Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Unmanned platform control system integrating myoelectric and brain electrical information and control method

An unmanned platform and control system technology, applied in the field of human interaction, can solve the problems of unmanned platform danger, inability to integrate and process, unmanned platform wrong actions, etc., and achieve accurate and reliable recognition of actions

Inactive Publication Date: 2018-03-20
COMP APPL TECH INST OF CHINA NORTH IND GRP
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, gesture interaction is the most direct operation method in human-computer interaction. In the existing gesture interaction, only the operator's hand movements are recognized, and the gestures of the operator's entire arm (including the forearm, upper arm and hand) cannot be recognized. However, it is also possible to cause hand movements during the movement of the forearm and upper arm. Therefore, in the process of gesture recognition, it is necessary to eliminate the influence of relative movement in order to obtain the correct gesture of the operator.
At the same time, the existing gesture interaction cannot properly fuse the operator's EEG signal and the operator's EMG signal, resulting in the inability to correctly capture the operator's correct action intention, which in turn leads to wrong actions on the controlled unmanned platform Unmanned platforms are in danger

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Unmanned platform control system integrating myoelectric and brain electrical information and control method
  • Unmanned platform control system integrating myoelectric and brain electrical information and control method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] Example 1, such as figure 1 As shown, an unmanned platform control system that fuses EMG and EEG information according to an embodiment of the present invention includes: an EEG signal acquisition and processing module, a gesture EMG signal acquisition module, a gesture movement signal acquisition module, and an information fusion processing module , wireless communication module, unmanned platform controller.

[0055] The EEG signal acquisition and processing module communicates with the information fusion processing module through Bluetooth. The EEG signal acquisition and processing module is used to collect the EEG information of the operator, and the collected EEG information is processed and classified and then output to the information fusion processing module Perform fusion processing.

[0056] The gesture myoelectric signal acquisition module communicates with the information fusion processing module through the SPI bus. The gesture myoelectric signal acquisiti...

Embodiment 2

[0073] Embodiment 2, a method for manipulating an unmanned platform that fuses EMG and EEG information, including:

[0074] Step 1, paste A2 dry electrode, Fp2 dry electrode and C4 dry electrode on the right earlobe A2 area, right forehead Fp2 area and right crown center C4 area of ​​the operator's head respectively;

[0075] An inertial measurement unit is tied with an elastic band near the wrist joint and the elbow joint of the operator's two arms respectively;

[0076] A surface muscle electrode was pasted on the skin surface of the extensor digitorum, extensor hallucis brevis, flexor digitorum superficialis and flexor carpi ulnaris of the forearm of the operator's two arms respectively.

[0077] Step 2, the operator starts gestures;

[0078] The A2 dry electrode, the Fp2 dry electrode and the C4 dry electrode respectively collect the EEG signals in the A2 area, the Fp2 area EEG signals and the C4 area EEG signals;

[0079] The four surface muscle electrodes on the forear...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an unmanned platform control system integrating myoelectric and brain electrical information. The system comprises an electroencephalogram signal acquisition and processing module which communicates with an information fusion processing module through Bluetooth, a gesture electromyographic signal acquisition module which communicates with the information fusion processing module through an SPI bus, a gesture movement signal acquisition module which communicates with the information fusion processing module through a serial port, the information fusion processing modulewhich communicates with a wireless communication module through a serial port, and the wireless communication module which communicates with an unmanned platform controller through a serial port. Theinvention further discloses an unmanned platform control method integrating myoelectric and brain electrical information. According to the invention, the gesture action of the entire arm of an operator can be recognized; the action intention of the operator can be correctly captured; and accurate control of an unmanned platform is realized.

Description

technical field [0001] The present invention relates to the technical field of human interaction, in particular to an unmanned platform control system and control method that integrates myoelectricity and electroencephalogram information. Background technique [0002] Myoelectric signal is a kind of bioelectric signal generated by neuromuscular activity, which contains a lot of information related to limb movement, and is the comprehensive result of muscle bioelectric activity on the skin surface in time and space. The EEG signal is a very weak non-stationary signal, which contains a large number of electrophysiological activity information of brain nerve cells, and reflects people's thinking activities and body movements. According to the characteristics of myoelectric signal and EEG signal, the combination of the two is applied to the field of human-computer interaction. As a kind of human behavior, gestures are convenient, fast, rich in meaning, and easy to understand. I...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G05B19/042A61B5/00A61B5/0476A61B5/0488A61B5/11
CPCA61B5/1116A61B5/72A61B5/369A61B5/389G05B19/0423G05B2219/25257
Inventor 赵小川
Owner COMP APPL TECH INST OF CHINA NORTH IND GRP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products