A motion capture intelligent recognition method and teaching system

Abstract

The present invention provides a motion capture intelligent recognition method, comprising: S1, establishing a standardized feature code; it comprises: S11, collecting video data, and extracting sound stream codes and motion images from continuous video data; S12, performing step S11 Perform a dot-matrix portrait of the action image captured in the dot-matrix portrait; S13, standardize the space and time coordinates of the dot-matrix portrait, the time coordinate takes the sound stream code as a reference, calculates the 48-bit space array value, forms a standardized feature code, and stores it; S2, Motion capture and collection, matching and identifying captured motion images with standardized feature codes; S3, outputting recognition results. The present invention establishes a 48-bit space array value with space and time coordinates, and utilizes the characteristics of the sound stream code to capture the time point with the sound stream code as a reference, and captures the action image for matching recognition; improves the capture of the action image Speed ​​and accuracy of matching recognition results. Correspondingly, a teaching system is provided, which is used for teaching guidance and improves teaching efficiency and teaching quality.

Description

technical field [0001] The invention relates to the fields of artificial intelligence and computer graphics and images; in particular, it relates to a motion capture intelligent recognition method and a teaching system. Background technique [0002] At present, in the existing vocal music teaching, for example, the teacher guides and corrects the teaching; however, during the teacher's correction process, it is difficult for the students to accurately remember every action that needs to be corrected, and it is also difficult for the teacher to correct each exercise. comprehensively correct every wrong action in the exercise; students have doubts or misunderstandings about whether to correct the corresponding action and how to correct it; on the other hand, the time cost of the teacher is limited, and the students need many times of practice to master the skills, and it is difficult for the teacher Provide comprehensive guidance for each exercise; this leads to low learning e...

AI Technical Summary

Problems solved by technology

[0002] At present, in the existing vocal music teaching, for example, the teacher guides and corrects the teaching; however, during the teacher's correction process, it is difficult for the students to accurately remember every action that needs to be corrected, and it is also difficult for the teacher to correct each exercise. Correct every wrong action in the process comprehensively; cause students to have doubts or misunderstandings about whether to correct the corresponding action and how to correct it; Provide comprehensive guidance for each exercise; this leads to low learning efficiency for students, and it is easy for students to understand whether their movements are standard and accurate. Coupled with the teacher's subjective communication, some students will Deviations in understanding will seriously affect the quality of teaching and teaching efficiency

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