Brain-computer interaction structured environment control method and system based on environmental understanding and medium

Abstract

The invention discloses a brain-computer interaction structured environment control method and system based on environmental understanding and a medium. The method comprises the following steps: detecting a control intention of an operator through a brain-computer interface based on motor imagery MI; if the control intention of the operator is detected, analyzing the video picture and detecting apotential operable object in the current visual field of the operator; and if the operable object is detected, determining the type of the operable object, and outputting a control instruction (the control instruction of the operator detected based on the motor imagery MI through the brain-computer interface) to the controlled object according to the type of the operable object. Themethod and system can serve the daily life of a patient with sports function impairment, improve the life autonomy of the patient, can give full play to the advantages of an artificial intelligence technology in the aspects of environmental perception and understanding on the basis of a brain-computer interface technology, and achieve the construction of efficient intelligent human-computer interaction for a real environment.

Description

technical field [0001] The present invention relates to the technical field of brain-computer interface, in particular to a brain-computer interaction structured environment control method, system and medium based on environmental understanding, which can be used to give full play to artificial intelligence technology in environmental perception and understanding on the basis of brain-computer interface technology Advantages in various aspects, and build an efficient intelligent human-computer interaction system. Background technique [0002] Brain-computer interface (BCI) technology is a communication system that directly communicates between the human brain and the outside world. By extracting the characteristics of the EEG signal, the recognized brain instructions or information are transmitted to the controlled external equipment, and finally the brain is completed. The direct control of external equipment has important application value in the fields of control, service...

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Problems solved by technology

[0003] However, when the control object becomes more and more complicated, if the brain-computer interface control is completely relied on, the operation of the system will be limited by the double limitation of the accuracy of EEG signal analysis and the rate of information transmission, and frequent cognitive tasks will also increase the user's fatigue. Fatigue

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