Motion imagination brain-computer interface life auxiliary system based on cloud computing platform

The invention relates to a motor imagery brain-computer interface life auxiliary system based on a cloud computing platform, and the system comprises an electroencephalogram cap which is used for collecting an electroencephalogram signal of a user; the pneumatic glove is used for acting according to the movement instruction; the data transponder is respectively connected with the electroencephalogram cap and the pneumatic glove in a wireless mode, and is used for acquiring and forwarding the electroencephalogram signal and acquiring and forwarding the motion instruction; the MI cloud computing platform is connected with the pneumatic gloves and the data transponder in a wireless mode and used for receiving the electroencephalogram signals, decoding the electroencephalogram signals and generating the corresponding motion instructions based on decoding results. Compared with the prior art, through a personalized model of a user, in combination with electroencephalogram data collected by an electroencephalogram