A method and device for recognizing throwing actions based on a single attitude sensor

Abstract

The invention discloses a method and a device for recognizing a throwing action based on a single attitude sensor. The method comprises the following steps of establishing a reference coordinate system relative to the right, the front and the lower part of a thrower, wherein a right upper arm vector is a unit vector pointing to the right elbow from the right shoulder, reference vectors (formula) respectively represent the lower part, the front and the right of the thrower, an inclined angle between the right upper arm vector and (formula) is theta, and an inclined angle between projection of the right upper arm vector on a plane formed by (formula) and (formula) and (formula) is phi; dividing the right half space of the reference coordinate system into a plurality of attitude areas and mapping a measured throwing area in the reference area; comparing the measured reference area, a time sequence and a predetermined throwing order, if the measured reference area, the time sequence and the predetermined throwing order are the same, judging a throwing action, otherwise, judging a non-throwing action. According to the method and the device, through configuring the single sensor, and collecting the attitude information and analyzing the attitude information in real time, the throwing attitude of a single pawn is recognized under the virtual training scene, the judgment accuracy rate is more than 98%, and the method and the device are easily popularized and applied in all kinds of immersed virtual training systems.

Description

technical field [0001] The present application relates to the field of motion capture, and in particular, relates to a method and device for recognizing throwing motions using a single attitude sensor. Background technique [0002] At present, the commonly used method for motion capture is optical motion capture. Optical motion capture completes the task of motion capture by monitoring and tracking specific light points on the human body. The principle is to use multiple cameras to continuously shoot the light points on the human body at the same time. The position of the point in space can be calculated by using the preset parameters, and then the attitude fusion calculation is performed according to the position to obtain the corresponding action. Its disadvantages are high cost and complex configuration. To prepare to capture action, a "pure" background environment is first required. The human body needs to be dressed in monochromatic clothing, equipped with light spots...

AI Technical Summary

Problems solved by technology

However, human-computer interaction based on buttons cannot effectively capture the throwing process, strength and direction, and will reduce the interaction experience

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