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Brain computer interface-based self-adaptive home environment control device and control method thereof

A home environment, brain-computer interface technology, applied in the field of brain-computer interface application research, can solve the problem of no brain-controlled wheelchair and brain-controlled home appliances, and achieve the effect of improving the quality of life

Active Publication Date: 2016-10-12
华南脑控(广东)智能科技有限公司
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

The inventions mentioned above can only control one type of wheelchair or home appliances, but do not combine brain-controlled wheelchairs with brain-controlled home appliances

Method used

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  • Brain computer interface-based self-adaptive home environment control device and control method thereof
  • Brain computer interface-based self-adaptive home environment control device and control method thereof
  • Brain computer interface-based self-adaptive home environment control device and control method thereof

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with specific examples.

[0044] Such as figure 1 As mentioned above, the adaptive home environment control device described in this embodiment includes a visual stimulation screen, an EEG acquisition unit, a computer, a master controller and a slave controller.

[0045] The visual stimulation screen is a computer screen. The computer screen was positioned to suit the user's gaze, and the user induced the P300 signal by gazing at the flashing function keys on the stimulus screen. The function keys are regularly distributed in the stimulation screen in the form of rows and columns, and the two colors of black and green are flashing at intervals of 200 ms. Such as image 3 As shown, the function keys in the function selection interface include: "Switch", "OK", "Wheelchair", "Lamp", "TV", "Air Conditioner", and 6 "pseudo keys". Such as Figure 4 As shown, the function keys in the TV control interface...

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PUM

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Abstract

The invention discloses a brain computer interface-based self-adaptive home environment control device and a control method thereof. The device comprises a visual stimulation screen, a brain electricity acquisition unit, a computer, a master controller and a slave controller. The device comprises two parts: brain control home appliances and a brain control wheelchair; the patients with severe paralysis (such as spinocerebellar ataxia, amyotrophic lateral sclerosis and the like) can realize indoor movement by using the wheelchair and realize the control of home appliances (such as a television, an air conditioner and an electric lamp) while sitting on the wheelchair. The device is stable in performance, and can be used for effectively improving the self-care ability and life quality of the severe paralyzed patients.

Description

technical field [0001] The invention relates to the field of brain-computer interface application research, in particular to a brain-computer interface-based adaptive home environment control device and a control method thereof. Background technique [0002] There are many severely paralyzed patients in the world. They can only realize the movement of body position and the control of home appliances with the help of others. With the continuous development of the field of artificial intelligence, more and more research results are applied to assist such people in order to improve their quality of life. Among them, the field of brain-computer interface (brain-computer interface, BCI), as a branch of the field of neural engineering, has developed rapidly and has broad prospects, which has aroused an upsurge of research in the field of brain-computer interface. [0003] Brain Computer Interface (Brain Computer Interface, BCI) is a brand-new human-computer interaction system, wh...

Claims

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Application Information

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IPC IPC(8): G06F3/01G05B15/02G05B19/042A61G5/10
CPCG05B15/02G05B19/042G06F3/015A61G5/10A61G2203/10
Inventor 李远清李凯彭能能张瑞刘君
Owner 华南脑控(广东)智能科技有限公司
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