Attention training system and method based on target detection and SSVEP

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...

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 computer software training is to transplant the traditional attention training tasks to the computer, but many software simply use the computer to replace the paper and pen operation, the training elements are single, and there is not much innovation in the task design

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