A teleoperation robot system and method driven by mixed bioelectrical signals

A technology for teleoperating robots and bioelectric signals, which is applied in the fields of instruments, mechanical mode conversion, computer parts, etc., can solve the problems of poor man-machine efficiency and difficulty in satisfying operators, and achieves reducing complexity and improving remote operation control accuracy. , the effect of a good operating environment

Active Publication Date: 2022-06-24
SOUTHEAST UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

[0003] At present, the existing robot control system based on motor imagery EEG signals is a one-dimensional discrete control system. Each motor imagery task corresponds to a control command, and each time a motor imagery task is executed, a control command is sent to control the robot to do a corresponding Action, man-machine efficiency is poor, and it is difficult to meet the needs of the operator to control the robot by using EEG. In order to realize the natural communication between the user and the environment, it is very important to realize the two-dimensional continuous control system of the robot based on EEG signals.

Method used

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  • A teleoperation robot system and method driven by mixed bioelectrical signals
  • A teleoperation robot system and method driven by mixed bioelectrical signals
  • A teleoperation robot system and method driven by mixed bioelectrical signals

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Embodiment Construction

[0037] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0038] figure 1 This is the system structure diagram of the present invention, a teleoperation robot system driven by mixed bioelectrical signals, including an EEG signal acquisition module, an EEG signal acquisition module, a signal processing module, a wireless network transmission module, a robot control module, a force touch detection module, visual detection module, haptic feedback module and visual feedback module; wherein,

[0039] The EEG signal acquisition module is used to collect the EEG signal of the sensory motor area of ​​the brain through the EEG cap and output the EEG signal to the signal processing module;

[0040] The eye electrical signal acquisition module is used to collect the eye electrical signal when the operator blink...

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Abstract

The invention discloses a remote operation robot system driven by mixed bioelectrical signals, which includes an EEG signal acquisition module, an oculoelectric signal acquisition module, a signal processing module, a wireless network transmission module, a robot control module, a force-tactile detection module, a vision Detection module, tactile feedback module and visual feedback module. The invention also discloses a control method of a remote-operated robot system driven by mixed bioelectrical signals. The invention controls the tele-operated robot through the combination of the operator's motor imagery EEG signal and oculoelectric signal, and simultaneously uses visual feedback and force Haptic feedback provides real-time feedback of control status, improving control efficiency and precision.

Description

technical field [0001] The invention relates to the field of brain-computer interface, in particular to a teleoperated robot system and method driven by mixed bioelectrical signals. Background technique [0002] With the continuous development of science and technology, a new type of control system called brain control has developed rapidly. This is a human-computer integrated control system based on a brain-computer interface (BCI). A communication control system that does not depend on the normal output channels of peripheral nerves and muscles in the brain, the brain-computer interface system has been successfully applied to life assistance for the disabled, rehabilitation training for stroke patients and injured limbs, real-time monitoring of operator status, and game entertainment. And smart home, control engineering, aerospace and other fields. [0003] At present, the existing robot control system based on motor imagery EEG signals is a one-dimensional discrete contr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01
CPCG06F3/013G06F3/015G06F3/016G06F2203/014G06F2203/011
Inventor 徐宝国何小杭宋爱国张琳琳魏智唯张大林李文龙李会军曾洪
Owner SOUTHEAST UNIV
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