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

Brain-controlled robot system based on multivariate synchronous exponential algorithm

A robotic system and exponential algorithm technology, applied in the field of brain control, to achieve the effect of being convenient for portability, reliable transmission and high real-time performance

Pending Publication Date: 2021-12-07
SHANGHAI UNIV OF ENG SCI
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current brain-computer interaction system mainly has the following difficulties and defects: how to design a better visual stimulation interface, so as to better induce high-quality EEG signals; how to improve the accuracy and real-time performance of online algorithms; How to build an interface for the application module to transmit instructions to the application device in real time; how to design a good feedback module to improve the control of external devices by the subjects; whether the brain-controlled interactive system is stable and portable in practical applications

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
  • Brain-controlled robot system based on multivariate synchronous exponential algorithm
  • Brain-controlled robot system based on multivariate synchronous exponential algorithm
  • Brain-controlled robot system based on multivariate synchronous exponential algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0035] In describing the present invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", " The orientation or positional relationship indicated by "outside", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, so as to Specific orientation configurations and operations, therefore, are not to be construed as limitations on the invention.

[0036] Such as figure 1 ...

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

PropertyMeasurementUnit
Impedance valueaaaaaaaaaa
Login to View More

Abstract

The invention discloses a brain-controlled robot system based on a multivariate synchronous exponential algorithm. The invention belongs to the field of brain control. The system comprises an electroencephalogram acquisition module, an online algorithm module, an interactive application module and a feedback module, wherein the online algorithm module comprises a signal calculation module, a calculation platform and a signal frequency identification module; wherein the interactive application module comprises a robot, a circulating receiving module and an interface building module for real-time and ordered instruction transmission. Sine coding stimulation is adopted in the design of a stimulation interface, and stable stimulation can be generated, so that a high-quality steady-state visual evoked potential is induced; an online algorithm adopts a multivariate synchronization index algorithm without training, and results can be classified in real time; an interface between the Matlab and the NAO robot is established by adopting a TCP / IP, and has the advantages of high real-time performance, order arrival of instructions and the like; and finally, all the adopted devices are wireless devices, so that the device is convenient to carry.

Description

technical field [0001] The invention relates to the technical field of brain control, in particular to a brain-controlled robot system based on a multivariate synchronization index algorithm. Background technique [0002] The brain-computer interface is a direct communication and control channel established between the human brain and computers or other electronic devices. Through this channel, people can express ideas or manipulate devices directly through the brain without language or actions. This can effectively enhance the ability of patients with severe physical disabilities to communicate with the outside world or control the external environment, so as to improve the quality of life of patients. With the development of artificial intelligence, brain-computer interface technology has gradually entered people's field of vision, such as brain-controlled wheelchairs, brain-controlled typing, and brain-controlled robotic arms. [0003] The current brain-computer interact...

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): G06F3/01H04L29/06
CPCG06F3/015H04L69/16
Inventor 常亮王娆芬莫亚东刘婕段浩明孟哲秦珂陈蓓
Owner SHANGHAI UNIV OF ENG SCI
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