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Advanced mechanical arm control system based on BCI and implementation method

A technology of a control system and an implementation method, applied in the field of intelligent robots, can solve the problems of inflexible control methods, poor safety, and complicated operations, and achieve the effects of precise multi-objective control, time saving, and simple operation.

Inactive Publication Date: 2019-02-22
INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the above-mentioned patents generally have problems such as poor security, inflexible control methods, and complicated operations.

Method used

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  • Advanced mechanical arm control system based on BCI and implementation method
  • Advanced mechanical arm control system based on BCI and implementation method
  • Advanced mechanical arm control system based on BCI and implementation method

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Embodiment Construction

[0044] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0045] A BCI-based advanced robotic arm control system such as figure 1 As shown, it includes machine vision subsystem, brain-computer interface subsystem and robotic arm subsystem. The machine vision subsystem is used to identify and locate the coordinates of the target object. The brain-computer interface subsystem collects scalp EEG signals generated by steady-state visual evoked potentials and performs real-time analysis and feature extraction on them, so as to decode people's control intentions online and generate computer-recognizable control signals. The robotic arm subsystem can move to a corresponding position according to the user's requirements and realize the grasping of any object in the space within the scope of physical constraints. The brain-computer interface subsystem and the machine vision subsystem communicate with the manip...

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Abstract

The invention relates to an advanced mechanical arm control system based on BCI and an implementation method thereof. The system comprises a machine vision subsystem, a brain-computer interface subsystem and a mechanical arm subsystem; the brain-computer interface subsystem and the machine vision subsystem are connected to the mechanical arm subsystem through a TCP / IP for communication, and the machine vision subsystem recognizes and positions coordinates of a target object in a photographing mode; and the brain-computer interface subsystem is used for acquiring scalp electroencephalogram signals generated by steady-state visual evoked potentials and performing real-time analysis and feature extraction on the scalp electroencephalogram signals, the control intention of a person is online decoded and a computer-recognizable control command is generated, and the machine arm subsystem operates according to the control command. According to the system, the design is reasonable, the controlintention of the person can be decoded online and the computer-recognizable control command is generated to control the mechanical arm to operate, the accurate multi-objective control function is realized, and the system has the characteristics of being safe, efficient and reliable.

Description

technical field [0001] The invention belongs to the technical field of intelligent robots, in particular to a BCI-based advanced manipulator control system and an implementation method thereof. Background technique [0002] Although many disabled people are completely paralyzed in limbs and unable to meet the needs of normal daily life, the brain and the entire neural network of these people can still work normally. In order to realize the demands of this type of people to have a normal life, and at the same time alleviate the economic pressure and nursing workload of the society, the integration of various modern high-tech can greatly alleviate the distressed situation. Researchers are also increasingly applying other technologies to brain science research, especially the development and application of brain-computer interface devices. Robots can solve nursing problems in a certain environment, meet the life needs of patients at the same time, and help improve their confid...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B25J13/00B25J13/08B25J9/16G06F3/01G06K9/00
CPCG06F3/015B25J9/1602B25J9/1697B25J13/00B25J13/08G06V20/10
Inventor 陈小刚
Owner INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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