Action guidance method and device based on action capture

Abstract

The invention discloses an action guidance method based on action capture. The method comprises the steps of acquiring a standard action image and a user action image; outputting digital signals of key points and two-dimensional coordinates of a human body in the standard action image and the user action image; identifying the limb length and the limb included angle of the human body, and markingdigital signals of each joint point of the human body and the two-dimensional coordinates of each joint point in the standard action image and the adjusted user action image; respectively enabling thedigital signals of the two-dimensional coordinates of each key point of the human body in the standard action image to correspond to the first human body skeleton model, and enabling the digital signals of the two-dimensional coordinates of each key point of the human body in the adjusted user action image to correspond to the second human body skeleton model; comparing the included angles between limbs in the actions of the first skeleton model and the second skeleton model to judge whether the actions of the user and the standard actions are within an error range or not; and if the deviation between the action of the user and the standard action exceeds a threshold value, reminding the user to adjust the action towards the direction of reducing errors.

Description

technical field [0001] The present invention relates to the field of human-computer interaction technology, in particular to a method and device for motion guidance based on motion capture. Background technique [0002] With the development of the economy and the progress of the society, people have higher and higher requirements for the quality of life, and pay more attention to enriching their entertainment life and improving their physical fitness through yoga, dance, fitness equipment, etc. However, due to the high cost of study classes and the unwillingness to express themselves in front of others, many people need action guidance systems to improve their learning efficiency. [0003] Regarding the motion capture technology, the existing relatively mature technologies can be divided into mechanical, acoustic, electromagnetic, inertial navigation and optical. Compared with other forms, the advantage of the optical type is that the supporting peripherals are simple, and ...

AI Technical Summary

Problems solved by technology

Furthermore, the processing flow and time complexity of the guidance system are relatively cumbersome

[0005] It can be seen that for general users, it is difficult to meet the high material conditions of more than six cameras and the limitation of large venues.

It is very cumbersome to change monochromatic clothing and wear light spots before use

The cumbersome processing flow and processing time complexity lead to insufficient action matching and recognition

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