video image test data set, and performing data processing on data in the video image test data set; S02, inputting the test data after data processing into the trained LSTM neural network model for human motion posture recognition, and outputting a recognition result; S03, comparing the output identification result with standard motion data, and evaluating the standard degree of the identified human motion posture according to the comparison result.The invention further discloses a human motion posture recognition and evaluation system, and the system comprises an image acquisition module, a data processing module, an LSTM neural network model,a model training module, a data center and a posture evaluation module. According to the method, the long-term time information can be captured, complex space-time clues of human body actions can be captured through a time domain attention mechanism and a space domain attention mechanism, and the accuracy of human body motion posture recognition is greatly improved.

Description

technical field [0001] The present invention relates to the technical field of posture recognition, and more specifically relates to a human body movement posture recognition evaluation method and a system thereof. Background technique [0002] At present, with the rapid development of human-computer interaction technology, more and more attention has been paid to human gesture recognition technology. As an important part of human action recognition, gesture recognition has gradually become an important research hotspot in the field of computer vision in recent years. [0003] The existing gesture recognition methods mainly include two types, one is human gesture recognition based on motion sensors, and the other is human gesture recognition based on image analysis; sensor-based recognition technology mainly collects and correlates by allowing researchers to carry sensors. For motion data, the commonly used sensors mainly include accelerometers, magnetoresistive sensors, gy...

AI Technical Summary

Problems solved by technology

[0006] In view of this, the present invention provides a human body motion posture recognition evaluation method and its system, which can effectively solve the problem of inaccurate and slow human body motion posture recognition technology in the prior art, and further provide a comprehensive analysis of the identified human body motion posture recognition technology. In addition, it also effectively solves the problem that the human body motion posture cannot be objectively evaluated in the prior art.

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