Unlock instant, AI-driven research and patent intelligence for your innovation.

A control method based on EEG signal, central control device, cloud server and system

A technology of EEG signal and cloud server, applied in general control system, control/regulation system, program control, etc., can solve the problems of insufficient development and excavation of intelligence, convenience and practicability

Active Publication Date: 2021-05-25
FOSHAN SHUNDE MIDEA ELECTRICAL HEATING APPLIANCES MFG CO LTD
View PDF21 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current brain wave intelligent control system is only used as a tool to assist human-computer interaction, and its intelligence, convenience and practicality have not been sufficiently developed and excavated.

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 control method based on EEG signal, central control device, cloud server and system
  • A control method based on EEG signal, central control device, cloud server and system
  • A control method based on EEG signal, central control device, cloud server and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0077] figure 1 It is a schematic flow chart of the control method based on the EEG signal of the central control device in the embodiment of the present invention, such as figure 1 As shown, the flow of the control method based on EEG signals in the embodiment of the present invention includes the following steps:

[0078] Step 101: Obtain electroencephalophysiological data detected by a detection device, and convert the electroencephalographic data into image data.

[0079] In practical applications, the electroencephalophysiological data detected by the detection equipment often cannot be directly identified to determine the control instructions expressed by the electroencephalophysiological data. The data is converted into image data, and the control instruction is identified based on the image data, wherein, when the electroencephalogram data includes brain wave amplitude data, the data whose amplitude exceeds the preset amplitude data range in the brain wave data can be...

Embodiment 2

[0091] figure 2 It is a schematic flowchart of a control method based on EEG signals on the cloud server side in an embodiment of the present invention, as figure 2 As shown, the control method based on the EEG signal on the cloud server side of the embodiment of the present invention includes the following steps:

[0092] Step 201: After receiving the image data, the cloud server identifies the image data and determines the feature data of the image data.

[0093] In practical applications, the cloud server needs to digitize the received image data so that the image data can be identified in the next step, including:

[0094] Perform digital description processing on the pixels of the image data, and characterize the color and brightness attributes of each pixel in the image data with color data and brightness data respectively;

[0095] Based on the color data and brightness data, classify the pixels of the digitally described image data after processing, and determine t...

Embodiment 3

[0108] image 3 It is a schematic flow diagram of collecting EEG signals by the EEG signal detection equipment according to the embodiment of the present invention, such as image 3 As shown, the process of collecting EEG signals by the EEG signal detection device in the embodiment of the present invention includes the following steps:

[0109] Step 301: Obtain brain electrophysiological data through a detection device set on a wearable device.

[0110] In practical applications, the detection device can be a brain electrophysiological data acquisition device with a Think Gear AM chip as its core.

[0111] Step 302: Send the acquired brain electrophysiological data to a central control device according to a preset network configuration.

[0112] Wherein, the EEG signal detection device is provided with an automatic network distribution module for connecting to other home appliances and central control equipment, and the automatic network distribution module is paired with ot...

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 control method based on electroencephalogram signals, comprising: acquiring electroencephalogram physiological data detected by a detection device, converting the electroencephalographic physiological data into image data; sending the image data to a cloud server; receiving The cloud server sends the control instruction for the peripheral device generated based on the image data, and sends the control instruction to the corresponding peripheral device. The invention also discloses a central control device, a cloud server and a system.

Description

technical field [0001] The present invention relates to household electrical appliances and information processing technology, in particular to a control method based on electroencephalogram signals, a central control device, a cloud server and a system. Background technique [0002] At present, artificial intelligence includes a wide range of science and technology, which consists of different fields, such as machine learning, computer vision, biological science, neural network science, energy technology, genetic engineering, etc. The main purpose of artificial intelligence research is to enable machines to perform Complicated work that can only be done by human intelligence. The so-called intelligent products on the market today cannot be regarded as artificial intelligence according to the strict definition in theory. The real artificial intelligence products can perform tasks from the level of human thinking. However, the products produced by the current home appliance ...

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): G05B19/042G06F3/01
CPCG05B19/0423G05B2219/25257G06F3/015
Inventor 陈必东
Owner FOSHAN SHUNDE MIDEA ELECTRICAL HEATING APPLIANCES MFG CO LTD