Crane intelligent lifting system based on limb motion recognition

A technology of body movements and cranes, applied in the field of pattern recognition and human-computer interaction, to achieve the effect of improving hoisting efficiency and operator comfort, high robustness, and good application value

Inactive Publication Date: 2018-09-07
JILIN UNIV
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Problems solved by technology

The disadvantage of this method requires the use of expensive depth camera equipment

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  • Crane intelligent lifting system based on limb motion recognition
  • Crane intelligent lifting system based on limb motion recognition
  • Crane intelligent lifting system based on limb motion recognition

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Embodiment Construction

[0035] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. A crane intelligent hoisting system based on body movement recognition, comprising an image acquisition unit, a contour extraction unit, a feature extraction unit, a feature training unit, a feature matching unit and a target tracking unit; it is characterized in that it specifically includes the following steps:

[0036] First, the standard body movement library is obtained through SVM machine learning algorithm training, in which the standard body movement is based on the national standard GB5082-85; then the image acquisition unit collects the commander's body movement in real time, and enters the contour extraction unit and feature extraction unit successively to obtain Commander’s hand gesture Hu image moment feature vector, send this vector to the feature matching unit to query the most matching body movement sample class, and then send the...

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Abstract

The present invention relates to a crane intelligent lifting system based on limb motion recognition. Based on a human-computer interaction system of six control units, the crane intelligent lifting system is characterized in that: 1) a large zoom network camera continuously collects multiple sets of standard limb motions of the command personnel, 2) a large zoom network camera collects limb motions of the command personnel in real time through the cloud platform on the crane cockpit, and then enters a contour extraction unit and a feature extraction unit to obtain a gesture Hu image moment feature vector of the command personnel; and 3) query is performed through a sample classifier by using the SVM machine learning algorithm, and the most matched limb motion sample class is returned, sothat the corresponding crane command signal is transmitted to the crane controller to complete the crane lifting work. According to the system disclosed by the present invention, the shortcomings of the above-mentioned existing limb motion recognition technology is overcome, that the signal human judgment and command mode is not friendly enough is overcome, and referring to the national standard GB5082-85 of the lifting command signal, the command personnel can be tracked in real time, and the system has the advantages of a low cost, strong robustness and high real-time performance.

Description

technical field [0001] The invention relates to an intelligent crane hoisting system based on body movement recognition, which belongs to the technical field of pattern recognition and human-computer interaction. technical background [0002] The traditional crane hoisting system relies on the commander's command gestures for human control. With the extensive development of human-computer interaction and image processing, the intelligent hoisting system that combines machinery and computer control has a very good application for improving hoisting efficiency and operator comfort. value. [0003] At present, the control methods using body movements have the following deficiencies: [0004] Chinese patent CN105353667A discloses a system and method for controlling a vehicle through body movements. The method pre-stores one or several body movement information of the human body in the form of electrical signals into a data storage module, and then uses sensor equipment to colle...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06K9/00G06K9/62
CPCG06F3/017G06V40/113G06F18/2411
Inventor 倪涛邹少元张红彦孔志飞缪海峰刘海强周磊郑旭东王彬
Owner JILIN UNIV
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