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Human body posture judgment intelligent following method based on artificial neural network

An artificial neural network, intelligent following technology, applied in the field of robot navigation, can solve problems such as deviation in following, unable to accurately predict the movement changes of the follower, and the robot cannot be followed by the follower, etc., to achieve the effect of accurately following the action.

Active Publication Date: 2019-12-03
天使翼(武汉)科技创业发展有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the traditional robot navigation technology cannot accurately obtain the movement trend of the follower, and there are often certain errors, that is, it is impossible to accurately predict the movement changes of the follower, which leads to the inability of the robot to closely follow the follower. There is a deviation, and the follow-up operation cannot be completed accurately and efficiently

Method used

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  • Human body posture judgment intelligent following method based on artificial neural network
  • Human body posture judgment intelligent following method based on artificial neural network

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Experimental program
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Effect test

Embodiment 1

[0030] Such as figure 1 Shown, the human body posture judgment intelligent follow method based on artificial neural network, this method comprises the following steps:

[0031] Step (1): The follower device collects the status information of the follower in real time through the detection device; the detection device sends the status information to the processing module of the follower device;

[0032] Obtain the status information of the follower through the detection equipment, real-time collection can monitor the follower at each moment, so as to obtain the movement of the follower in real time, so as to accurately complete the follow-up action;

[0033] Perceive the current posture and movement state of the follower from different angles through multiple devices, obtain data from different angles, and judge the state information of the follower according to changes in posture and movement state.

[0034] Step (2): Training the processing module according to the state info...

Embodiment 2

[0055] Such as figure 2 As shown, this embodiment provides an artificial neural network-based human body posture judgment intelligent following method, the difference from Embodiment 1 is that, further, step (1) includes the following steps:

[0056] Step (a): The following device collects the status information of the follower in real time through the detection device;

[0057] Step (b): Follow the device to remove impurities from the status information;

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Abstract

The invention discloses an intelligent following method for human posture judgment based on an artificial neural network. The method comprises the steps of: (1) a following device acquiring state information of a followed person in real time via a detection device; the detection device sending the state information to a processing module of the following device; (2) training the processing module according to the state information and an artificial neural network algorithm; (3) the trained processing module acquiring the motion tendency of the followed person according to the state information; and (4) the trained processing module sending a following instruction to the following device according to the motion tendency to command the following device to follow the followed person. The method can accurately acquire the motion tendency of the followed person, so that the following device carries out accurate following.

Description

technical field [0001] The patent of the present invention relates to the technical field of robot navigation, in particular to an intelligent following method for human body posture judgment based on artificial neural network. Background technique [0002] Robot navigation technology is widely used in the field of robot technology. Infrared sensors are often used for data collection to monitor the conditions of objects around the robot, so as to obtain the situation around the robot. Follow the follower. [0003] However, the traditional robot navigation technology cannot accurately obtain the movement trend of the follower, and there are often certain errors, that is, it cannot accurately predict the movement changes of the follower, which leads to the inability of the robot to closely follow the follower. There is a deviation, and the following operation cannot be completed accurately and efficiently. Contents of the invention [0004] In view of the deficiencies in t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/02
CPCG05D1/0223G05D1/0242G05D1/0255
Inventor 张俊丽熊勇
Owner 天使翼(武汉)科技创业发展有限公司