Fitness guidance method and system based on cloud robot, and storage medium

A robot and algorithm technology, applied in the field of intelligent robots, can solve problems such as dependence on equipment and lack of correct guidance

Active Publication Date: 2021-02-26
武汉云极智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention provides a cloud robot-based fitness guidance method, storage medium and system to solve the problem of existing fitness relying solely on equipment without correct guidance

Method used

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  • Fitness guidance method and system based on cloud robot, and storage medium
  • Fitness guidance method and system based on cloud robot, and storage medium
  • Fitness guidance method and system based on cloud robot, and storage medium

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Embodiment Construction

[0024] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0025] see Figure 1-2 , a kind of fitness guidance method based on cloud robot provided by the present invention, it comprises steps:

[0026] S1, acquire the user's fitness action and store it;

[0027] Specifically, the cloud robot system is used to shoot images of the user during exercise, so as to record the actions of the user during exercise.

[0028] In this embodiment, the cloud robot system includes a main display screen, a main controller, and a depth camera. The main controller is connected to the edge node through wireless communication technology. The main display screen and the dep...

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Abstract

The invention relates to a fitness guidance method based on a cloud robot, and the method comprises the steps: obtaining and storing a fitness action of a user; collecting an image of a motion environment, and constructing an environment map; establishing a double-cascade pyramid network by using a DCPLSTM algorithm, inputting an acquired user motion action image and a standard action image into the double-cascade pyramid network, and extracting skeleton points of the two images; and judging whether the movement action of the user is standard or not according to the comparison result of the skeleton points of the two images, and correcting when the movement action is not standard. The invention further provides a storage medium and a fitness guidance system based on the cloud robot. The fitness guidance method based on the cloud robot, the storage medium and the fitness guidance system can correct wrong actions of a user during fitness.

Description

technical field [0001] The invention relates to the field of intelligent robots, in particular to a fitness guidance method, storage medium and system based on cloud robots. Background technique [0002] Fitness is a physical activity that builds strength, flexibility, increases endurance, improves coordination, and the ability to control all parts of the body, resulting in a strong and sculpted body. [0003] However, most of the existing fitness equipment is mechanical equipment without the introduction of the Internet of Things and intelligent technology. Users can only use their own understanding of fitness equipment, but because there is no systematic training, the fitness effect may not be good. It may even cause your own muscle strain. On the other hand, the existing intelligent robot technology simply counts calories, and cannot make a systematic fitness program, and cannot provide precise guidance. It is qualitative and intuitive to the user. It is impossible to pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08A63B71/06
CPCG06N3/08A63B71/06G06V40/23G06V10/464G06N3/045G06F18/24
Inventor 李志豪何炳锐赵一亭温韵生张嘉翊
Owner 武汉云极智能科技有限公司
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