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

A serial multi-modal brain control method for soft grasping operation of prosthetic hand

A multi-modal, prosthetic hand technology, applied in the field of intelligent robots, to improve the information transmission rate and accuracy, and reduce the misoperation rate

Active Publication Date: 2018-04-17
XI AN JIAOTONG UNIV
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Patent CN201110196026.4 discloses a control system for an intelligent wheelchair based on a multimodal brain-computer interface, and patent CN 201110268891.5 discloses a method for controlling an automatic vehicle with a multimodal brain-computer interface. None of the above invention patents involves the use of artificial hands Multimodal hybrid brain control method

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
  • A serial multi-modal brain control method for soft grasping operation of prosthetic hand
  • A serial multi-modal brain control method for soft grasping operation of prosthetic hand
  • A serial multi-modal brain control method for soft grasping operation of prosthetic hand

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0030] refer to figure 1 , Figure 4 (b), figure 1 In the experiment, the EEG signals of the O1 and O2 positions in the occipital lobe area of ​​the subject's head and the F7 and F8 positions in the lateral frontal cortex area were collected, and the reference electrodes were placed behind the ears on both sides. The present invention relates to a serial multi-modal brain control device for compliant grasping operation of a prosthetic hand, which includes an EEG signal acquisition module 310 placed on the subject's head, and a scene animation visual induction module 370 placed in front of the subject. Prioritize the use of portable 16-channel wireless EEG acquisition equipment, and select the EEG signals at the O1 and O2 positions in the occipital lobe area and the F7 and F8 positions in the lateral frontal cortex area under the international standard...

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 a serial multi-mode brain control method for a smooth grabbing operation of an artificial hand. The method comprises the following steps: when a tested subject undergoes initiative expression drive and scene automation visual evoking, collecting electroencephalogram signals of F7 and F8 channels in a lateral frontal cortex area and O1 and O2 channels in an occipital area by virtue of electroencephalogram collection equipment, and conducting amplification and band-pass filtering preprocessing on the electroencephalogram signals; extracting time-frequency domain characteristic values of the preprocessed electroencephalogram signals by virtue of signal processing equipment, and in accordance with a serial control method, judging artificial hand basis action types corresponding to the electroencephalogram signals under four initiative expression drives as well as time-frequency characteristic values of artificial hand basic action processes corresponding to the electroencephalogram signals generated from four different scene automation visual evoked pictures; and finally, depending on a judging result, controlling the artificial hand to complete four basic actions.

Description

technical field [0001] The invention relates to the field of intelligent robots, in particular to a serial multi-modal brain control method for a prosthetic hand compliant grasping operation. Background technique [0002] Brain-computer interface technology establishes a direct connection between EEG signals and computers. With the continuous development of brain-computer interface technology at home and abroad, the new concept of brain-control technology has emerged as the times require. The "brain control" technology is based on the brain-computer interface technology. By extracting the EEG signal generated by the human or animal's cerebral cortex, it can speculate on the thinking activity of the brain and translate it into corresponding commands to control peripheral computers or other devices. Electromechanical devices for mind control of human or animal peripherals. [0003] Hybrid brain control technology is a new research direction proposed on the basis of traditiona...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01
CPCA61F2/72
Inventor 张小栋李睿赖知法张黎明陆竹风刘畅马伟光尹贵
Owner XI AN JIAOTONG UNIV
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