Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 579-583.doi: 10.11896/jsjkx.200700153

• Interdiscipline & Application • Previous Articles     Next Articles

Design and Implementation of Neurofeedback Intervention System Based on Unity

HE Yan, ZHANG Chen-yang   

  1. School of Communications and Information Engineering,Xi'an University of Posts & Telecommunications,Xi'an 710121,China
  • Online:2020-11-15 Published:2020-11-17
  • About author:HE Yan,born in 1982,Ph.D,associate professor.Her main research interests include intelligent information proces-sing,complex system and complex network.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (81460206) and Shaanxi Natural Science Foundation (2019JQ861).

Abstract: The plastic brain represents its cognition recovery capability from injury,and neurofeedback training can improve this recovery process efficiently.Due to the side effects including drug resistance,neurofeedback-based brain rehabilitation training attracts much attention recently in the field of brain research.As an effective treatment for clinical brain diseases such as autism and attention deficit hyperactivity disorder,brain regulation and modulation can gradually restore its cognitive function through advanced cognitive task training.There are various kinds of individual cognitive training.In this paper,the Unity3D game engine is applied to design and develop a neurofeedback therapy system which is called Speeding.Firstly,this system introduces the neural feedback mechanism apart from traditional thinking training,and the difficulty of training will be adjusted timely according to the condition detection of the brain,therefore it enhances the purpose and pertinence of brain training and then the training efficiency could be improved.Secondly,this system adopts the map and gem props to carry out multi-task thinking training,which makes the player pay closer attention so as to improve the training effect.By way of accomplishing the design of multiple scenarios corresponding to gradient training difficulties,this system enables improving the working condition of the brain as well as providing technical support for the rehabilitation and treatment of the cerebral nervous system.

Key words: Brain computer interface, Neural feedback, Plasticity, Rehabilitation

CLC Number: 

  • R318
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