Focus training method, device and system based on brain wave acquisition, and storage medium

A training method and concentration technique, applied in psychotherapy, medical science, diagnosis, etc., to achieve stable training effect, comfortable training, and easy to carry

Pending Publication Date: 2019-06-07
睿远空间教育科技(深圳)有限公司
View PDF6 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, there is a lack of an effective way to train children's concentration

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
  • Focus training method, device and system based on brain wave acquisition, and storage medium
  • Focus training method, device and system based on brain wave acquisition, and storage medium
  • Focus training method, device and system based on brain wave acquisition, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] see figure 1 , figure 1 It is a schematic flow chart of an embodiment of the brainwave acquisition-based concentration training method of the present invention. like figure 1 As shown, the concentration training method includes steps:

[0032] S11: receiving the brain wave data of the user;

[0033] Preferably, before step S11, further steps are included: acquiring personal information of the logged-in user and creating a user database. In this way, multiple users can be supported, and the training progress of each user can exist independently without interfering with each other.

[0034] S12: Drive the display interface to change based on the brainwave data; wherein, the display interface corresponds to a preset scene of a training module, and the training module is used to train the user's concentration.

[0035] The training module of step S12 is introduced in detail below:

[0036] This training module comprises at least one training unit, and this training mo...

Embodiment 2

[0095] see figure 2 , figure 2 It is a schematic flow chart of another embodiment of the brain wave acquisition-based concentration training method of the present invention. like figure 2 As shown, the concentration training method includes steps:

[0096] S21: Collect the brain wave data of the user;

[0097] In step S21, the brainwave data of the user is collected by the brainwave sensor, and the brainwave sensor is set on a wearing device such as a headgear or a headband, and the user wears the wearing device to collect brainwave data.

[0098] S22: Send the user's brain wave data;

[0099] In step S22, the brain wave data of the user is sent through wired communication or wireless communication. Preferably, the user's brain wave data is sent through wireless communication, so that the user can wear it more comfortably.

[0100] S23: Receive the brain wave data of the user;

[0101] The work flow and method of step S23 are the same as step S11 of the first embodim...

Embodiment 3

[0106] see image 3 , image 3 It is a structural schematic diagram of an embodiment of the concentration training device based on brainwave acquisition of the present invention. like image 3 As shown, the concentration training device includes a receiving module 31 , a training module 32 (at least one in number) and a processing module 33 . The receiving module 31 is used to receive the user's brain wave data; the training module 32 is used to train the user's concentration; the processing module 33 is used to drive the display interface of the preset scene of the training module 32 to change based on the brain wave data.

[0107] Wherein, the composition of the training module 32 is the same as that of the training module in the first embodiment, and will not be repeated here.

[0108] Preferably, the training device further includes a login module 34 and a training result module 35 . The login module 34 is used to obtain the personal information of the logged-in user 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 focus training method, device and system based on brain wave acquisition, and a storage medium. The focus training method includes the steps: receiving brain wave data of a user; and driving a display interface to change according to the brain wave data, wherein the display interface corresponds to a preset scene of a training module, and the training module is used to train the focus of the user. The focus training method performs focus training on the user through a game-like training method, and the user's game completion condition is closely related to the user'sfocus, thus overcoming the technical problem that in the prior art training for the focus of children lacks an effective method, and providing an efficient and fun training method. The focus trainingmethod, device and system based on brain wave acquisition can be widely applied to focus training for children.

Description

technical field [0001] The present invention relates to the technical field of children's educational software, in particular to a method, device, system and storage medium for concentration training based on brain wave collection. Background technique [0002] Children's ability to learn is closely related to their level of concentration. In the prior art, there is a lack of an effective method for training children's concentration. [0003] The most advanced brain wave sensor ThinkGear AM chip is the world's first EEG sensor developed by American Neurosky (Chinese name: Shennian Technology), because it uses dry electrode sensors instead of conductive coatings used in hospitals. The glue wet sensor and advanced noise cancellation function make it possible to be applied in a large scale in consumer electronics. Contents of the invention [0004] The present invention aims to solve one of the technical problems in the related art at least to a certain extent. Therefore, ...

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): G16H20/70A61B5/0476
Inventor 陈远锋
Owner 睿远空间教育科技(深圳)有限公司
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