Standing long jump evaluation method based on deep learning attitude estimation

A pose estimation and deep learning technology, applied in neural learning methods, computing, computer components, etc., can solve the problem of low judgment accuracy and achieve high accuracy
CN111860107APending Publication Date: 2020-10-30四川中科凯泽科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
四川中科凯泽科技有限公司
Publication Date
2020-10-30

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Abstract

The invention discloses a standing long jump evaluation method based on deep learning attitude estimation. The standing long jump evaluation method comprises the following steps: A, collecting an image before jumping and zooming the image; B, defining a long jump detection area, detecting human body feature points through a deep convolutional neural network, and completing limb connection; C, collecting a human body final landing point and detecting whether the human body final landing point is in the detection area or not; and D, calculating the standing long jump distance according to the coordinates of the take-off point and the final landing point. According to the scheme, the coordinates of the human body at the two points are calculated based on the take-off point and landing point separation algorithm, so that the standing long jump distance is obtained; the human body posture estimation adopts the deep convolutional neural network, and the accuracy is high.
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Description

technical field

[0001] The present invention relates to the field of posture evaluation, and more specifically relates to a standing long jump evaluation method based on deep learning posture estimation. Background technique

[0002] The popularization and upgrading of the Internet have brought about rapid changes in human production and lifestyle. On the Internet, people can work, study, communicate with each other, make friends, and engage in entertainment activities. The Internet has brought many conveniences to people's lives, but the inherent potential of the Internet has not been fully tapped, so people hope to further explore the inner power of the Internet through thinking, so as to raise human living standards to a higher level. For example, a typical representative is the field of image processing, and human body pose recognition is an important branch of the image field. The traditional human body posture recognition is mainly obtained and recognized through the ...

Claims

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