Wheelchair control method based on brain waves and wheelchair control system combined with voice

A control system and control method technology, applied in general control systems, control/regulation systems, electric speed/acceleration control, etc., can solve the problems of inability to control wheelchair movements, reduce travel freedom, and wheelchair mobility, etc., to achieve Ease of modification and maintenance, improvement of automation, and improvement of production efficiency

Inactive Publication Date: 2018-10-12
SHANDONG AGRICULTURAL UNIVERSITY +2
View PDF12 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Wheelchairs are an important travel tool for the elderly, patients, or disabled people with limited mobility. For the above-mentioned people, in many cases, they not only have walking disabilities, but also their hands cannot control the movement of wheelchairs well, or they can only use their hands It is very difficult to control the mobility of the wheelchair
In this way, if you want to realize the travel requirements, you need the help of others, which reduces the freedom of travel

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
  • Wheelchair control method based on brain waves and wheelchair control system combined with voice
  • Wheelchair control method based on brain waves and wheelchair control system combined with voice
  • Wheelchair control method based on brain waves and wheelchair control system combined with voice

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The invention provides a wheelchair control method based on brain waves, comprising the following steps:

[0029]S1: Collect the wheelchair user's brain wave signal, filter out the surrounding noise and power signal interference, and convert the brain wave signal into a brain wave data signal; among the signals extracted from the brain wave, there are 12 different kinds of brain wave signals, including RAW WAVE original brain wave, Delta, Theta, Low Alpha, High Alpha, Low Beta, High Beta, Low Gamma, Mid Gamma, Noise, Attention, Mediation, in these 12 different brain wave signals, collected by RAWWAVE, Attention channel The brain wave signal is used as the reference signal, which is the first choice for the brain wave processing signal;

[0030] S2: Using an average filtering algorithm to filter the brainwave data signal processed in step S1;

[0031] Define sampling value C, accumulator S, average value A, sampling times N,

[0032] Initialization A=initial value, S=A...

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 wheelchair control method based on brain waves and a wheelchair control system combined with voice. According to the wheelchair control method, filtering, feature extractionand signal classification are performed on the acquired brain waves and then the brain waves are converted into wheelchair control signals to control wheelchair movement. The wheelchair control systemcomprises a wheelchair movement motor, a processor module, a voice module, a motor driving module, an obstacle detection module, a road condition detection module and a first communication module group. The wheelchair control system also comprises a brain wave acquisition device and a terminal control device. The brain wave detection device comprises a brain wave acquisition and processing moduleand a second communication module. The terminal control device comprises a mobile phone and a server. The wheelchair user is enabled to control wheelchair movement through the brain waves, the voiceor the manual mode, the wheelchair control consciousness of the wheelchair user can be converted into the voice information and the obstacle and road condition detection and broadcasting can be performed in the wheelchair movement process so that the automation, the intellectualization, the safety and the reliability of wheelchair control can be enhanced.

Description

technical field [0001] The invention belongs to the field of transportation tools suitable for patients or disabled persons, and in particular relates to a wheelchair control method based on brain waves and a wheelchair control system combined with voice. Background technique [0002] Wheelchairs are an important travel tool for the elderly, patients, or disabled people with limited mobility. For the above-mentioned people, in many cases, they not only have walking disabilities, but also their hands cannot control the movement of wheelchairs well, or they can only use their hands It is very difficult to control the mobility of the wheelchair. In this way, if you want to realize the travel requirements, you need the help of others, which reduces the freedom of travel. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a wheelchair control method based on brain waves and a wheelchair control system combined with voic...

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 Applications(China)
IPC IPC(8): G05D1/00G05D1/02G05D13/62G05B19/418
CPCG05B19/41855G05B19/4189G05B2219/2637G05D1/0088G05D1/0238G05D1/0242G05D13/62Y02P90/02
Inventor 柳平增王祥龙崔宁宁徐琳柳建增刘哲
Owner SHANDONG AGRICULTURAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products