Attention training system and method based on target detection and SSVEP

A target detection and training system technology, applied in the field of attention training system, can solve the problems of little innovation in task design, single training elements, drug side effects, etc., and achieve the effect of being suitable for popularization and use, the method is simple and feasible, and the cost is low.

Pending Publication Date: 2022-03-08
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Drug therapy is a method that most medical institutions will adopt. For children with severe attention deficits, drug therapy is the fastest effective, but most drugs have serious side effects, and once the drug is stopped, the symptoms will recur
The general compu

Method used

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  • Attention training system and method based on target detection and SSVEP
  • Attention training system and method based on target detection and SSVEP
  • Attention training system and method based on target detection and SSVEP

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] In this example, see figure 1 , a kind of attention training system based on target detection and SSVEP, comprises camera, EEG cap, computer, mechanical arm, attention training interface, target detection unit and SSVEP decoding unit, it is characterized in that: described EEG cap passes wireless The computer is connected with the computer in the way, the computer includes the attention training interface, the target detection unit and the SSVEP decoding unit, and the camera is connected with the computer through a cable;

[0071] The camera: used to obtain the video stream and transmit it to the attention training interface and the target detection unit on the computer side;

[0072] The EEG cap: used to collect the SSVEP EEG signal output by the user, and transmit the EEG signal to the computer terminal;

[0073] The computer: used to display the attention training interface, using the target detection unit, the video stream collected by the camera is passed through ...

Embodiment 2

[0077] This embodiment is basically the same as Embodiment 1, especially in that:

[0078] In this example, see Figure 1-Figure 2 , the process of performing target detection by the SSD target detection and recognition algorithm includes two processes of off-line training and online recognition, wherein the off-line training step includes:

[0079] a-1. Build a target detection training set;

[0080] a-2. Input the training set into the SSD target detection network for training;

[0081] a-3. Generate SSD target detection model;

[0082] The online identification process includes:

[0083] b-1. Read the video stream collected by the camera;

[0084] b-2. Load the offline trained SSD target detection model;

[0085] b-3. After the image is preprocessed, it is passed into the network structure to obtain the target information;

[0086] b-4. Use non-maximum value suppression to remove target frame information with high repetition rate;

[0087] b-5. Output target informat...

Embodiment 3

[0096] This embodiment is basically the same as the above-mentioned embodiment, and the special features are:

[0097] In this embodiment, a kind of attention training method based on target detection and SSVEP adopts the above-mentioned embodiment to operate based on the attention training system of target detection and SSVEP, and the operation steps are as follows:

[0098] (1) The user wears the EEG cap and connects the camera;

[0099] (2) Open the attention training interface, click the button to open the camera, and the attention training interface will detect according to the SSD target detection algorithm;

[0100] (3) Click the start training button;

[0101] (4) When stimulation flickers appear on the attention training interface, the user stares at the corresponding flickering block according to the voice prompt, and the attention training interface draws stimulation flickering, while the EEG cap collects EEG signals and transmits them to the SSVEP decoding unit on...

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Abstract

The invention discloses an attention training system and method based on target detection and SSVEP. The attention training system comprises a camera, an electroencephalogram cap, a computer and a mechanical arm. The camera is used for collecting a video stream sent to the target detection module for target detection; the electroencephalogram cap is used for collecting and transmitting SSVEP electroencephalogram signals; the computer comprises an attention training interface, a target detection unit and an SSVEP decoding unit, the attention training interface draws a target frame and generates a flicker block of a corresponding article in real time, the SSVEP decoding unit decodes the electroencephalogram signal through preprocessing and an FBCCA algorithm to obtain the flicker block watched by a user, converts a decoding result into a control instruction and sends the control instruction to the mechanical arm, and the mechanical arm is used for controlling the target frame to be detected. And the mechanical arm grabs corresponding articles according to the instruction. By means of natural man-machine interaction, attention training can be carried out, the selective attention level and the continuous attention level are effectively improved, meanwhile, reference is provided for attention training methods and means, and good application prospects of the brain-computer interface technology in the fields of child development and the like are shown.

Description

technical field [0001] The present invention designs an attention training system and method based on target detection and SSVEP for ADHD (Attention Deficit Hyperactivity Disorder) and school-age children and adolescents. The system includes a camera, an EEG cap, a computer, a robotic arm, an attention training interface, a target detection unit, and an SSVEP decoding unit. It combines EEG biosignals with computer software training methods to help users perform attention training. Background technique [0002] Attention problems in children are quite common at present, and when the attention problems become clinically significant, they will be diagnosed as Attention Deficit Hyperactivity Disorder (ADHD). The data shows that the prevalence rate of ADHD in Chinese school-age children is about 1.5%-10%. The typical symptoms of the disease are inattention, hyperactivity, and impulsiveness. Attention problems are also listed as the primary factor causing children's learning disab...

Claims

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Application Information

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IPC IPC(8): A61M21/00A61B5/00A61B5/378A61B5/386
CPCA61M21/00A61B5/378A61B5/386A61B5/7267A61B5/72A61M2021/005
Inventor 杨帮华黄逸灵王照坤汪小帆夏新星高守玮
Owner SHANGHAI UNIV
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